Monday, 13 May 2013

CHI 2013 (Part II) - Citizen Science, biometrics, gamification@work and student games

So on to part two. Apart attending a workshop, I also presented a poster at CHI: Do Games Attract or Sustain Engagement in Citizen Science? A Study of Volunteer Motivations (see below). The poster is based on some work being carried out as part of the Citizen Cyberlab project that Charlene Jennett and Anna Cox are involved with. The paper reports on the findings of a set of pilot interviews that Cassandra Cornish-Trestail carried out with people who play citizen science games - in this case, Foldit and Eyewire. The answer to the question in the title is no, game mechanics didn't seem to attract volunteers but, in addition to tools such as chat facilities and forums, they do help to sustain involvement over time. Essentially, the people who play these games are already interested in science, they aren't gamers. In addition, what game mechanics allow for is greater participation in a range of social interactions while also providing ways in which to recognise volunteer achievements as being meaningful. I really quite enjoyed chatting about the poster and luckily there were quite a few interested people to chat too :-)



I got to meet Elaine Massung a researcher from Bristol who was involved in the Close the Door project - where they were investigating motivations around crowdsourcing to support forms of environmental activism. Interestingly, their work suggests that game mechanics such as points can actually decrease motivation for some people. I also met Anne Bowser, a PhD student from Maryland University who presented the PLACE (Prototyping Location, Activities and Collective Experience - see below) framework for designing location based apps and games earlier on in the conference. I enjoyed hearing about Anne's work with on floracaching (a form of geocaching) and how they developed the Biotracker app - a serious geocaching game for citizen science that encourages players to gather plant phenology data. I'm hoping to be able to use at some point in the UK too!


Anne presented at the session on game design, where I also got to hear about Pejman Mirza-Babaei's work on Biometric storyboards. Unfortunately, Pejman couldn't make the conference but his supervisor Lennart Nacke was there to present the paper. I first became aware of Pejman's work during my PhD and it was really nice to see how far it had come. I'm not a big fan of biometrics, I didn't find the raw data I collected to be useful in relation to identifying game-play breakdowns and breakthroughs within my case studies but the tool that was presented during this talk was pretty cool. It allows for designers to consider the what they want players experience to be (see below) and provides a neat visualisation of the GSR (galvanic skin response) and EMG (electromyography) data that can them be compared with what was intended. The fact the Pejman also compared using this tool with a classic user testing approach (alongwith a control group) was great too and the results indicated that the BioST approach did lead to higher game-play quality. However, I do have some questions about the work carried out, even after reading the paper. The main thing I'm not sure about is whether the BioST approach took more time than the standard gamer user experience approach. This is important, as I know from visiting Playable games, there isn't always a lot of time to get some feedback and provide suggestions to designers. There weren't actually that many differences between the BioST and Classic UT approach, is the former really worth it if it takes a lot longer? I was also unsure about how the tool dealt with artefacts such as movement - does the researcher have to manually clear these up and how long does this take? Finally, I noticed that the BioST tool allowed for player annotations where it looks like players were asked to review a recording of the game-play session and add their comments but I'm pretty sure the classic UT condition didn't also do this... Considering this is what I asked my participants to do and I got a lot of rich data from it, I wondered whether the conditions really were a fair comparison - could the player reviews have been helpful without the biometric data? Nevertheless, I do like that the tool presented does not consider biometric data alone as I think it's important to give player's a voice too. Also, I think the way in which the biometric data was visualised provided designers with a powerful tool for interpreting play experiences so I'd be keen to see more research like this.


Later on I attended the Gamification@Work panel, which has a really interesting mix of people including Sebastien Deterding and a number of people from industry. I particularly liked Sebastien's emphasis on ensuring that autonomy isn't taken away from people when using gameful approaches at work. He also provided us with some quotes from games journalists which clearly indicated how when you have to do something for work, even playing games, the activity can lose it's appeal. I took a lot of notes in this session as it got me thinking about how I would design a game (or gamify a task) but I'm still mulling over these. The people from industry also had some insightful contributions to make but I couldn't help coming away from the session a little concerned about how game mechanics can be used to track performance and manipulate people into behaving in different ways. Why does this make me uncomforatble in relation to work but less so in relation to education or promoting health? Some interesting questions were also raised at the end and while measurements may be important for showing improvement (or lack of it) it's important to remember that not everything can be reduced to metrics.

