Replicating User-defined Gestures for Text Editing

Sukumar, Poorna Talkad; Liu, Anqing; Metoyer, Ronald

doi:10.1145/3279778.3279793

Cited by 10 publications

(5 citation statements)

References 31 publications

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“…While not strictly a qualitative study, a recent study in gesture research involving qualitative data and analysis [17] replicated an elicitation study conducted nearly thirty years ago for devising gestures for text editing on tablet devices. One of its main goals was to compare the gestures obtained from participants (manually coded and grouped) in the replication with those of the earlier studies considering the advancement of technology since then.…”

Section: General Opportunitiesmentioning

confidence: 98%

Replication and Transparency of Qualitative Research from a Constructivist Perspective

TalkadSukumar¹,

Metoyer²

2019

Preprint

Self Cite

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The positivist or conventional notion of replication does not lend itself to qualitative research. However, defining replication in line with the nature of qualitative inquiry and its interpretive strengths can lead to many opportunities including creating multiple discourses of the same phenomenon and comparing the effectiveness of different methods. We define what a replication of a qualitative study can potentially entail and espouse that such replications should, by all means, be attempted. Towards these goals, we also advocate open practices in qualitative research to make more apparent the iterative and emergent processes typical of qualitative studies that are often indiscernible from their published reports.

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Section: General Opportunitiesmentioning

confidence: 98%

Replication and Transparency of Qualitative Research from a Constructivist Perspective

TalkadSukumar¹,

Metoyer²

2019

Preprint

Self Cite

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“…Gestures for surface computing have a long history in HCI, with foundational issues like motor control complexity, visual and auditory feedback, and memorability being well studied [27]. Elicitation studies for gestures, or 'user-defned gestures', are often used to understand how people currently think about surfacing computing while simultaneously aiding in the design of gestures for novel interactions [16,21]. Nacenta et al [11] found that user-defned gestures are easier to remember and that participants prefer them, though in commercial products gestures tend to be pre-defned (though informed by much user testing, and users may have options for customization).…”

Section: Related Work 21 Gesture Elicitation Studiesmentioning

confidence: 99%

“…While studying gestures for surface computing has a long history in human computer interaction [6,21,27], less attention has been paid to gestural interactions for general, stylus-based notetaking activity. Current work tends to focus on specifc applications that are complementary to keyboard-centric digital activities, like handwritten annotations on typed documents [14,16,23,24], or drawing and note-taking as part of data analysis [5,22]. But general purpose, handwritten notes remain a mainstay in our lives, despite all the computing mediums available [13].…”

Section: Introductionmentioning

confidence: 99%

Eliciting Gestures for Novel Note-taking Interactions

Gero

Chilton

Melancon

et al. 2022

Designing Interactive Systems Conference

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Handwriting recognition is improving in leaps and bounds, and this opens up new opportunities for stylus-based interactions. In particular, note-taking applications can become a more intelligent user interface, incorporating new features like autocomplete and integrated search. In this work we ran a gesture elicitation study, asking 21 participants to imagine how they would interact with an imaginary, intelligent note-taking application. Participants were prompted to produce gestures for common actions such as select and delete, as well as less common actions (for gesture interaction) such as autocomplete accept/reject, 'hide', and search. We report agreement on the elicited gestures, fnding that while existing interactions are prevalent (like double taps and long presses) a number of more novel interactions (like dragging selected items to hotspots or using annotations) were also well-represented. We discuss the mental models participants drew on when explaining their gestures and what kind of feedback users might need to move to more stylus-centric interactions.

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“…Gestures for surface computing have a long history in HCI, with foundational issues like motor control complexity, visual and auditory feedback, and memorability being well studied [Zhai et al 2012]. Elicitation studies for gestures, or 'user-defined gestures', are often used to understand how people currently think about surfacing computing while simultaneously aiding in the design of gestures for novel interactions [Talkad Sukumar et al 2018;Wobbrock et al 2009]. [Nacenta et al 2013] found that user-defined gestures are easier to remember and that participants prefer them, though in commercial products gestures tend to be pre-defined (though informed by much user testing, and users may have options for customization).…”

Section: Related Work 21 Gesture Elicitation Studiesmentioning

confidence: 99%

“…While studying gestures for surface computing has a long history in human computer interaction [Liao et al 2005;Wobbrock et al 2009;Zhai et al 2012], less attention has been paid to gestural interactions for general, stylus-based note-taking activity. Current work tends to focus on specific applications that are complementary to keyboard-centric digital activities, like handwritten annotations on typed documents [Romat et al 2019;Talkad Sukumar et al 2018;Yoon et al 2013Yoon et al , 2014, or drawing and note-taking as part of data analysis [Kim et al 2019b;Xia et al 2018]. But general purpose, handwritten notes remain a mainstay in our lives, despite all the computing mediums available [Riche et al 2017].…”

Section: Introductionmentioning

confidence: 99%

Eliciting Gestures for Novel Note-taking Interactions

Gero¹,

Chilton²,

Melancon³

et al. 2021

Preprint

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Handwriting recognition is improving in leaps and bounds, and this opens up new opportunities for stylus-based interactions. In particular, note-taking applications can become a more intelligent user interface, incorporating new features like autocomplete and integrated search. In this work we ran a gesture elicitation study, asking 21 participants to imagine how they would interact with an imaginary, intelligent note-taking application. We report agreement on the elicited gestures, finding that while existing common interactions are prevalent (like double taps and long presses) a number of more novel interactions (like dragging selected items to hotspots or using annotations) were also well-represented. We discuss the mental models participants drew on when explaining their gestures and what kind of feedback users might need to move to more stylus-centric interactions. * Research performed while an intern at Google Research.

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Replicating User-defined Gestures for Text Editing

Cited by 10 publications

References 31 publications

Replication and Transparency of Qualitative Research from a Constructivist Perspective

Replication and Transparency of Qualitative Research from a Constructivist Perspective

Eliciting Gestures for Novel Note-taking Interactions

Eliciting Gestures for Novel Note-taking Interactions

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