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Multiple Data Stream Measurement of UX in a Work Context

Authors: Yadav, Mohit; Clemmensen, Torkil;

Multiple Data Stream Measurement of UX in a Work Context

Abstract

In this paper we discuss the emergence of a redefined human work interaction design environment due to Internet of Things. The change in paradigm challenges designers to re-think the category of the user/worker to include their trusted IT devices/cognitive objects while designing for work environment. We present a theoretical proposition to understand the new user (as body, brain + cognitive object), and suggest an approach to capture the UX of the smart workplace. We present and discuss a pilot experiIment where we integrate multiple (physiological, behavioral, environmental and IT processes) data-streams of UX in a work setting. This may give a holistic view of UX in the smart workplace.

Country
Denmark
Related Organizations
Keywords

UX i Context, Affective Computing, Internet of Things, Cognitive Objects, Extended Mind

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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!
0
Average
Average
Average
Green