Supporting Mobile Service Usage through Physical Mobile Interaction

Broll, Gregor; Siorpaes, Sven; Rukzio, Enrico; Paolucci, Massimo; Hamard, John; Wagner, Matthias; Schmidt, Albrecht

doi:10.1109/percom.2007.35

Cited by 62 publications

(36 citation statements)

References 6 publications

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“…Multi-tag interfaces (with many NFC tags) represent multiple services related to an object. Broll et al (2007) demonstrate posters augmented with RFID/NFC tags, which provide services such as getting additional information, downloading media content, or ordering movie tickets. Reilly et al (2006) augment a paper map with a number of RFID tags beneath points of interest).…”

Section: Interaction Awarenessmentioning

confidence: 99%

Pervasive Social Computing: augmenting five facets of human intelligence

Zhou

Sun

Athukorala

et al. 2011

J Ambient Intell Human Comput

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Pervasive Social Computing is a novel collective paradigm, derived from pervasive computing, social media, social networking, social signal processing, etc. This paper reviews Pervasive Social Computing as an integrated computing environment, which promises to augment five facets of human intelligence: physical environment awareness, behavior awareness, community awareness, interaction awareness, and content awareness. Reviews of related studies are given, and their generic architectures are designed. The resulting architecture for Pervasive Social Computing is presented. A prototype is developed and examined, in order to investigate the characteristics exhibited by Pervasive Social Computing.

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Section: Interaction Awarenessmentioning

confidence: 99%

Pervasive Social Computing: augmenting five facets of human intelligence

Zhou

Sun

Athukorala

et al. 2011

J Ambient Intell Human Comput

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“…Applications can map features and options to multiple NFC-tags on physical objects that serve as physical UIs and thus complement mobile UIs. Examples are posters for mobile ticketing [2], tagged maps [19] or control panels for multimedia players [22].…”

Section: Related Workmentioning

confidence: 99%

A Revised Mobile KLM for Interaction with Multiple NFC-Tags

Holleis

Scherr

Broll

2011

Human-Computer Interaction – INTERACT 2011

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Abstract. The Keystroke-Level Model (KLM) is a model for predicting the execution time of routine tasks. Initially, it had been devised for standard keyboard-desktop settings but an extension of this model for interactions with mobile phones has been described by Holleis et al. [10]. We propose a considerable update of this KLM focusing on NFC-based applications and interactions which are continuously gaining interest. Insufficiencies within the previous model regarding operators for Pointing, Mental Acts, and System Response Time are treated. We present the results of several studies conducted in order to update the values of these operators. A specific focus is put on the differences between static (NFC tags behind a printed poster or object) and dynamic interfaces (tagged displays or projections). Finally, we validate our results by modeling two applications with the former and the proposed model. The latter performed consistently better when compared with measurements from real user interaction data.

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“…Examples range from mobile interaction with services (e.g. [10], [1]) to new interaction paradigms like Hovering [15] or physical hyperlinks [13].…”

Section: Related Workmentioning

confidence: 99%

Improving the accessibility of NFC/RFID-based mobile interaction through learnability and guidance

Broll

Keck

Holleis

et al. 2009

Proceedings of the 11th International Conference on Human-Computer Interaction With Mobile Devices and Services

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NFC and RFID technologies have found their way into current mobile phones and research has presented a variety of applications using NFC/RFID tags for interaction between physical objects and mobile devices. Since this type of interaction is widely novel for most users, there is a considerable initial inhibition threshold for them. In order to get novice users started with this physical interaction and its applications, we have designed different ways to increase the learnability and guidance of such applications. Their effectiveness was evaluated in a qualitative and quantitative user study with 40 participants, who interacted with NFC-equipped posters in different ways. We report on the types of usage errors observed and show that future designs of NFC/RFID-based mobile applications should consider using a dedicated start-tag for interaction.

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Supporting Mobile Service Usage through Physical Mobile Interaction

Cited by 62 publications

References 6 publications

Pervasive Social Computing: augmenting five facets of human intelligence

Pervasive Social Computing: augmenting five facets of human intelligence

A Revised Mobile KLM for Interaction with Multiple NFC-Tags

Improving the accessibility of NFC/RFID-based mobile interaction through learnability and guidance

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