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On physiological computing with an application in interactive art

Authors: Ernest A. Edmonds; Dave Everitt; Michael Macaulay; Greg Turner;

On physiological computing with an application in interactive art

Abstract

The paper presents a discussion on the logic of the necessity for investigation into the area of physiological computing and reviews empirical work by some of the authors. In particular, the paper discusses the reliability of information that can be inferred from certain biological sensor data and ways in which positive benefits can be ensured or measured relating to the use of the feedback that can result from its use. One important and emerging application area for physiological feedback in interactive computing is in interactive art systems. In some respects, this application has been making strong progress for the particular reason that the interactive experience itself, rather than more abstract and problematic information handling, is at the core. Another interesting aspect of the applications in art is that they provide informal experimental investigations into these new forms of human‐computer interaction, and artists are already devising new applications and interfaces for physiological information. The paper describes an art work employing physiological feedback, including a discussion of how it was built and of the participating audience reactions when exhibited. q 2004 Elsevier B.V. All rights reserved.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Top 10%
Top 10%
Average
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