Abstract:

Shape-changing interfaces physically mutate their visual display surface to better represent on-screen content, provide an additional information channel, and facilitate tangible interaction with digital content. The HCI community has recently shown increasing interest in this area, with their physical dynamicity fundamentally changing how we think about displays. This talk will describe our current work supporting the design and prototyping of shape-changing displays: understanding shape-changing application areas through public engagement brainstorming, characterising fundamental touch input actions, creating tools to support design, and demonstrating example implementations. It will end with a look at future challenges and directions for research.

Bio:

Jason is a lecturer in the School of Computing and Communications at Lancaster University. His primary research area is Human-Computer Interaction, with a particular interest in bridging the physical-digital divide using novel physical interaction devices and techniques. He was previously a post-doctoral researcher in the Bristol Interaction and Graphics (BIG) group at the University of Bristol. Before that he was a Ph.D. student in the HCI and Multimedia Lab at the University of Canterbury, New Zealand. More information can be found at http://www.scc.lancs.ac.uk/~jason/

This seminar is part of our ongoing series from researchers in HCI. See here for our current schedule.

Abstract:
In the UK, more than 70% of mobile users now own a smartphone. These increasingly powerful, sensor-rich, and personal devices present an immense opportunity to monitor health-related behaviours and deliver digital behaviour-change interventions at unprecedented scale.

However, designing and building systems to measure and intervene on health behaviours presents a number of challenges. These range from balancing between energy efficiency and data granularity, translating between behavioural theory and design, making long psychological assessments usable for end users, and making sense of the sensor and survey data these apps collect in a multidisciplinary setting.

Approximately 18 months ago, we launched Emotion Sense, a mood-tracking app for Android where we tried to address some of these challenges. To date, the app has been downloaded over 35,000 times and has an active user base of about 2,000 people: in this talk, I will describe how we designed, trialled, and launched Emotion Sense, and the insights we are obtaining about diurnal patterns of activity and happiness that we are finding by mining the 100 million+ accelerometer samples the app has collected to date. I’ll close with future directions of this technology — including a novel smoking cessation intervention (Q Sense), and a generic platform (Easy M) that we have developed to allow researchers to conduct their own studies.

http://emotionsense.org/
http://www.qsense.phpc.cam.ac.uk/
http://www.cl.cam.ac.uk/~nkl25/easym/

Bio:
Neal is a Senior Research Associate in Cambridge University’s Computer Laboratory. His research to date falls somewhere in the intersection of data mining, mobile systems, ubiquitous/pervasive systems, and personalisation/ recommender systems, applied to a variety of contexts where we measure human behaviour by their digital footprints. He has a PhD in Computer Science from University College London. More info/contact http://www.cl.cam.ac.uk/~nkl25/

This seminar is part of our ongoing series from researchers in HCI. See here for our current schedule.