Codependency or Collaboration? Human-Computer Interaction: Dialogue, Conversation, Symbiosis (4)

[Part 1, Part 2, Part 3]

The fig tree is pollinated only by the insect Blastophaga grossorun. The larva of the insect lives in the ovary of the fig tree, and there it gets its food. The tree and the insect are thus heavily interdependent: the tree cannot reproduce without the insect; the insect cannot eat without the tree; together, they constitute not only a viable but a productive and thriving partnership. This cooperative “living together in intimate association, or even close union, of two dissimilar organisms” is called symbiosis. (Licklider, 1960).

The above quotation is from JCR Licklider’s seminal paper Man-Computer Symbiosis (1960). I had to grit my teeth as he kept going on about man and men and computers. To distract myself from the onset of a patriarchal rage, I decided that I needed to know the precise definition of seminal. Google gave me seed of semen.

The original meaning of the word computer actually means a person who did calculations, like women in 1731 who ran a household and were advised to be clever with their husband’s wages, and whilst I am wondering about who is the tree and who the insect in this scenario of man-computer symbiosis, I am thinking that it really isn’t a good idea to aspire to have computers and people functioning as natural living organisms who cannot survive without each other. I love technology I really do, but the idea that I cannot function without it is, at the very least, disturbing.

We got a new boiler the other day complete with a smart thermostat. The smart thermostat uses an app now installed on everyone’s phone along with our locations activated to see if we are home or not and the thermostat uses the information and corrects the temperature accordingly. It will also build up patterns of our daily routine what time we get up, have a shower, take a bath, etc., so that it can be ready for us. But, only if we are home and have our phones charged. Thankfully, there are buttons on the thermostat if the WiFi goes down, apparently the earlier versions didn’t have them, and we can also log into a web browser to make changes to its routine.

Theoretically I should be thrilled, it is better than me telling my Fitbit when my period is due so that it can tell me when my period is due – and since that blog, I have been given Google adverts for different sanitary products, I told you so! – or Google Nest which needs you to tell it how you want your house to run rather like my Fitbit. And, I do like data and patterns so I am interested in what it collects and what it does and if it is clever enough to respond to a cold snap or whatever.

But old habits die hard, so far we have got out an old room thermometer to check if the smart thermostat is measuring the temperature correctly as it seemed a bit high. It was right. (Just checked it, it says 25.8c the room thermometer says 22.8c quite a big difference) I guess I have just worked in computing too long and I have technology trust issues. If the Sonos is anything to go by when the WiFi goes down we are completely without music, well digital music at any rate. Last time, we got out the guitar and turned into the Vonn Trapps, I am not even joking. The alternative would be to keep other music formats and a player. But that idea doesn’t do a lot for me, I am more of a donor than a collector. I hate stuff filling up my space.

When I reader Licklider, I am reminded of ubiquitious computing rather than any other technology. I know I would rather my tech be ubiquitious than making me feel codependent on my mobile phone. All these apps for my heating, my music, my blogging, my Bikram, my electricity, my gas, it is slowly but surely turning into the precious and I feel like Gollum. I worry about my phone and can’t stand anyone touching it. Whereas ubicomp had the idea of one person, lots of computers interacting with, if I was doing it, the physiology of a person and making changes accordingly, rather than with the person’s mobile phone’s location, which strikes me as being a bit simplistic and not smart at all. (Just ‘cos you call it smart doesn’t make it smart.) And, then collecting and sharing over the Internet which causes us all to have the symptoms in the above codependent link – my phone does make me anxious and I try to please it all the time. I am forever staring at it and hoping it is doing ok, and I don’t like that feeling.

I have spent a lot of time writing about what social media can do for us, and how we can feel connected. But, in this scenario when it is not other people and it is an app, or sometimes it is other people via an app, if we are not in control, we become disconnected from ourselves and then we become addicted to the app or to the person. We give away our power and our data. The problem with these apps is that we have no control and we are barely a factor in the design. Our mobile phone is the factor in the design and it trains us to be codependent, addicted, anxious. Warmth after all is the bottom rung of Maslow’s hierarchy of needs and I am staring at my bloody phone hoping for the best. This is not symbiosis, this is codependency.

But back to Licklider and his seed of semen paper, a lot of what he was trying to imagine was probably about cooperation or collaboration of the kind I have blogged about before: a space of solutions to explore, with the computer doing the grunt work and the human doing the thinking. And, I believe it is possible to do that even with apps.

In a post, David Scott Brown, looks at what Licklider suggested in Man-Computer Symbiosis and what is possible today: shared processing, memory, better input-output, different languages, etc. And, I would add, in fields where the language is precise and limited, for example, Trading think about: buy, sell, high, low, and often over the phone so applications of AI are useful and will be able to do all sorts. All the data and conversations can be recorded and used and mined. It is extremely exciting, and memory and storage is it seems infinite which would make Licklider’s mind boggle.

