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Improving the User Engagement in Large Display Using Distance-Driven Adaptive Interface

Li, Andol X. (author)
Lou, Xiaolong (author)
Hansen, Preben (author)
Stockholms universitet,Institutionen för data- och systemvetenskap
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Peng, Ren (author)
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 (creator_code:org_t)
2015-07-01
2016
English.
In: Interacting with computers. - : Oxford University Press (OUP). - 0953-5438 .- 1873-7951. ; 28:4, s. 462-478
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Current large display-based user interfaces are mainly derived from normal-sized desktop screens and the extra-large size causes difficulties in information navigation and perception. Therefore, user engagement in large display-based information interaction is relatively low. In order to address the user engagement issue, in this paper we propose the distance-driven adaptive interface, which specialises in performing navigation tasks within large displays. We conducted an initial exploratory study with 30 participants to examine how the distance correlated with interaction performances in large displays. Given the findings we conducted an experimental study with an additional 31 participants to further investigate how the distance-driven interface satisfies users' distance requirements and improves user engagement within six dimensions. The results show that the distance-driven interface offered a statistically significant user engagement improvement in terms of novelty, felt involvement, focused attention and endurability. Importantly, linear correlations between the distance, interaction efficiency and accuracy were identified-in that efficiency increased and accuracy decreased with increasing distance.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
SAMHÄLLSVETENSKAP  -- Psykologi (hsv//swe)
SOCIAL SCIENCES  -- Psychology (hsv//eng)

Keyword

user engagement
user display distance
distance-driven interface
adaptive interface

Publication and Content Type

ref (subject category)
art (subject category)

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Li, Andol X.
Lou, Xiaolong
Hansen, Preben
Peng, Ren
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NATURAL SCIENCES
NATURAL SCIENCES
and Computer and Inf ...
and Computer Science ...
SOCIAL SCIENCES
SOCIAL SCIENCES
and Psychology
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Interacting with ...
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Stockholm University

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