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User-defined SUIs: an exploratory study

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Marion WolffAuthors Info & Claims

SUI '13: Proceedings of the 1st symposium on Spatial user interaction

Page 81

https://doi.org/10.1145/2491367.2491397

Published: 20 July 2013 Publication History

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Abstract

In this poster we present an exploratory bottom-up experiment to assess the user's choices in terms of bodily interactions when facing a set of tasks. 29 subjects were asked to perform basic tasks on a large screen TV in three positions: standing, sitting, and lying on a couch, without any guidance on how to perform them. As such, we obtained spontaneous interaction propositions for each task. Subjects were then interviewed on their choices, and their internal representation of information and its dynamics. A statistical analysis highlighted the preferred interactions in each position.

References

[1]

Bianchi-Berthouze, N. (2011). Understanding the role of body movement in player engagement (Research Report). UCLIC, University College London

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[2]

Daniel, T. (2008). Les usagers des bornes interactives en lieux publics, 1988--2008 �volutions des usages (Rapport de recherche 5, Juin 2008). MORSOUIN

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[3]

Groenegress, C. (2010). Whole-body interaction for the enhancement of presence in virtual environments (Rapport de recherche, 8 Avril 2010). EVENT Lab.

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Index Terms

User-defined SUIs: an exploratory study
1. Human-centered computing
  1. Human computer interaction (HCI)

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Information

Published In

SUI '13: Proceedings of the 1st symposium on Spatial user interaction

July 2013

108 pages

ISBN:9781450321419

DOI:10.1145/2491367

General Chair:
Evan Suma
USC Institute for Creative Technologies USA
,
Program Chairs:
Wolfgang Stuerzlinger
York University, Canada
,
Frank Steinicke
University of W�rzburg, Germany

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 July 2013

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Poster

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SUI '13

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SUI '13: Symposium on Spatial User Interaction

July 20 - 21, 2013

California, Los Angeles, USA

Acceptance Rates

SUI '13 Paper Acceptance Rate 12 of 31 submissions, 39%;

Overall Acceptance Rate 86 of 279 submissions, 31%

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Best practices for Graphical User Interfaces design with interaction based on head movements

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