As an undergraduate I had to learn sparce matrices, memory was something not to waste, it was expensive. In his paper, Licklider says:

The first thing to face is that we shall not store all the technical and scientific papers in computer memory. We may store the parts that can be summarized most succinctly-the quantitative parts and the reference citations-but not the whole. Books are among the most beautifully engineered, and human-engineered, components in existence, and they will continue to be functionally important within the context of man-computer symbiosis.

Imagine his face looking at the data centres all over the world storing memes and cat pictures and abusive tweets repeatedly without checking if they have already been saved, without indexing, without any sort of check on redundancy, an endless stream of drivvel. I am sure even Tim Berners-Lee wonders sometimes about the monster he has created.

And, books take so long to write, beautifully engineered they are, we lose ourselves in them and learn from them, they take us out of ourselves in the same way our phones do, but we are addicted to our phones and to our social media to that little hit of dopamine that social media gives us, which our books don’t always do. Books are work and we are passive whereas on our phones we feel active, but because our phones are controlling our homes and training us to be codependent and anxious and powerless, it is a vicious circle of more phones, fewer books.

In these times when I look at where we are going and I am not feeling good about it, like Licklider I turn to nature, as the best designs are in nature. I also look to the wisdom of yoga. So this is what I have:

When a bee gathers pollen, it also gathers a small amount of poison along with the pollen, both get transformed into nectar in the hive. The yogis say that when we learn to take negative situations and turn them into wisdom, it means we are progressing, and becoming skilful agents of the positive.

So, even though I worry about what happens when my whole life is literally on my phone and the world’s nature reserves are all full of data centres which contain every last terrible expression of humanity, and we are so disconnected from the nature around us that the oceans are filled with plastic, and many of us are in offices far away from the natural world staring into our bloody phones, and many of us do it to create technology. Surely we can create technology to change where we are. If we want a symbiosis we must make a human-planet one not a human-computer one. I don’t care what my Fitbit says I don’t want any technology in my ovaries thank you very much.

So, with that thought and the amazing technology I have at my fingertips today, I want to share an animated gif of my cat drinking from his water fountain. Licklider said:

Those years should be intellectually the most creative and exciting in the history of mankind

And, they are. I remain hopeful that we can collect enough data on ourselves to become self-aware enough to transform it into wisdom and create something better for all humanity and our planet. In the meantime I will be enjoying watching my cat have a drink of water and I am sure Licklider in 1960 would have been just as amazed too to see my cat drinking from the fountain on a phone more powerful technologically and psychologically than he ever could have imagined. It remains to be seen whether this is progress or not.

User or Used? Human-Computer Interaction: Dialogue, Conversation, Symbiosis (3)

If you torture the data enough, it will confess to anything.
– Darrell Huff, How to Lie With Statistics (1954).

[Part 1, Part 2, Part 4]

In the last blog I wrote about human dialogue with a computer versus the conversation between humans via a computer. The dialogue with a computer is heavily designed whereas human conversation especially via social media has come about serendipitously. For example, Twitter came from texting which was invented by engineers as tool to test mobile phones.

This is an example of what I call serendipitous design which works by users employing systems to do what they want it to do, which is the no-function-in-structure principle and then a designer find ways to support them. In contrast, the way to create systems which support users to do their job better uses the cardinal rule: know your user with all the various tools and techniques UX designers have borrowed from anthropology. You design with your user in mind, you manage their expectations, and you have them at the front of your mind as a major factor of the design so that the system has specific goals.

But, however hard you try, with each new system or software or form of communication, you often end up changing how people work and the dialogue is less about a field of possibilities with insight, intuition, and creativity, and more about getting people to do extra stuff on top of what they already do. And, because people are keen to get in on whatever new thing is happening they buy into what I call the myth of progress and adopt new ways of working.

This begs the question are we creating systems for users or the used?

This begs the question are we creating systems for users or the used? Today, I was chatting to a roadsweeper, he told me that last year he was driving a lorry but the council’s initiative to reduce carbon emissions means that 80 lorries were taken off the road and the drivers are now out sweeping the streets on foot. He showed me his council-issue mobile phone which tracks his every move and presumably reports back to the office his whereabouts at all times. Not that he needs it, if he sits on a wall too long, local residents will phone the council to complain that he is sitting down and not working hard enough.

Tracking is not new, smart badges, invented at Xerox PARC, were trialled in the 1990s in the early days of ubiquitious computing (ubicomp). The idea was to move computers off the desktop and embed them into our infrastructure so that we interact with them without our knowledge, freeing the user from the need to learn complex systems. In the badges’ case, everyone could be located by everyone else in the building, rather like the Harry Potter Marauder’s map. However, it smacks rather too much of surveillance, especially if your boss decides you are spending too long in the toilet or by the water cooler and, that your behaviour needs to change. The road sweeper instead of a badge has a mobile phone and people who spy on him and grass him up in part because they lack context and don’t know that he is entitled to a 20 minute break.

