Design Recommendations Based on Speech Analysis for Disability-Friendly Interfaces for the Control of a Home Automation Environment - IUT Blagnac Accéder directement au contenu
Communication Dans Un Congrès Année : 2023

Design Recommendations Based on Speech Analysis for Disability-Friendly Interfaces for the Control of a Home Automation Environment

Résumé

The objective of this paper is to describe the study on speech interaction mode for home automation control of equipment by impaired people for an inclusive housing. The study is related to the HIP HOPE project concerning a building of 19 inclusive housing units. 7 participants with different types of disabilities were invited to carry out use cases using voice and touch control. Only the results obtained on the voice interaction mode through the Amazon voice assistant are reported here. The results show, according to the type of handicap, the success rates in the speech recognition of the command emitted on the equipment and highlight the errors related to the formulation, the noisy environment, the intelligible speech, the speech segmentation and the bad synchronization of the audio channel opening.
Fichier principal
Vignette du fichier
HIP_HOPE_24_02_2023_Depot_final.pdf (700.94 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
licence : Domaine public

Dates et versions

hal-04298985 , version 1 (21-11-2023)

Identifiants

Citer

Nadine Vigouroux, Frédéric Vella, Gaëlle Lepage, Eric Campo. Design Recommendations Based on Speech Analysis for Disability-Friendly Interfaces for the Control of a Home Automation Environment. 17th International conference on Universal Access in Human-Computer Interaction (UAHCI 2023), Jul 2023, Copenhagen (Virtual), Denmark. pp.197-211, ⟨10.1007/978-3-031-35681-0_13⟩. ⟨hal-04298985⟩
56 Consultations
13 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More