Using Fitts' Law to Compare Sonification Guidance Methods for Target Reaching Without Vision - Université Grenoble Alpes Accéder directement au contenu
Communication Dans Un Congrès Année : 2024

Using Fitts' Law to Compare Sonification Guidance Methods for Target Reaching Without Vision

Résumé

Visually impaired people often face challenges in spatial interaction tasks. Sensory Substitution Devices assist them in reaching targets by conveying spatial deviations to the target through sound. Typically, sound guidance systems are evaluated by target reaching times. However, reaching times are influenced by target size and user-target distance, which varies across studies. We propose to explore the potential of Fitts’ law for evaluating such systems. In a preliminary experiment, visually impaired and sighted participants used non-spatialized sonification to reach 3D virtual targets. Movement times were correlated with the Index of Difficulty, confirming that Fitts’ law is a valuable model to evaluate target-reaching in 3D non-visual interfaces, even with non-spatialized sonification as feedback. In a second experiment, we compared two non-spatialized sonifi-cations, one dissociating the height and azimuthal direction of the target, and the other combining them into a single 3D angle. Fitts law did allow the comparison of performance in favor of the first sonification. The potential of using Fitts’ law to compare performances across studies using different experimental settings deserves exploration in future research. We encourage researchers to provide the full linear regression equations obtained when using Fitts’ law, to facilitate standardized performance comparisons across studies.
Fichier principal
Vignette du fichier
HUCAPP_2024__Camera_ready.pdf (466.6 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04492351 , version 1 (06-03-2024)

Identifiants

Citer

Coline Fons, Sylvain Huet, Denis Pellerin, Christian Graff. Using Fitts' Law to Compare Sonification Guidance Methods for Target Reaching Without Vision. VISIGRAPP 2024 - 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - HUCAPP, Feb 2024, Rome, Italy. pp.444-454, ⟨10.5220/0012346400003660⟩. ⟨hal-04492351⟩
20 Consultations
16 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More