Must I really run all my important ideas past my fridge?

But it’s not just as part of a job, we have Google Maps recording every journey we make. And yet, ubicomp was less about having a mobile device or about surveillance, it was the forerunner to the Internet of Things, the ambient life, which is there to make things easier so the fridge talks to your online shopping to say that you need more milk. But what if I go vegan? Do I need to inform my fridge first? Must I really run all my important ideas past my fridge? This is not the semiotic relationship psychologist and mathematician J.C.R. Licklider had when he had his vision of man-computer symbiosis.

I was speaking to someone the other day who monitors their partner’s whereabouts. They think it’s useful to see where the partner is at any given time and to check that the partner is where they said they would be. No biggie, just useful. I mentioned it to another person who said that they had heard several people do the same. I wonder why am I so horrified and other people just think it’s practical.

Insidious or practical? I feel we are manipulated into patterns of behaviour which maintain the status quo.

Last week, I woke up and checked my Fitbit to see how I had slept which is slightly worrying now – I never needed anything to tell me how I slept before – and there was a new box in there: Female Health. I clicked on it. It asked me about birth control, when my next period is due, how long it lasts and so on. Intrigued, I entered the requested data. The resulting box said: Your period is due in eight days. Really? I mean, really? It was wrong even though I had tinkered with the settings. So, then it had a countdown: Your period will last four more days, three more days…etc. Wrong again. And, now it is saying: Four days to most fertile days. This is so irritating. It feels like Argos, you know, how the system and the reality of you getting something you’ve ordered never quite match up. I know together me and my Fitbit can build up data patterns. Will they be insightful? Time will tell. The bits which really concern me is that it said it wouldn’t share this information to anyone, okay… but then it added that I couldn’t share this information either. What? I am guessing that it wants me to feel safe and secure. But what if I wanted to share it? What does this mean? Menstrual cycles are still taboo? I can share my steps but not my periods? My husband and I laughed about the idea of a Fitbit flashing up a Super Fertile proceed with caution message when out on date night.

I regularly lie in bed pretending to be asleep to see if I can fool my fitbit

But, it’s not just me and my Fitbit in a symbiotic relationship is it? Someone is collecting and collating all that data. What are they going to do with that information prying into me and my Fitbit’s symbiotic space? It rather feels like someone is going to start advertising in there offering birth control alternatives and sanitary protection improvements. It feels invasive, and yet I signed up to it, me the person who thinks a lot about technology and privacy and data and oversharing. And, even now as I sit here and think about my mixed feelings about my Fitbit, the idea of wearing something on my arm which only tells me the time, and not my heart rate, nor the amount of steps I am doing, feels a bit old-fashioned – I am myself am a victim of the myth of progress. I am user and used. Confession, I regularly lie in bed pretending to be asleep to see if I can fool my Fitbit. It’s changing my behaviour all the time. I never used to lie in bed pretending to be asleep.

Back in 2006, I watched Housewife 49, it was so compelling, I bought the books. Nella Last was a housewife in Barrow-in-Furness who kept a diary along with 450 other people during and after the war. It was part of the Mass Observation project set up by an anthropologist, a poet, and a filmmaker, which sounds rather like the maker culture of HCI today. They didn’t believe the newpapers reporting of the abdication and marriage of King Edward VII, so went about collecting conversation and diary entries and observations on line. Rather like today, we have social media with endless conversation and diary entries and observations. The newspapers are scrambling to keep up and curate other peoples’ tweets because they have traditionally been the only ones who shape our society through propaganda and mass media. Now, we have citizens all over the world speaking out their version. We don’t need to wait for the newspapers.

We are living through a mass observation project of our own, a great enormous social experiment and it is a question worth asking: User or used? Who is leading this? And what is their goal? And, then we have the big companies collecting all our data like Google. And, we all know the deal, we give them our data, they give us free platforms and backups and archives. However, it doesn’t necessarily mean that they are right about the results of their research on our data, or have the right to every last piece of information to use, even if you give it freely, because there is a blurring of public and private information about me and my steps and periods and birth control.

Anthropologist Agustín Fuentes has written a thoughtful article about the misuse of terms such as biology in Google’s manifesto and consequently, the sweeping generalisations to which it comes. Fuentes says we have no way of knowing what happened before we collected data and even now as we collect data, we have to maintain our integrity and interpret it correctly by using terms and definitions accurately. Otherwise, we think that data tells the truth and stereotypes and bias and prejudices are maintained. I love the quote:

If you torture the data enough, it will confess to anything.

