Two weeks ago I spent a week in northern Finland at Oulu University for a workshop (UBISS summer school) on Humanistic HCI, lead by Jeffrey and Shaowen Bardzell from Indiana University. The workshop was structure around a curated reading list that included a book on Humanistic HCI, and covered aesthetic experiences, emancipatory approaches, and critical-interpretative methodologies applied towards HCI. In addition to reading seminars, we also carried out small group projects during which we applied humanistic epistemologies to shared research domains. It was an incredible (and exhausting!) experience, both this particular workshop I participated in and the summer school as a whole!
Loved being a part of the Advanced Project Course in Interaction Design with Jarmo, a colleague at KTH! In this new course that took place this past fall (2017), students carried out a small research project in close collaboration with KTH researchers. In addition to assisting with course admin and examination, I also supervised a group of three students working on a pee-ometer – a device that predicts when someone has to pee – for my research on implicit interactions and machine learning as a design material. Looking forward to running the course again this coming fall!
Last week I presented my paper Design Methods to Investigate User Experiences of Artificial Intelligence at the 2018 AAAI Spring Symposium on the User Experiences of Artificial Intelligence. The picture above was taken by a Google Clips camera, which was also one of the presented papers. Below are my slides, which contain supplementary images to my paper on the three design methods I have engaged with relative to the UX of AI. Another blog post will soon follow with reflections on other papers presented.
In this position paper, we describe an initial research activity, a short walk in the woods, to position our interest in HCI and the outdoors. We present three preliminary reflections from our hike on relationships with gear and infrastructure that enable meaningful outdoor experiences. These include parallels between packing gear and preparing devices, contrasting notions within bodily comfort and brand allegiance, and safety bubbles enabled by actual or expected infrastructures.
Design Methods to Investigate User Experiences of Artificial Intelligence
This paper engages with the challenges of designing ‘implicit interaction’, systems (or system features) in which actions are not actively guided or chosen by users but instead come from inference driven system activity. We discuss the difficulty of designing for such systems and outline three Research through Design approaches we have engaged with – first, creating a design workbook for implicit interaction, second, a workshop on designing with data that subverted the usual relationship with data, and lastly, an exploration of how a computer science notion, ‘leaky abstraction’, could be in turn misinterpreted to imagine new system uses and activities. Together these design activities outline some inventive new ways of designing User Experiences of Artificial Intelligence.