Informing the Design of Direct-Touch Tabletops

Shen, Chia; Ryall, Kathy; Forlines, Clifton; Esenther, Alan; Vernier, Frédéric; Everitt, Katherine; Wu, Mike; Wigdor, Daniel; Morris, Meredith Ringel; Hancock, Mark; Tse, Edward

doi:10.1109/mcg.2006.109

Cited by 88 publications

(59 citation statements)

References 14 publications

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“…To support the collaborative aspect of bug triaging, we moved away from traditional point-and-click interfaces and developed our application for a multi-touch tabletop, since studies have shown that these inherently support collaboration [11]. By switching to a multi-touch environment, the application, as well as the bug triaging process itself, become more interactive and therefore might foster the collaboration between its users.…”

Section: Discussion and Future Workmentioning

confidence: 99%

“…Furthermore, to better support the communication and collaboration between developers, we explicitly designed our approach for interactive tabletops that allow multiple people to interact with the information simultaneously. Other research has already shown that interactive tabletops inherently support collaboration (e.g., [11]). …”

Section: Collaborative Bug Triagingmentioning

confidence: 99%

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Collaborative bug triaging using textual similarities and change set analysis

Kevic

Müller

Fritz

et al. 2013

2013 6th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE)

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Bug triaging assigns a bug report, which is also known as a work item, an issue, a task or simply a bug, to the most appropriate software developer for fixing or implementing it. However, this task is tedious, time-consuming and error-prone if not supported by effective means. Current techniques either use information retrieval and machine learning to find the most similar bugs already fixed and recommend expert developers, or they analyze change information stemming from source code to propose expert bug solvers. Neither technique combines textual similarity with change set analysis and thereby exploits the potential of the interlinking between bug reports and change sets. In this paper, we present our approach to identify potential experts by identifying similar bug reports and analyzing the associated change sets. Studies have shown that effective bug triaging is done collaboratively in a meeting, as it requires the coordination of multiple individuals, the understanding of the project context and the understanding of the specific work practices. Therefore, we implemented our approach on a multi-touch table to allow multiple stakeholders to interact simultaneously inthe bug triaging and to foster their collaboration. In the current stage of our experiments we have experienced that the expert recommendations are more specific and useful when the rationale behind the expert selection is also presented to the users. Abstract-Bug triaging assigns a bug report, which is also known as a work item, an issue, a task or simply a bug, to the most appropriate software developer for fixing or implementing it. However, this task is tedious, time-consuming and error-prone if not supported by effective means. Current techniques either use information retrieval and machine learning to find the most similar bugs already fixed and recommend expert developers, or they analyze change information stemming from source code to propose expert bug solvers. Neither technique combines textual similarity with change set analysis and thereby exploits the potential of the interlinking between bug reports and change sets. In this paper, we present our approach to identify potential experts by identifying similar bug reports and analyzing the associated change sets. Studies have shown that effective bug triaging is done collaboratively in a meeting, as it requires the coordination of multiple individuals, the understanding of the project context and the understanding of the specific work practices. Therefore, we implemented our approach on a multi-touch table to allow multiple stakeholders to interact simultaneously in the bug triaging and to foster their collaboration. In the current stage of our experiments we have experienced that the expert recommendations are more specific and useful when the rationale behind the expert selection is also presented to the users.

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Section: Discussion and Future Workmentioning

confidence: 99%

Section: Collaborative Bug Triagingmentioning

confidence: 99%

Collaborative bug triaging using textual similarities and change set analysis

Kevic

Müller

Fritz

et al. 2013

2013 6th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE)

View full text Add to dashboard Cite

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“…2. Interacción con objetos tangibles: proveer al estudiante de instrumentos que sean más naturales de utilizar ya que conducen a una menor carga cognitiva (Shen, 2006). 3.…”

Section: Trabajos Relacionadosunclassified

Implementación de un sistema multi-táctil en ambientes educativos para promover y facilitar la evaluación del trabajo colaborativo en el aula

Quiñonez

Luzardo

Granda

2016

RISTI

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“…Command menus and tool palettes present challenges with respect to orientation, reachability, and clutter [35] which can addressed by moving such interface elements from the surface to a mobile.…”

Section: Cross-device Interaction Techniquesmentioning

confidence: 99%

A cross-device interaction style for mobiles and surfaces

Schmidt

Seifert

Rukzio

et al. 2012

Proceedings of the Designing Interactive Systems Conference

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Natural forms of interaction have evolved for personal devices that we carry with us (mobiles) as well as for shared interactive displays around us (surfaces) but interaction across the two remains cumbersome in practice. We propose a novel crossdevice interaction style for mobiles and surfaces that uses the mobile for tangible input on the surface in a stylus-like fashion. Building on the direct manipulation that we can perform on either device, it facilitates fluid and seamless interaction spanning across device boundaries. We provide a characterization of the combined interaction style in terms of input, output, and contextual attributes, and demonstrate its versatility by implementation of a range of novel interaction techniques for mobile devices on interactive surfaces.

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Informing the Design of Direct-Touch Tabletops

Cited by 88 publications

References 14 publications

Collaborative bug triaging using textual similarities and change set analysis

Collaborative bug triaging using textual similarities and change set analysis

Implementación de un sistema multi-táctil en ambientes educativos para promover y facilitar la evaluación del trabajo colaborativo en el aula

A cross-device interaction style for mobiles and surfaces

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