Visual Conversational Interfaces to Empower Low-Literacy Users - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2013

Visual Conversational Interfaces to Empower Low-Literacy Users

Sheetal K. Agarwal
  • Fonction : Auteur
  • PersonId : 1005548
Jyoti Grover
  • Fonction : Auteur
  • PersonId : 1005549
Arun Kumar
  • Fonction : Auteur
  • PersonId : 1005551
Monia Puri
  • Fonction : Auteur
  • PersonId : 1006542
Meghna Singh
  • Fonction : Auteur
  • PersonId : 1006543

Résumé

Mobile phones have come a long way from being plain voice calling devices to becoming multipurpose handy tools powered by ever increasing new applications available on-the-go. For many, the mobile phone of today has become the essential device one does not leave home without. However, for a large percentage of human population mobile phone apps are not of much use as they are not literate or IT savvy enough to be able to benefit from them. Recent advances in voice-based telecom information systems enable underprivileged and low-literacy users to access and offer online services without requiring expensive devices or specialized technical knowledge. However, voice applications are limited in their capability due to their time consuming nature. In this paper, we demonstrate an interaction modality that combines the power of voice communication with graphical interfaces in smartphones to break the barrier of illiteracy.
Fichier principal
Vignette du fichier
978-3-642-40498-6_67_Chapter.pdf (638.95 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01510535 , version 1 (19-04-2017)

Licence

Paternité

Identifiants

Citer

Sheetal K. Agarwal, Jyoti Grover, Arun Kumar, Monia Puri, Meghna Singh, et al.. Visual Conversational Interfaces to Empower Low-Literacy Users. 14th International Conference on Human-Computer Interaction (INTERACT), Sep 2013, Cape Town, South Africa. pp.729-736, ⟨10.1007/978-3-642-40498-6_67⟩. ⟨hal-01510535⟩
239 Consultations
102 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More