Information is power. Hopefully, though, there are enough anthropologists and system designers around who can stop the people who own the technology telling us what to think by saying they are having insights into our lives whilst peddling old ideas. We need to pay attention to truth and transparency before we trust so that we can have more open dialogue in the true sense of the word – an exploration of a field of possibilities – to lead to real and effective change for everyone.

Let us all be users not the used.

[Part 4]

Let’s Talk! Human-Computer Interaction: Dialogue, Conversation, Symbiosis (2)

[Part 1]

I chuckled when I read Rebecca Solnit describing her 1995 life: She read the newspaper in the morning, listened to the news in the evening and received other news via letter once a day. Her computer was unconnected to anything. Working on it was a solitary experience.

Fast forward 20+ years and her computer, like most other people’s, feels like a cocktail party, full of chatter and fragmented streams of news and data. We are living permanently in Alvin Toffler’s information overload. We are creating more data per second than we did in a whole year in the 1990s. And yet, data or information exchange is why we communicate in the first place, so I wanted to ponder here, how do we talk using computers?

Commandments

Originally, you had to ask computer scientists like me. And, we had to learn the commands of the operating system we were using say, on a mainframe with VAX/VMS or DEC; on a networked workstation with UNIX, or a personal computer which used MS/DOS.

Then, we had to learn whatever language we needed. Some of the procedural languages I have known and loved are: Assembler, Pascal, COBOL, ADA, C/C++, Java, X/Motif, OpenGL (I know I will keep adding to these as I remember them). The declarative PROLOG, and (functional, brackety) LISP, and scripts like php, Perl, Python, Javascript. The main problem with scripts is that they don’t have strong types, so you can quite easily pass a string to an integer and cause all sorts of problems and the compiler won’t tell you otherwise. They are like a hybrid of the old and new. The old when computer time was expensive and humans cheap so we had to be precise in our instructions, and the new computers are cheap and humans cost more, so bang in some code. Don’t worry about memory or space. This is ok up to a point but if the human isn’t trained well, days may be lost.

As an undergraduate I had to learn about sparse matrices to not waste computer resources, and later particularly using C++ I would patiently wait and watch programs compile. And, it was in those moments, I realised why people had warned me that to choose computers was to choose a way of life which could drive you mad.

How things have changed. Or have they?

Dialogue

When I used to lecture human-computer interaction, I would include Ben Schneiderman’s eight golden rules of interface design. His book Designing the User Interface is now in its sixth edition.

When I read the first edition, there was a lot about dialog design as way back then there were a lot of dialog boxes (and American spelling) to get input/output going smoothly. Graphical-user interfaces had taken over from the command line with the aim of making computers easy to use for everyone. The 1990s were all about the efficiency and effectiveness of a system.

Just the other week I was browsing around the Psychology Now website, and came upon a blogpost about the psychological term locus of control. If it is internal, a person thinks that their success depends on them, if it is external their success is down to fate or luck. One of Scheidermann’s rules is: Support internal locus of control, so you make the user feel that they can successfully achieve the task they have set out to do on the computer because they trust it to behave consistently because they know what to expect next, things don’t move around like the ghost in the wall.

Schneiderman’s rules were an interpretation of a dialogue in the sense of a one-to-one conversation (dia means two, logos can mean speech) to clarify and make coherent. That is to say: One person having a dialogue with one computer by the exchange of information in order to achieve a goal.

This dialogue is rather like physicist David Bohm’s interpretation which involves a mutual quest for understanding and insight. So, the user was be guided to put in specific data via a dialog box and the computer would use that information to give new information to create understanding and insight.

This one-to-one seems more powerful nowadays with Siri, Alexa, Echo, but, it’s still a computer waiting on commands and either acting on them or searching for the results in certain areas online. Put this way, it’s not really much of a dialogue. The computer and user are not really coming to a new understanding.

Bohm said that a dialogue could involve up to 40 people and would have a facilitator, though other philosophers would call this conversation. Either way, it is reminiscent of computer supported cooperative work (CSCW) a term coined in 1984 that looked at behaviour and technology and how computers can facilitate, impair, or change collaborative activities (the medium is the message) whether people do this on the same or different time zone, in the same or different geographical locations, synchronously or asynchronously. CSCW has constantly changed and evolved especially with the World Wide Web and social media.

I remember being at an AI conference in 1996 and everyone thought that the answer to everything was just put it online and see what happened then. But just because the WWW can compress time and space it doesn’t follow that a specific problem can be solved more easily.

Monologue to Interaction

The first people online were really delivering a monologue. Web 1.0 was a read-only version of the WWW. News companies like the BBC published news like a newspaper. Some people had personal web pages on places like Geocities. Web pages were static and styled with HTML and then some CSS.