Other highlights from the latter part of the conference include the student game competition - the quality of games was seriously impressive and I'd really quite like to check out a few of them including Machinneers (a lovely looking puzzle adventure for children stealthily teaches logical thinking, problem solving and procedural literacy), ATUM (an innovative multi-layer point and click game) and Squidge (a really cute game controller that monitors player heart rate - see below); the Women's Representations in Technology panel - again a seriously interesting mix of people and perspectives which got me thinking about feminism and how gender isn't necessarily binary; Razvan Rughinis' paper on badges in education - where he discussed badge architectures and how they can be used to chart learning routes; and finally Bruno Latour's keynote - I have to be honest and say I did not find this the easiest talk to follow but I'm sure it got my brain working! There are definitely other people who have got a better handle on it than I do (e.g. J.Nathan Mathias).


It was a huge conference and in addition to the other talks I haven't mentioend, there are also a few sessions I didn't get to go to so I've also got paper on persuasive games and behaviour change to my reading list. In general though, the conference gave me lots to think about especially in terms of how I want my own research to continue, especially in terms of considering games in relation to my work on CHI+MED, which there may be more to say about later on...

Saturday, 11 May 2013

CHI 2013: Paris (Part I) - MOMA, games and learning, game players and the Games SIG

Last week I went to CHI in Paris - it's been a while since I've been to a major academic conference and I seem to have gotten out of the habit of blogging so I thought I would use this as an excuse to get back into it :-) Plus there was a lot of game sessions that have got me thinking.


It all started last Sunday with the MediCHI workshop. This was a good opportunity to talk to about the work I'm doing on CHI+MED, with respect to medical device safety, and to meet others in the field. The main conference started on Monday with a keynote from Paola Antonelli from MOMA. She gave us an overview of lots of intriguing design projects that MOMA has exhibited and while no specific HCI challenges were made explicit during the talk, I was reminded about how technology, including games, can make people think. Particularly interesting examples include PIG 05049 (Christien Meindertsma) and the Menstruation Machine (Hiromi Ozaki/Sputniko!). She also mentioned their recent games collection - extra points for the inclusion of Passage :-)

In terms of the game-related talks, Erik Harpstead discussed an educational game they had developed (a single player physics game called RumbleBlocks - see below) and how they used metrics to assess learning as part of the ENGAGE project. A toolkit was presented for logging game events and that allows for a replay of game-play so player behaviour can be analysed further. This toolkit seems like it could be really useful but my main question was whether collecting this type of logging data can actually account for situations where players progress but without gaining any real understanding of the principles behind what they are doing. This concern was partially addressed during the talk when the replay analysis indicated that the gameplay mechanics actually contravened one of the learning goals (where students were not lowering the centre of their structures, even though they were building one with wider bases and that were more symmetrical). The misalignment between content and gameplay was seen to potentially explain why there was not a difference between pre and post-test regarding centre of mass and also suggested that the game needs to be redesigned to remedy this issue.


