Exploring At-Your-Side Gestural Interaction for Ubiquitous Environments

Siddhpuria, Shaishav; Katsuragawa, Keiko; Wallace, James; Lank, Edward

Document type :

Communication dans un congrès avec actes

DOI :

10.1145/3064663.3064695

Title :

Exploring At-Your-Side Gestural Interaction for Ubiquitous Environments

Author(s) :

Siddhpuria, Shaishav [Auteur]
University of Waterloo [Waterloo]
Katsuragawa, Keiko [Auteur]
University of Waterloo [Waterloo]
Wallace, James [Auteur]
University of Waterloo [Waterloo]
Lank, Edward [Auteur]
Computing tools to empower users [MJOLNIR]
University of Waterloo [Waterloo]

Conference title :

DIS 2017 - ACM Conference on Designing Interactive Systems

City :

Edinburgh

Country :

Royaume-Uni

Start date of the conference :

2017-06-10

Journal title :

DIS '17 Proceedings of the 2017 Conference on Designing Interactive Systems

Publisher :

ACM

English keyword(s) :

Smartwatch
Gestures
Ubiquitous Computing
Large Displays

HAL domain(s) :

Informatique [cs]/Interface homme-machine [cs.HC]

English abstract : [en]

Free-space gestural systems are faced with two major issues: a lack of subtlety due to explicit mid-air arm movements, and the highly effortful nature of such interactions. With an ever-growing ubiquity of interactive ...
Show more >Free-space gestural systems are faced with two major issues: a lack of subtlety due to explicit mid-air arm movements, and the highly effortful nature of such interactions. With an ever-growing ubiquity of interactive devices, displays, and appliances with non-standard interfaces, lower-effort and more socially acceptable interaction paradigms are essential. To address these issues, we explore at-one's-side gestural input. Within this space, we present the results of two studies that investigate the use of side-gesture input for interaction. First, we investigate end-user preference through a gesture elicitation study, present a gesture set, and validate the need for dynamic, diverse, and variable-length gestures. We then explore the feasibility of designing such a gesture recognition system, dubbed WatchTrace, which supports alphanumeric gestures of up to length three with an average accuracy of up to 82%, providing a rich, dynamic, and feasible gestural vocabulary.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL

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