With the advent of Web 2.0, things got more interactive with backend scripting so that webpages could serve up data from databases and update pages to respond to users input data. Social media sites like Flickr, YouTube, Facebook, Twitter were all designed for users to share their own content. Newspapers and news companies opened up their sites to let users comment and feel part of a community.

But this chatter was not at all what Bohm had in mind, this is more like Solnit’s cocktail party with people sharing whatever pops in their head. I have heard people complain about the amount of rubbish on the WWW. However, I think it is a reflection of our society and the sorts of things we care about. Not everyone has the spare capacity or lofty ambition to advance humanity, some people just want to make it through the day.

Web 3.0 is less about people and more about things and semantics – the web of data. Already, the BBC uses the whole of the internet instead of a content management system to keep current. Though as a corporation, I wonder, has the BBC ever stopped to ask: How much news is too much? Why do we need this constant output?

Social media as a cocktail party

But, let’s just consider for a moment, social media as a cocktail party, what an odd place with some very strange behaviour going on:

  • The meme: At a cocktail party, imagine if someone came up to us talking like a meme: Tomorrow, is the first blank page of a 365 page book. Write a good one. We would think they had banged their head or had one shandy too many.
  • The hard sell: What if someone said: Buy my book, buy my book, buy my book in our faces non-stop?
  • The auto Twitter DM which says follow me on facebook/Instagram/etc. We’ve gone across said hi, and the person doesn’t speak but slips us a note which says: Thanks for coming over, please talk to me at the X party.
  • The rant: We are having a bit of a giggle and someone comes up and rants in our faces about politics, religion, we try to ignore them all the while feeling on a downer.
  • The retweet/share:That woman over there just said, this man said, she said, he said, look at this picture… And, if it’s us, we then say: Thanks for repeating me all over the party.

Because it is digital, it becomes very easy to forget that we are all humans connected together in a social space. The result being that there’s a lot of automated selling, news reporting, and shouting going on. Perhaps it’s less of a cocktail party more of a market place with voices ringing out on a loop.

Today, no one would say that using a computer is a solitary experience, it can be noisy and distracting, and it’s more than enough to drive us mad.

How do we get back to a meaningful dialogue? How do we know it’s time to go home when the party never ends, the market never closes and we still can’t find what we came for?

[Part 3]

The ghosts of AI

I fell in love with Artificial Intelligence (AI) back in the 1990s when I went to Aberdeen University as a post-graduate Stalker, even though I only signed up for the MSc in AI because it had an exchange program which meant that I could study in Paris for six months.

And, even though they flung me and my pal out of French class for being dreadful students ( je parle le C++), and instead of Paris, I ended up living in Chambéry (which is so small it mentions the launderette in the guidebook), it was a brilliant experience, most surprisingly of all, because it left me with a great love of l’intelligence artificielle: Robotics, machine learning, knowledge based systems.

AI has many connotations nowadays, but back in 1956 when the term was coined, it was about thinking machines and how to get computers to perform tasks which humans, i.e., life with intelligence, normally do.

The Singularity is nigh

Lately, I have been seeing lots of news about robots and AI taking over the world and the idea that the singularity – that moment when AI becomes all powerful it self-evolves and changes human existence – is soon. The singularity is coming to get us. We are doomed.

Seriously, the singularity is welcome round my place to hold the door open for its pal and change my human existence any day of the week. I have said it before: Yes please dear robot, come round, manage my shopping, wait in for Virgin media because they like to mess me about, and whilst you are there do my laundry too, thank you.

And, this got me thinking. One article said the singularity is coming in 2029 which reminded me of all those times the world was going to end according to Nostradamus, Old Mother Shipton, the Mayan Calendar, and even the Y2K bug. As we used to say in Chambéry : Plus ça change, plus c’est la même chose. To be honest, we never, ever said that, but my point is that our fears don’t change, even when dressed up in a tight shiny metallic suit. Nom du pipe!

We poor, poor humans we are afraid of extinction, afraid of being overwhelmed, overtaken, and found wanting. True to form I will link to Maslow’s hierarchy of needs and repeat that we need to feel safe and we need to feel that we are enough. Our technology may be improving – not fast enough as far as I am concerned – but our fears, our hopes, our dreams, our aspirations remain the same. As I say in the link above, we have barely changed since Iron Age times, and yet we think we have because we buy into the myth of progress.

We frighten ourselves with our ghosts. The ghosts which haunt us: In the machine, in the wall, and in our minds where those hungry ghosts live – the ones we can never satisfy.