Derek Lomas' talk on optimising learning and motivation in educational games through using crowdsourcing techniques also got my attention. What was particularly interesting about this study was the huge amount of data collected (one study has 10,000 participants the other 70,000 - all who played the online math game Battleship Numberline) and the questioning of the inverted-U hypothesis regarding challenge and engagement. Basically, flow theory suggests that if something is too easy, boredom will occur and if it is too hard, you'll get frustration - so a moderate amount of challenge would be the most engaging. However, the findings from Derek's work actually suggest that people find spent the most time playing when the challenge level was lowest thus indicating that  easier challenges are more engaging . Further, the studies indicated there is a trade-off between engagement and learning i.e. you can't have both... I'm going to have to read the paper for more details but there are several points here that I'd like to consider further. First, I'm questioning whether the length of time spent playing is a good measure of engagement (especially when children might be playing these games during school time - who is controlling the length of play if that is the case?). The terms engagement, motivation and enjoyment were all used interchangeably but I'm not sure they can all be reduced to amount of time spent playing. Surely I can enjoy something I play for less time more than something I might play for longer (e.g. if my motivation was to kill time)? Secondly, I want to look at how well integrated the game mechanics of Battleship Numberline are with the learning content - mainly because I don't like the idea that there needs to be a trade-off between engagement and learning! Further, given Jake Habgood's work on the importance of integrating game mechanics, flow and learning content I don't think there has to be. Finally, the authors also suggested that novelty might be more important than challenge in relation to engagement. This was particularly intriguing as I don't think it's something that has been explored in the literature on games and learning and I'm guessing there might be quite a lot to it.

Within the same session, Stephen Foster talked about designing diverse and sustainable educational games that support competition and meta-cognition. Inspired by the way Chess and Starcarft II players relfect and review their game-play, Stephen presented a game called CompetitiveSourcery based on the pre-existing CodeSpells platoform. The game requires players to compete by designing "spells" in java and using them against each other. Three users were observed over two months as they prepared as a team for a tournament - this included playing the game but also discussing strategies, bebugging each other's code and updating a team wiki. In general, this was a good example of tapping into both micro and macro involvement for the purposes of learning but I was surprised not to see any mention of Gee's discussion player affinity groups that exist around games (though Gee is mentioned in the paper). Plus, the idea that teachers should consider meta-level activities isn't entirely new (see Paul Pivec's BECTA report for the importance of the meta-game) while encourgaing discussion through having a tournament has been done before (e.g. research on Racing Academy). Also, while Stephen makes claims about the sustainability of this approach, there is always going to be an issue concerning whether all players will actually engage in the meta-level activities to the same extent. I'm not sure how you address that though...

There were several other game related sessions including Max Birk talking about the relationship between controller type and personality and Jeff Huang talking about patterns of game-play and skill in Halo. For both these talks I wanted a bit more detail on the methods so I'm going to have to add them to the pile of post-CHI papers to follow-up. In relation to the former, I was a little confused about the relationship between my "real" self, my "ideal" self and my "game" self as I'm not sure any of these can be static constructs but there may be some interesting differences to explore here (do standard controllers really make gamers more neurotic?). In relation to the latter, an awful lot of logging data was collected but I was a little disappointed that "patterns of gameplay" was more about how long people play for and how often than it was about gameplay strategies (but that's only because I'm more interested in player strategies!). Other highlights included Nicholas Graham discussing a tabletop game where one person plays the game and the other orchestrates the experience in real time i.e. builds levels and obstacles. This reminded me a little of Sleep is Death but Tabula Rasa seemed a bit more light-hearted in it's approach to foster open-ended creativity. Tamara Peyton (see below) then spoke about the alternate reality game I Love Bees and showed how leadership emerged from team-play. Interestingly, the players spontaneously used military terms and take on different roles within the team which she classified as General, Lieutenant and Private. I particularly liked that she emphasised that disjuncture can be as important as flow - essentially we should also be thinking about what it means to fail and how failing isn't necessarily a negative experience.


I also attended the SIG on Games and Entertainment and was pleased to see that there really is quite an active games community at CHI. Katherine Isbister and Regina Bernhaupt led the session but handed over the reigns of the SIG to Magy Seif-El-Nasr and Heather Desurvive. The topics that came up ranged from needing to foster links between industry and academia, introducing further games courses at next year's conference, and discussing other venues for games research. It was clear that while some people were interested in the user experience side and methods for assessing game-play others where interested in using games as research tools e.g. for the purposes of collecting data. Regarding the latter, there was a suggestion that there might be a workshop or course next year with a focus on how you might evaluate this kind of large-scale data but I think that will depend on whether someone volunteers to run it! I enjoyed the session overall and found a good way to see the range of game-related interests across the CHI community.

