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April 13, 2007
Lit Review - Attention Meter
This paper not only describes the importance of context-aware computing, but also provides a toolkit that could be integrated into future iterations of prospero.
Attention Meter: A Vision-based Input Toolkit for Interaction
Designers (Lee, Jang et al. 2006)This paper describes using computer vision to determine the attention level of users. In particular, this paper describes the Attention Toolkit, a computer vision toolkit that allows developers to use video processing to determine how many people are looking at the camera, how close these people are to the camera, and can also calculate user attention scores based on head and eye movements. The demonstrated two example applications, where digital content reacted to reacted based on how many people were paying attention to it: Scream Market and TaiKer-KTV. The authors present a nominal evaluation of how easy it was for developers to use their tool to prototype “attention aware” applications. This paper, like many of the other papers we discussed presents an interesting system, which can serve as a starting point for future work. For example, as we develop future public displays, one can imagine the importance of making the display aware of it’s context, for example, is it a public display for one user, or a display for 10?
Lee, C.-H. J., C.-Y. I. Jang, et al. (2006). Attention meter: a vision-based input toolkit for interaction designers. CHI '06 extended abstracts on Human factors in computing systems. Montreal, Quebec, Canada, ACM Press.
Posted by bcx at April 13, 2007 02:11 AM