The ghost in the machine

The ghost in the machine describes the Cartesian view of the mind–body relationship, that the mind is a ghost in the machine of the body. It is quoted in AI, because after all it is a philosophical question: What is the mind? What is intelligence? And, it remains a tantalising possibility, especially in fiction that somewhere in the code of a machine or a robot, there is a back door, or cellular automata – a thinking part, which like natural intelligence is able to create new thoughts, new ideas, as it develops. The reality is that the guy who first came up with the term talked about the human ability to destroy itself with its constant repeating patterns in the arena of political–historical dynamics but used the brain as the structure. The idea that there is a ghost in the machine is an exciting one which is why fiction has hung onto it like a willo the wisp and often uses it as a plot device, for example, in the Matrix (there’s lots of odd bits of software doing their own thing) and I, Robot (Sunny has dreams).

Arthur C Clarke talked about it when he said that technology is magic – something, I say all the time, not least of all, because it is true. When I look back to the first portable computer I used and today, the power of the phone in my hand, well, it is just magic.

That said, we want the ghost in the machine to do something, to haunt us, to surprise us, to create for us, because we love variety, discoverability, surprise, and the fact that we are so clever, we can create life. Actually we do create life, mysteriously, magically, sexily.

The ghost in the wall

The ghost in the wall is that feeling that things change around us with little understanding. HCI prof, Alan Dix uses the term here. If HCI experts don’t follow standards and guidelines, the user ends up confused in an app without consistency which gives the impression of a ghost in the wall moving things, ‘cos someone has to be moving the stuff, right?

We may love variety, discoverability and surprise, but it has to be logical to fit within certain constraints and within the consistency of an interface with which we are interacting, so that we say: I am smart, I was concentrating, but yeah, I didn’t know that that would happen at all, in the same we do after an excellent movie, and we leave thrilled at the cleverness of it all.

Fiction: The ghost of the mind

Fiction has a lot to answer for. Telling stories is how we make sense of the world, they shape society and culture, and they help us feel truth.

Since we started storytelling, the idea of artificial beings which were given intelligence, or just came alive, is a common trope. In Greek mythology, we had Pygmalion, who carved a woman from ivory and fell in love with her so Aphrodite gave her life and Pervy Pygmalion and his true love lived happily ever after. It is familar – Frankinstein’s bride, Adam’s spare rib, Mannequin (1987). Other variations less womeny-heterosexy focused include Pinocchio, Toy Story, Frankinstein, Frankenweenie, etc.

There are two ways to go: The new life and old life live happily ever after and true love conquers all (another age old trope), or there is the horror that humans have invented something they can’t control. They messed with nature, or the gods, they flew too close to the sun. They asked for more and got punished.

It is control we are after even though we feel we are unworthy, and if we do have control we fear that we will become power crazed. And then, there are recurring themes about technology such as humans destroying the world, living in a post-apocalyptic world or dystopia, robots taking over, mind control (or dumbing down), because ultimately we fear the hungry ghost.

The hungry ghost

In Buddhism, the hungry ghosts are when our desires overtake us and become unhealthy, and insatiable, we become addicted to what is not good for us and miss out on our lives right now.

There is also the Hungry Ghosts Festival which remembers the souls who were once on earth and couldn’t control their desires so they have gotten lost in the ether searching, constantly unsatisfied. They need to be fed so that they don’t bother the people still on earth who want to live and have good luck and happy lives. People won’t go swimming because the hungry ghosts will drown them, dragging them down with their insatiable cravings.

Chinese character gui meaning ghost (thanks @john_sorensen_AU)

In a lovely blog the Chinese character above which represents ghost but in English looks like gui, which is very satisfying given this is a techyish blog, is actually nothing to do with ghosts or disincarnate beings, it is more like a glitch in the matrix – a word to explain when there is no logical explanation. It also explains when someone behaves badly – you dead ghost. And, perhaps is linked to when someone ghosts you, they behave badly. No, I will never forgive you, you selfish ghost. Although when someone ghosts you they do the opposite to what you wish a ghost would do, which is hang around, haunt you, and never leave you. When someone ghosts you, you become the ghost.

And, for me the description of a ghost as a glitch in the matrix works just as well for our fears, especially about technology and our ghosts of AI – those moments when we fear and when we don’t know why we are afraid. Or perhaps we do really? We are afraid we aren’t good enough, or perhaps we are too good and have created a monster. It would be good if these fears ghosted us and left us well alone.

Personally, my fears go the other way. I don’t think the singularity will be round to help me any time soon. I am stuck in the Matrix doing the washing. What if I’m here forever? Please come help me through it, there’s no need to hold the door – just hold my hand and let me know there’s no need to be afraid, even if the singularity is not coming, change is, thankfully it always is, it’s just around the corner.