Ok, I think that's enough for today. There is still plenty more to write but I'm going to have to leave it for another post! For now I'm going to leave you with a pic of Charlene Jennett hugging a bear to make one jump on screen :-)


Tuesday, 21 August 2012

"In The Game? Embodied Subjectivity in Gaming Environments"

It really has been ages since I last used this blog. Good news is I have finished the thesis! Viva passed, minor corrections and the final submission due at the start of Sept :-) I will make sure to post a link to it once the final version has been approved.

The last few months have been stupidly busy - I also started a new job at UCLIC - but I have managed to get some game-playing in. There are some thoughts I'd like to get down about those soon but for now I just wanted to post a video of my friend Rob Farrow presenting a paper we wrote together at the Philosophy and Computer Games conference earlier this year. There's some points he makes about meaning and choice that I'm thinking I'll want to go back to when I write the next post - particularly in relation to Skyrim and Mass Effect 3.

But for now, here's "In The Game'? Embodied Subjectivity in Gaming Environments". Thanks Rob :-)



Thursday, 12 January 2012

Interactive punching bag

Ok, so this isn't directly game related but it could be, depending on what you use the device for. This summer, six 18/19-year-olds built an interactive punching bag as a summer project at the Open University. Think of it as a game interface, with lights, sounds and sensors. If you like it, please feel free to do so on youtube and to share the video as it would be great to give their work some exposure.

Sunday, 4 December 2011

Being more open about my research

As I mentioned in the last post, my recent part-time work where I've been looking at digital scholarship at the OU, has got me thinking about what it might mean to be a scholar in the digital age and how openness can be a part of that. I have touched upon aspects of my research in this blog, but mostly I tend to use it as a way to reflect about my own gaming experiences and as a way to keep track of my thoughts about different events I go to. As I was writing up the post about ECGBL 2011, I realised that I really did want to say more about what I had been doing and this might be quite a useful thing to do, especially as I'm currently writing up my PhD thesis.

So, in terms of what I have done my research, consists of three phases. Phase one included a conceptual overview of different frameworks of engagement and motivation and a set of interviews with a range of different games players (from casual to hardcore). This led to the development of a set of learning categories, which I presented at EARLI this year (extended abstract) where basically I found that people learn through games in three different ways: through play, through others and through external resources; and on three different levels: on a game level, skill level and personal level. The personal level refers to instances such as picking up general knowledge but also in terms of people mentioning things like developing perseverance and viewing game characters as role models - possibly an area that has received the least amount of attention in game studies though this is likely due to the difficulty of assessing it! I also developed a set of themes that relate to a concept Mia Consalvo calls gaming capital (in turn based upon Bourdieu's notions of capital), which players gain not just by being good at games but in terms of being knowledgeable about them. These themes were: competence, knowledge, community and identity. We published a journal article earlier this year, based on work I presented and GBL 2010, which introduces some of these concepts and outlines my position on engagement and motivation in terms of thinking about them as forms of involvement.

Phase two consisted of a set of case studies I carried out where I examined people playing games on a micro and macro level (i.e. analysing instances of play and wider involvement with players and resources). This consisted of eight case studies, again with a mix of players, some who identified as gamers and some who did not. At DiGRA, I presented the methods I adopted (which you can access here) while at ECGBL I focused on analysing game-play through analysing breakdowns and breakthroughs in terms of what they can tell us about learning and involvement in games (which you can find on ORO here). Whilst at ECGBL, I was asked about the use of AAA games within the case studies - I didn't choose to focus on these but the focus on consoles in the lab setup (see picture below) meant I was much less likely to look at more independent games like Braid or low budget games like Farmville. However, some of the observation sessions did involve more casual games like Big Brain Academy and some less familiar titles like Flower (which was produced by an indie developer) and Endless Ocean 2. Plus, I did try and tap into the different types of games people play by asking them to keep a diary of their experiences outside of the lab, though admittedly there is less detailed information about these in terms of considering breakdowns and breakthroughs. I was also asked about the types of players that took part but pointed out I was more interested in tapping into a range of experience by getting older/younger, male/female, casual players/gamers to take part in order to maximise the differences between cases, than in considering whether someone was an "explorer" or not. I probably should have been more explicit about how I was trying to contribute to a general theory of how involvement and learning relate to each other rather than trying to make statistical generalisations about how involvement and learning might differ with respect to player type/motivation and genre. That said, as I'm writing up, I will need to point out that in terms of the observation sessions at least, any claims I will make will relate to games where players control some sort of avatar and navigate through virtual environments (with Big Brain Academy as the only exception).


