Auflistung nach Autor:in "Hazas, Mike"
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- KonferenzbeitragExploring (un)sustainable growth of digital technologies in the home(EnviroInfo & ICT4S, Conference Proceedings, 2015) Bates , Oliver; Lord, Carolynne; Knowles, Bran; Friday, Adrian; Clear, Adrian; Hazas, MikeHCI and Ubicomp research often centres around the support of humans interacting with digital technology. Despite this obvious focus, there seems to be less work on understanding how these digital technologies can lead to growth in use, dependence, and influence practices in everyday life. In this paper we discuss how digital technologies have been, and continue to be, adopted in domestic practicesand how the growth of interactions with various ecologies of digital technologies can lead to growth in use and energy consumption. We further the discussion within ICT4S and sustainable HCI on how to promote research that encourages sustainability as a core concernsocially, economically, and ecologicallyemphasizing that defining limits to growth are important when trying to affect change in sustainable directions. We echo calls for more significant sustainability research from HCI, and set out some avenues of design for moving in this direction.
- KonferenzbeitragLocating physical interface objects on interactive surfaces(INFORMATIK 2006 – Informatik für Menschen – Band 2, Beiträge der 36. Jahrestagung der Gesellschaft für Informatik e.V. (GI), 2006) Block, Florian; Gellersen, Hans; Hazas, Mike; Molyneaux, David; Villar, NicolasPin&Play has enabled a new type of surface-based physical user interface, characterised by dynamic arrangement of interface objects on a surface area. Previous work has shown that this affords rapid re-arrangement of the spatial layout of interface objects, for example in adaptation to user preferences, but the Pin&Play system did not support tracking of object locations on the surface. In this paper, we investigate and compare two practical location techniques for interactive surfaces that are based on external sensing: detection of surface events using load sensors, and camera-based detection using object beacons.