ACM MobileHCI 2013 - Playing it Real Again: A Repeated Evaluation of Magic Lens and Static Peephole...
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Playing it Real Again: A Repeated Evaluation of Magic Lens and Static
Peephole Interfaces in Public Space
Jens Grubert, Dieter Schmalstieg
Institute for Computer Graphics and Vision, Graz University of Technology
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(How) do individuals use a Magic Lens interface in public space if they can use an established interface?
switchable
Interfaces can be switched at any time.
Magic Lens (ML) Static Peephole (SP)
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Research Questions
Confirmatory Which interface would be used longer?
Which interface participants would prefer?
Exploratory (How) does the setting influence the usage?
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Design of Experiment
Between-subjects design
Factor: location PUV: public space
(transit area, Vienna), n=10
PUG: public space (transit area, Graz), n=8
LAB: laboratory, n=8
Dependent variables Usage duration
Preference
PUV
PUG LAB
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Findings Confirmatory
Which interface would be used longer?
ML was used significantly less compared to both PUG and LAB
(Kruskal-Wallis p < .001, post-hoc pairwise Mann-Whitney U)
PUV PUG LAB44% 76% 68%
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Findings Confirmatory
Which interface participants would prefer?
“I enjoyed using the ML view in the environment”
ML was enjoyed significantly less compared to PUG
(Kruskal-Wallis p < .001, post-hoc pairwise Mann-Whitney U)
PUV PUG LAB3.5 5 4
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Why those differences?
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Spatial and Social Context: PUV
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Spatial and Social Context: PUG
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A closer look at the spatial and social settings
PUV: Mainly waiting area
Perceived social distance
Passers-by partly in peripheral view of partic.
PUG: Mainly transit area
Central square under CCTV
Passers-by behind partic.
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PUV
241 passers-by
More and longer intrusions into social and personal space
PUV: 50%
PUG
691 passers-by
Very few, short interactions
no interaction glimpses stay + watch > 5 sec
22% 8%
PUG: 68% 30% 2%
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PUV: 15%
Intrusion of social space Intrusion of personal space
5%
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Summary
Repeated study on usage of ML and SP in public spaces
Sign. differences in usage time and preference
Potential causes: spatial and social setting
However, many potential confounding factors: personality, demand characteristics, intrinsic motivation
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Future Work
Increase ecological validity of results by Promoting intrinsic motivation to use the interfaces
(real users with real needs)
Decreasing awareness of study setting Remote evaluations
Body-worn sensors
Increase external validity of results by Re-running study
Narrow down potential confounding factors More measurements: personality tests (BFI), demand characteristics
(PARH)