Human-computer interaction, cyberpsychology and core disciplines

A heat map of the multidisciplinary field of HCI @ Alan Dix

I first taught human-computer interaction (HCI) in 2001. I taught it from a viewpoint of software engineering. Then, when I taught it again, I taught it from a design point of view, which was a bit trickier, as I didn’t want to trawl through a load of general design principles which didn’t absolutely boil down to a practical set of guidelines for graphical-user interface or web design. That said, I wrote a whole generic set of design principles here: Designing Design, borrowing Herb Simon’s great title: The Science of the Artificial. Then, I revised my HCI course again and taught it from a practical set of tasks so that my students went away with a specific skill set. I blogged about it in a revised applied-just-to-web-design version blog series here: Web Design: The Science of Communication.

Last year, I attended a HCI open day Bootstrap UX. The day in itself was great and I enjoyed hearing some new research ideas until we got to one of the speakers who gave a presentation on web design, I think he did, it’s hard to say really, as all his examples came from architecture.

I have blogged about this unsatisfactory approach before. By all means use any metaphor you like, but if you cannot relate it back to practicalities then ultimately all you are giving us is a pretty talk or a bad interview question.

You have to put concise constraints around a given design problem and relate it back to the job that people do and which they have come to learn about. Waffling on about Bucky Fuller (his words – not mine) with some random quotes on nice pictures are not teaching us anything. We have a billion memes online to choose from. All you are doing is giving HCI a bad name and making it sound like marketing. Indeed, cyberpsychologist Mary Aiken, in her book The Cyber Effect, seems to think that HCI is just insidious marketing. Anyone might have been forgiven for making the same mistake listening to the web designer’s empty talk on ersatz architecture.

Cyberpsychology is a growing and interesting field but if it is populated by people like Aiken who don’t understand what HCI is, nor how artificial intelligence (AI) works then it is no surprise that The Cyber Effect reads like the Daily Mail (I will blog about the book in more detail at a later date, as there’s some useful stuff in there but too many errors). Aiken quotes Sherry Turkle’s book Alone Together, which I have blogged about here, and it makes me a little bit dubious about cyberpsychology, I am waiting for the book written by the neuroscientist with lots of brainscan pictures to tell me exactly how our brains are being changed by the Internet.

Cyberpsychology is the study of the psychological ramifications of cyborgs, AI, and virtual reality, and I was like wow, this is great, and rushed straight down to the library to get the books on it to see what was new and what I might not know. However, I was disappointed because if the people who are leading the research anthropomorphise computers and theorise about metaphors about the Internet instead of the Internet itself, then it seems that the end result will be skewed.

We are all cyberpsychologists and social psychologists now, baby. It’s what we do

We are all cyberpsychologists and social psychologists, now baby. It’s what we do. We make up stories to explain how the world works. It doesn’t mean to say that the stories are accurate. We need hard facts not Daily Mail hysteria (Aiken was very proud to say she made it onto the front page of the Daily Mail with some of her comments). However, the research I have read about our behaviour online says it’s too early to say. It’s just too early to say how we are being affected and as someone who has been online since 1995 I only feel enhanced by the connections the WWW has to offer me. Don’t get me wrong, it hasn’t been all marvellous, it’s been like the rest of life, some fabulous connections, some not so.

I used to lecture psychology students alongside the software engineering students when I taught HCI in 2004 at Westminster University, and they were excited when I covered cognitive science as it was familiar to them, and actually all the cognitive science tricks make it easy to involve everyone in the lectures, and make the lectures fun, but when I made them sit in front of a computer, design and code up software as part of their assessment, they didn’t want to do it. They didn’t see the point.

This is the point: If you do not know how something works how can you possibly talk about it without resorting to confabulation and metaphor? How do you know what is and what is not possible? I may be able to drive a car but I am not a mechanic, nor would I give advice to anyone about their car nor write a book on how a car works, and if I did, I would not just think about a car as a black box, I would have to put my head under the bonnet, otherwise I would sound like I didn’t know what I was talking about. At least, I drive a car, and use a car, that is something.

Hey! We’re not all doctors, baby.

If you don’t use social media, and you just study people using it, what is that then? Theory and practice are two different things, I am not saying that theory is not important, it is, but you need to support your theory, you need some experience to evaluate the theory. Practice is where it’s at. No one has ever said: Theory makes perfect. Yep, I’ve never seen that on a meme. You get a different perspective, like Jack Nicholson to his doctor Keanu Reeves says in Something’s Gotta Give: Hey! We’re not all doctors, baby. Reeves has seen things Nicholson hasn’t and Nicholson is savvy enough to know it.

So, if you don’t know the theory and you don’t engage in the practice, and you haven’t any empirical data yourself, you are giving us conjecture, fiction, a story. Reading the Wikipedia page on cyberpsychology, I see that it is full of suggested theories like the one about how Facebook causes depression. There are no constraints around the research. Were these people depressed before going on Facebook? I need more rigour. Aiken’s book is the same, which is weird since she has a lot of references, they just don’t add up to a whole theory. I have blogged before about how I was fascinated that some sociologists perceived software as masculine.

