PhoneTouch

Schmidt, Dominik; Chehimi, Fadi; Rukzio, Enrico; Gellersen, Hans

doi:10.1145/1866029.1866034

Cited by 76 publications

(13 citation statements)

References 12 publications

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“…Detects phone contact point on diffused-illumination table [293] , detects object using an overhead camera [360] RGB camera…”

Section: Bluetoothmentioning

confidence: 99%

“…Pair, select or engage with device by: → stitching [54,129] → pinching [190,192,238,243] → synchronous tapping [280] → vision-based handshake [360] → pointing [259,349] → finger postures [141] → painting on surfaces [370] Pair, select or engage with device by: → touching the surface [293] → knocking or tapping [103,280] → tapping appliance [372] → taking picture to recognize device [299] → roll-and-pointing [61] → hold-and-flipping [54] → pitching-to-open [54] Pair or engage with device by: → bumping [127] → synchronous gestures [272] → stacking [61] → snapping a picture pair [60] → shaking [131,211] → placing down device [143,270,360] → recognizing motion correlation [359] Pair or engage with device by: → bending [61] → using sandwich structure [61] → stretching [61] Pair or engage with device by: → approaching [12,203] → turning body towards [12,107,205,369] → detecting presence of person [12,30,145,369] → detect groups…”

Section: On-screen | Touch Around Device | Gestures Device Motion 2d mentioning

confidence: 99%

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Cross-Device Taxonomy

Brudy

Holz

Rädle

et al. 2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

185

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Designing interfaces or applications that move beyond the bounds of a single device screen enables new ways to engage with digital content. Research addressing the opportunities and challenges of interactions with multiple devices in concert is of continued focus in HCI research. To inform the future research agenda of this field, we contribute an analysis and taxonomy of a corpus of 510 papers in the crossdevice computing domain. For both new and experienced researchers in the field we provide: an overview, historic trends and unified terminology of cross-device research; discussion of major and under-explored application areas; mapping of enabling technologies; synthesis of key interaction techniques spanning across multiple devices; and review of common evaluation strategies. We close with a discussion of open issues. Our taxonomy aims to create a unified terminology and common understanding for researchers in order to facilitate and stimulate future cross-device research.

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“…Detects phone contact point on diffused-illumination table [293] , detects object using an overhead camera [360] RGB camera…”

Section: Bluetoothmentioning

confidence: 99%

Section: On-screen | Touch Around Device | Gestures Device Motion 2d mentioning

confidence: 99%

Cross-Device Taxonomy

Brudy

Holz

Rädle

et al. 2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

185

View full text Add to dashboard Cite

show abstract

“…However, physiological biometrics are irreversible; once they are forged, they remain stolen for life, and there is no getting back to a secure state [Schneier 1999]. For security, the users must keep their biometrics private.…”

Section: Biometricmentioning

confidence: 99%

A Survey of User Interaction for Spontaneous Device Association

2014

Self Cite

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In a wireless world, users can establish ad hoc virtual connections between devices that are unhampered by cables. This process is known as spontaneous device association. A wide range of interactive protocols and techniques have been demonstrated in both research and practice, predominantly with a focus on security aspects. In this article, we survey spontaneous device association with respect to the user interaction it involves. We use a novel taxonomy to structure the survey with respect to the different conceptual models and types of user action employed for device association. Within this framework, we provide an in-depth survey of existing techniques discussing their individual characteristics, benefits, and issues.

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“…In this setup, the role of a device is often dependent on its distance to the large display. Schmidt et al [SCRG10] use mobile devices in direct contact with a large display's surface for pointing purposes. To synchronize content and control the view of a large display or projection during multi-disciplinary team discussions, Olwal et al [OFGM11] used tablets allowing shared pointing, navigation, and annotation possibilities.…”

Section: Mobile Devices and Spatial Interactionmentioning

confidence: 99%

GraSp: Combining Spatially‐aware Mobile Devices and a Display Wall for Graph Visualization and Interaction

Kister

Klamka

Tominski

et al. 2017

Computer Graphics Forum

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Going beyond established desktop interfaces, researchers have begun re‐thinking visualization approaches to make use of alternative display environments and more natural interaction modalities. In this paper, we investigate how spatially‐aware mobile displays and a large display wall can be coupled to support graph visualization and interaction. For that purpose, we distribute typical visualization views of classic node‐link and matrix representations between displays. The focus of our work lies in novel interaction techniques that enable users to work with personal mobile devices in combination with the wall. We devised and implemented a comprehensive interaction repertoire that supports basic and advanced graph exploration and manipulation tasks, including selection, details‐on‐demand, focus transitions, interactive lenses, and data editing. A qualitative study has been conducted to identify strengths and weaknesses of our techniques. Feedback showed that combining mobile devices and a wall‐sized display is useful for diverse graph‐related tasks. We also gained valuable insights regarding the distribution of visualization views and interactive tools among the combined displays.

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PhoneTouch

Cited by 76 publications

References 12 publications

Cross-Device Taxonomy

Cross-Device Taxonomy

A Survey of User Interaction for Spontaneous Device Association

GraSp: Combining Spatially‐aware Mobile Devices and a Display Wall for Graph Visualization and Interaction

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