Another question I got asked at ECGBL was about how I actually identified breakdowns and breakthroughs with respect to action, understanding and involvement. In terms of action, this is pretty simple as strategies were either effective or not, while understanding was also relatively easy as this was something pretty clear from the post-play interviews (though occasionally breakthroughs would be more gradual). I also pointed out that I collected an awful lot of data so I was primarily focused on major issues, rather than a fine grained analysis of everything. However, involvement was definitely harder to identify, especially in terms of breakthroughs as it wasn't always clear exactly when these occurred and sometimes it may have been a much more gradual process. It seemed a lot easier to identify when flow breaks down for instance, than when it is actually happening. During the analysis, I ended up identifying involvement in affective terms i.e. with respect to evidence of negative emotion (where boredom or frustration would indicate a breakdown) and positive emotion (where enjoyment or satisfaction would indicate a breakthrough). On reflection though, I'm not sure the concept of breakthroughs could be applied as easily to involvement. This is something I discuss further in the thesis, while I also consider the relationship between the different types of breakdowns and breakthroughs. Note: I also collected a range of physiological data during the observation sessions - initially in the hopes it would help us identify different types of breaks but it turned out to be less useful than we hoped as it too difficult to interpret under these circumstances (i.e. because we didn't use a controlled experimental set up).

Finally, I was asked about how my work related to education - but since my focus is on learning that occurs when we are involved in games we play outside of formal educational contexts, I can't actually say an awful lot about that. However, I do think that building a better understanding what happens when we play the games that we do can help us design more involving educational games that are able to support effective learning e.g. by suggesting that it is important to avoid situations where progress can occur without being accompanied by understanding breakthroughs. So I think my work will have implications for education but the a more significant contribution will be to the area of informal learning.

One thing I didn't discuss at ECGBL that came out of the analysis of the diaries I asked players to keep (over a three week period), was that there wasn't really a lot of interaction with the wider gaming community. Sure, participants reported talking to other people about games and using various online resources to keep up to date with news and developments; while occasionally, they consulted guides or walkthroughs, but there really wasn't a whole lot going on in terms of people contributing to these sorts of things. Further, it seemed that the participants who identified as gamers were the ones who reported using resources more frequently than the non-gamers. As this was a small set of case studies, this led to us thinking about investigating this sort of thing on a wider scale through the use of a survey; in the final phase of my PhD.

It seemed important to consider this sort of macro level involvement in more detail, and how it might relate to identity and learning, as it links in to a lot of the stuff James Paul Gee discusses when he talks about games and learning; in particular with respect to semiotic domains and affinity groups/spaces. I'm not going to go into the results in detail (as that's a whole chapter's worth of discussion!) but it does seem that players who identify as hardcore are not only likely to interact with wider range of resources but that they also more likely to say they have learnt from their gaming experiences. This is significant, because while Gee talks about the importance of identity in learning, he discusses this is terms of a player reflecting on their personal identity in relationship to their avatar rather than in terms of how they identify as a gamer. We just got a short view points paper accepted by Learning, Media and Technology on the preliminary analysis of the questionnaire, so I'm quite looking forward to writing up the main analysis after I submit.

I'm not sure how coherant that all is and I still need to link everything so I can sum up how involvement and learning come together on a micro and macro level, but it's been interesting trying to sum up what I've been doing over the last few years! Now just need to get on with finishing off the thesis...