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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/18335

Title: Studying the User Experience with a Multimodal Pedestrian Navigation Assistant
Authors: ROVELO RUIZ, Gustavo
Abat, M.C.Juan Francisco
Camahort, Emilio
Issue Date: 2015
Publisher: SciTePress
Citation: Proceedings of the International Conference on Computer Graphics Theory and Applications (GRAPP2015), p. 438-445
Abstract: The widespread usage of mobile devices together with their computational capabilities enables the implementation of novel interaction techniques to improve user performance in traditional mobile applications. Navigation assistance is an important area in the mobile domain, and probably Google Maps is the most popular example. This type of applications is highly demanding for user’s attention, especially in the visual channel. Tactile and auditory feedback have been studied as alternatives to visual feedback for navigation assistance to reduce this dependency. However, there is still room for improvement and more research is needed to understand, for example, how the three feedback modalities complement each other, especially with the appearance of new technology such as smart watches and new displays such as Google Glass. The goal of our work is to study how the user perceives multimodal feedback when their route is augmented with directional cues. Our results show that tactile guidance cues produced the worst user performance, both objectively and subjectively. Participants reported that vibration patterns were hard to decode. However, tactile feedback was a unobtrusive technique to inform participants when to look to the mobile screen or listen to the spoken directions. The results show that combining feedback modalities produces good user performance.
Notes: To appear in Proceedings of the International Conference on Computer Graphics Theory and Applications (GRAPP) 2015, March 11th - 14th, Berlin, Germany http://www.grapp.visigrapp.org/
URI: http://hdl.handle.net/1942/18335
Link to publication: http://www.grapp.visigrapp.org/
DOI: 10.5220/0005297504380445
ISBN: 9789897580871
Category: C1
Type: Proceedings Paper
Validation: vabb, 2018
Appears in Collections: Research publications

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