Article

Scan and tilt: towards natural interaction for mobile museum guides

Authors:

Jani Mantyjarvi,

Fabio Paternò,

Zigor Salvador,

Carmen SantoroAuthors Info & Claims

MobileHCI '06: Proceedings of the 8th conference on Human-computer interaction with mobile devices and services

Pages 191 - 194

https://doi.org/10.1145/1152215.1152256

Published: 12 September 2006 Publication History

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Abstract

This paper presents a new interaction technique - scan and tilt - aiming to enable a more natural interaction with mobile museum guides. Our work combines multiple modalities - gestures, physical selection, location, graphical and voice. In particular, physical selection is obtained by scanning RFID tags associated with the artworks, and tilt gestures are used to control and navigate the user interface and multimedia information. We report on how it has been applied to a mobile museum guide in order to enhance the user experience, providing details on a first user test carried out on our prototype.

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Rahman AMomeni MBraton C(2024)Towards Programmable Context Aware Interaction with Smart Home Internet of ThingsIntelligent Systems and Applications10.1007/978-3-031-47715-7_45(663-681)Online publication date: 30-Jan-2024
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Collier AHagemann STrinidad SVigil-Hayes M(2023)Human-to-Computer Interactivity Features Incorporated Into Behavioral Health mHealth Apps: Systematic SearchJMIR Formative Research10.2196/449267(e44926)Online publication date: 30-Jun-2023
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Index Terms

Scan and tilt: towards natural interaction for mobile museum guides
1. Human-centered computing

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Published In

MobileHCI '06: Proceedings of the 8th conference on Human-computer interaction with mobile devices and services

September 2006

320 pages

ISBN:1595933905

DOI:10.1145/1152215

General Chairs:
Marko Nieminen
Helsinki University of Technology, Finland
,
Mika Röykkee
Nokia Research Center, Finland

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 September 2006

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MobileHCI06

MobileHCI06: Human-Computer Interaction with Mobile Devices and Services

September 12 - 15, 2006

Helsinki, Finland

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Overall Acceptance Rate 202 of 906 submissions, 22%

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Rahman AMomeni MBraton C(2024)Towards Programmable Context Aware Interaction with Smart Home Internet of ThingsIntelligent Systems and Applications10.1007/978-3-031-47715-7_45(663-681)Online publication date: 30-Jan-2024
https://doi.org/10.1007/978-3-031-47715-7_45
Collier AHagemann STrinidad SVigil-Hayes M(2023)Human-to-Computer Interactivity Features Incorporated Into Behavioral Health mHealth Apps: Systematic SearchJMIR Formative Research10.2196/449267(e44926)Online publication date: 30-Jun-2023
https://doi.org/10.2196/44926
Sernani PVagni SFalcionelli NMekuria DTomassini SDragoni A(2020)Voice Interaction with Artworks via Indoor Localization: A Vocal MuseumAugmented Reality, Virtual Reality, and Computer Graphics10.1007/978-3-030-58468-9_5(66-78)Online publication date: 31-Aug-2020
https://doi.org/10.1007/978-3-030-58468-9_5
Inal YWake JGuribye FNordgreen T(2019)Usability Evaluations of Mobile Mental Health Technologies: A Systematic Review Study (Preprint)Journal of Medical Internet Research10.2196/15337Online publication date: 2-Jul-2019
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