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Modeling distal pointing on large screens : the influence of target depth Janzen, Izabelle
Abstract
Pointing is a fundamental task within many interactions in current computer applications. It is incorporated into everything from selecting buttons to dragging files or positioning objects in a virtual environment. Thus, understanding, modeling and predicting pointing performance is crucial to the design and evaluation of many computer interfaces. Fitts’s Law (1954) is the basis for modeling human pointing performance in the international standard on pointing device evaluation (ISO 9241-400:2007). However, while it is extremely robust for many standard desktop applications, previous work by Shoemaker et al. (2012) has suggested that Fitts’s Law may not be robust enough to accurately model pointing at more extreme levels of gain and has proposed alternatives to Fitts’s Law based on earlier work by Welford (1968). This thesis extends preliminary research by Rajendran (2012) that further examined these alternatives to Fitts’s Law for distal pointing. Distal pointing is common in virtual and augmented reality interfaces. We first re¨analyze results reported by Rajendran using a variety of Welford-style models to explore the relationship between target depth and a parameter k that was first suggested by Kopper et al. (2010) but is inherent inWelford’s model. We then present a new experiment that removes the confound of system latency from Rajendran’s approach. Our analyses provide evidence that k varies monotonically (possibly linearly) with target depth, which further supports the claim by Shoemaker et al. that Welford-style two-part models are preferable to Fitts-style one-part models in some situations. Our analyses also challenge Kopper et al.’s suggestion that angular measures of task difficulty are superior to linear measures for pointing models. We close with a discussion of how our findings about the variation of k with target depth might be used in calibration procedures for virtual environments.
Item Metadata
Title |
Modeling distal pointing on large screens : the influence of target depth
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Creator | |
Publisher |
University of British Columbia
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Date Issued |
2016
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Description |
Pointing is a fundamental task within many interactions in current computer applications.
It is incorporated into everything from selecting buttons to dragging
files or positioning objects in a virtual environment. Thus, understanding, modeling
and predicting pointing performance is crucial to the design and evaluation
of many computer interfaces. Fitts’s Law (1954) is the basis for modeling human
pointing performance in the international standard on pointing device evaluation
(ISO 9241-400:2007). However, while it is extremely robust for many standard
desktop applications, previous work by Shoemaker et al. (2012) has suggested that
Fitts’s Law may not be robust enough to accurately model pointing at more extreme
levels of gain and has proposed alternatives to Fitts’s Law based on earlier
work by Welford (1968). This thesis extends preliminary research by Rajendran
(2012) that further examined these alternatives to Fitts’s Law for distal pointing.
Distal pointing is common in virtual and augmented reality interfaces. We first
re¨analyze results reported by Rajendran using a variety of Welford-style models to
explore the relationship between target depth and a parameter k that was first suggested
by Kopper et al. (2010) but is inherent inWelford’s model. We then present
a new experiment that removes the confound of system latency from Rajendran’s
approach. Our analyses provide evidence that k varies monotonically (possibly
linearly) with target depth, which further supports the claim by Shoemaker et al.
that Welford-style two-part models are preferable to Fitts-style one-part models in
some situations. Our analyses also challenge Kopper et al.’s suggestion that angular
measures of task difficulty are superior to linear measures for pointing models.
We close with a discussion of how our findings about the variation of k with target
depth might be used in calibration procedures for virtual environments.
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Genre | |
Type | |
Language |
eng
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Date Available |
2016-09-02
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0314096
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URI | |
Degree | |
Program | |
Affiliation | |
Degree Grantor |
University of British Columbia
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Graduation Date |
2016-11
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Campus | |
Scholarly Level |
Graduate
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Rights URI | |
Aggregated Source Repository |
DSpace
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Rights
Attribution-NonCommercial-NoDerivatives 4.0 International