In the same series I blogged about women as objects online with the main point being, that social media reflects our society and we have a chance with technology to impact society in good ways. Aiken takes the opposite tack and says that technology encourages and propagates deviant sexual practices (her words) – some I hadn’t heard of, but for me, begs the question: If I don’t know about a specific sexual practice, deviant or otherwise, until I learn about on the Internet (Aiken’s theory), then how do I know which words to google? It is all a bit chicken and egg and doesn’t make sense. Nor does Aiken’s advice to parents which is: Do not let your girls become objects online. Women and girls have been objectified for centuries, technology does not do anything by itself, it supports people doing stuff they already do. And, like the HCI person I am, I have designed and developed technology to support people doing stuff they already do. I may sometimes inadvertently change the way people do a task when supported by technology for good or for bad, but to claim that technology is causing people to do things they do not want to do is myth making and fear mongering at its best.

The definition of HCI that I used to use in lectures at the very beginning of any course was:

HCI is a discipline concerned with the design, evaluation and implementation of interactive computing systems for human use and with the study of major phenomena surrounding them (ACM, 1992).

For me, human-computer interaction was and still remains Gestaltian: The whole is greater than the sum of the parts, by this I mean, that the collaboration of a human and a computer is more than a human typing numbers into a computer and then waiting for the solution, or indeed typing in sexually deviant search terms into a web crawler to find a tutorial. And, with the advent of social media, HCI is more than one person connecting to another, or broadcasting online, which is why the field of cyberpsychology is so intriguing.

But the very reason why I left the field of AI and went into HCI is: AI reasons in a closed world and the limits of the computational power you have available. There are limits. With HCI, that world opens up and the human gets to direct the computer to do something useful. Human to human communication supported by technology does something else altogether which is why you might want the opinion of a sociologist or a psychologist. But, you don’t want the opinion of the sociologist on AI when they don’t understand how it works and has watched a lot of sci-fi and thinks that robots are taking over the world. Robots can do many things but it takes a lot of lines of code. And, you don’t want the opinion of a cyberpsychologist who thinks that technology teaches people deviant sexual practices and encourages us all to literally pleasure ourselves to death (Aiken’s words – see what I mean about the Daily Mail?) ‘cos she read one dodgy story and linked it to a study of rats in the 1950s.

Nowadays, everyone might consider themselves to be a bit of a HCI expert and can judge the original focus of HCI which is the concept of usability: easy to learn, easy to use. Apps are a great example of this, because they are easy to learn and easy to use, mainly though because they have limited functionality, that is they focus on one small task, like getting a date, ordering a taxi, sharing a photo, or a few words.

However, as HCI professor Alan Dix says in his reflective Thirty years of HCI and also here about the future: HCI is a vast and multifaceted community, bound by the evolving concept of usability, and the integrating commitment to value human activity and experience as the primary driver in technology.

He adds that sometimes the community can get lost and says that Apple’s good usability has been sacrificed for aesthetics and users are not supported as well as they should be. Online we can look at platforms like Facebook and Twitter and see that they do not look after their users as well as they could (I have blogged about that here). But again it is not technology, it is people who have let the users down. Somewhere along the line someone made a trade-off: economics over innovation, speed over safety, or aesthetics over usability.

HCI experts are agents of change. We are hopefully designing technology to enhance human activity and experience, which is why the field of HCI keeps getting bigger and bigger and has no apparent core discipline.

It has a culture of designer-maker which is why at any given HCI conference you might see designers, hackers, techies and artists gathering together to make things. HCI has to exist between academic rigour and exciting new tech, no wonder it seems to not be easy to define. But as we create new things, we change society and have to keep debating areas such as intimacy, privacy, ownership, visibility as well as what seems pretty basic like how to keep things usable. Dix even talks about having human–data interaction, as we put more and more things online, we need to make sense of the data being generated and interact with it. There is new research being funded into trust (which I blogged about here). And Dix suggest that we could look into designing for solitude and supporting users to not respond immediately to every text, tweet, digital flag. As an aside, I have switched off all notifications, my husband just ignores his, and it just boggles my mind a bit that people can’t bring themselves to be in charge of the technology they own. Back to the car analogy, they wouldn’t have the car telling them where they should be going.

Psychology is well represented in HCI, AI is well represented in HCI too. Hopefully we can subsume cyberpsychology too, so that the next time I pick up a book on the topic, it actually makes sense, and the writer knows what goes on under the bonnet.

Technology should be serving us, not scaring us, so if writers could stop behaving like 1950s preachers who think society is going to the dogs because they view how people embrace technology in the same way they once did rocknroll and the television, we could be more objective about how we want our technological progress to unfold.