The Performance and Preference of Different Fingers and Chords for Pointing,
Dragging, and Object Transformation
Fingers and Technology
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Goguey, Alix
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Nancel, Mathieu
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Casiez, Géry
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Vogel, Daniel
Proceedings of the ACM CHI'16 Conference on Human Factors in Computing
Systems
2016-05-07
v.1
p.4250-4261
© Copyright 2016 ACM
Summary: The development of robust methods to identify which finger is causing each
touch point, called "finger identification," will open up a new input space
where interaction designers can associate system actions to different fingers.
However, relatively little is known about the performance of specific fingers
as single touch points or when used together in a "chord." We present empirical
results for accuracy, throughput, and subjective preference gathered in five
experiments with 48 participants exploring all 10 fingers and 7 two-finger
chords. Based on these results, we develop design guidelines for reasonable
target sizes for specific fingers and two-finger chords, and a relative ranking
of the suitability of fingers and two-finger chords for common multi-touch
tasks. Our work contributes new knowledge regarding specific finger and chord
performance and can inform the design of future interaction techniques and
interfaces utilizing finger identification.
Quantifying Object- and Command-Oriented Interaction
User and Task Modelling
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Goguey, Alix
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Wagner, Julie
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Casiez, Géry
Proceedings of IFIP INTERACT'15: Human-Computer Interaction, Part IV
2015-09-14
v.4
p.231-239
Keywords: Interaction sequence; Task strategy; Metric; Theory; Finger identification;
Finger specific
© Copyright 2015 Springer International Publishing Switzerland
Summary: In spite of previous work showing the importance of understanding users'
strategies when performing tasks, i.e. the order in which users perform actions
on objects using commands, HCI researchers evaluating and comparing interaction
techniques remain mainly focused on performance (e.g. time, error rate). This
can be explained to some extent by the difficulty to characterize such
strategies. We propose metrics to quantify if an interaction technique
introduces a rather object- or command-oriented task strategy, depending if
users favor completing the actions on an object before moving to the next one
or in contrast if they are reluctant to switch between commands. On an
interactive surface, we compared Fixed Palette and Toolglass with two novel
techniques that take advantage of finger identification technology, Fixed
Palette using Finger Identification and Finger Palette. We evaluated our
metrics with previous results on both existing techniques. With the novel
techniques we found that (1) minimizing the required physical movement to
switch tools does not necessarily lead to more object-oriented strategies and
(2) increased cognitive load to access commands can lead to command-oriented
strategies.
Adoiraccourcix: multi-touch command selection using finger identification
Techniques d'interaction: Commandes et Gestes
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Goguey, Alix
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Casiez, Géry
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Pietrzak, Thomas
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Vogel, Daniel
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Roussel, Nicolas
Proceedings of the 2014 Conference of the Association Francophone
d'Interaction Homme-Machine
2014-10-28
p.28-37
© Copyright 2014 ACM
Summary: Hotkeys are a critical factor of performance for expert users in WIMP
interfaces. Multi-touch interfaces, by contrast, do not provide such efficient
command shortcuts. We propose Adoiraccourcix, which leverage finger
identification to introduce quick command invocation integrated with direct
manipulation in this context. After presenting the concept behind, we
illustrated Adoiraccourcix in a vectorial drawing application and ran
preliminary user studies comparing Adoiraccourcix to classical user interfaces.
Results suggest that once mastered, Adoiraccourcix provides very powerful means
of interaction.
A three-step interaction pattern for improving discoverability in finger
identification techniques
Demonstrations
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Goguey, Alix
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Casiez, Géry
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Vogel, Daniel
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Chevalier, Fanny
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Pietrzak, Thomas
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Roussel, Nicolas
Adjunct Proceedings of the 2014 ACM Symposium on User Interface Software and
Technology
2014-10-05
v.2
p.33-34
© Copyright 2014 ACM
Summary: Identifying which fingers are in contact with a multi-touch surface provides
a very large input space that can be leveraged for command selection. However,
the numerous possibilities enabled by such vast space come at the cost of
discoverability. To alleviate this problem, we introduce a three-step
interaction pattern inspired by hotkeys that also supports feed-forward. We
illustrate this interaction with three applications allowing us to explore and
adapt it in different contexts.
