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Capturing indicative usage models in software for implicit device interaction
The IDInteraction project asks: can we exploit models of human behaviour to move away from direct, unambiguous user commands, towards seamless user-device interaction? It will investigate and develop the techniques to capture 'Indicative Usage Models (IUMs), behavioural patterns or cues that precede a particular activity, and translate these into software-based 'Indicative Usage Patterns' (IUPs), to drive interaction with an app. The project will focus on future television broadcasting, examining the extent to which it is possible to capture IUMs from device sensor and event data, and deploy these as IUPs to pull content (additional information or related activities) to a 'second screen companion app', which a viewer watches on a mobile device alongside a TV programme.
- Aitor Apaolaza, Robert Haines, Amaia Aizpurua, Andy Brown, Michael Evans, Stephen Jolly, Simon Harper, Caroline Jay; ABC: Using Object Tracking to Automate Behavioural Coding. Presented at CHI 2016 in San Jose, CA, USA.
- Download the poster here: ABC: Using Object Tracking to Automate Behavioural Coding.
- Robert Haines and Caroline Jay; Reproducible Research: Citing your execution environment using Docker and a DOI. Blog post published on the Software Sustainability Institute website.
- David Mawdsley, Robert Haines, Caroline Jay; Using Docker and Knitr to Create Reproducible and Extensible Publications. Presented at the Workshop on Containers for Reproducible Research (C4RR) in Cambridge, UK.
- David Mawdsley, Robert Haines, Caroline Jay; Reproducible Research is Research Software Engineering. Presented at RSE 17 in Manchester, UK.