Title
Developing hand-worn input and haptic support for real-world target finding
Abstract
Locating places in cities is typically facilitated by handheld mobile devices, which draw the visual attention of the user on the screen of the device instead of the surroundings. In this research, we aim at strengthening the connection between people and their surroundings through enabling mid-air gestural interaction with real-world landmarks and delivering information through audio to retain users’ visual attention on the scene. Recent research on gesture-based and haptic techniques for such purposes has mainly considered handheld devices that eventually direct users’ attention back to the devices. We contribute a hand-worn, mid-air gestural interaction design with directional vibrotactile guidance for finding points of interest (POIs). Through three design iterations, we address aspects of (1) sensing technologies and the placement of actuators considering users’ instinctive postures, (2) the feasibility of finding and fetching information regarding landmarks without visual feedback, and (3) the benefits of such interaction in a tourist application. In a final evaluation, participants located POIs and fetched information by pointing and following directional guidance, thus realising a vision in which they found and experienced real-world landmarks while keeping their visual attention on the scene. The results show that the interaction technique has comparable performance to a visual baseline, enables high mobility, and facilitates keeping visual attention on the surroundings.
Year
DOI
Venue
2019
10.1007/s00779-018-1180-z
Personal and Ubiquitous Computing
Keywords
Field
DocType
Novel interaction paradigms,Haptic devices,Pointing,Gestural input,Auditory feedback,Ubiquitous and mobile computing design and evaluation,Augmented reality
Interaction technique,Interaction design,Auditory feedback,Computer science,Gesture,Augmented reality,Human–computer interaction,Mobile device,Point of interest,Multimedia,Haptic technology
Journal
Volume
Issue
ISSN
23.0
1
1617-4917
Citations 
PageRank 
References 
0
0.34
29
Authors
7
Name
Order
Citations
PageRank
Yi-Ta Hsieh1313.23
Antti Jylhä21149.79
Valeria Orso36612.23
Salvatore Andolina4657.38
Eve Hoggan573545.59
Luciano Gamberini636849.76
Giulio Jacucci71701126.44