Back to Search Start Over

A Social-Aware Assistant to support individuals with visual impairments during social interaction: A systematic requirements analysis.

Authors :
Meza-de-Luna, María Elena
Terven, Juan R.
Raducanu, Bogdan
Salas, Joaquín
Source :
International Journal of Human-Computer Studies. Feb2019, Vol. 122, p50-60. 11p.
Publication Year :
2019

Abstract

Highlights • A socially-aware assistant, consisting of both perceptive and feedback components. • Our approach is based on a wearable platform. • Our system has been tested with visually impaired people. Abstract Visual impairment affects the normal course of activities in everyday life including mobility, education, employment, and social interaction. Most of the existing technical solutions devoted to empowering the visually impaired people are in the areas of navigation (obstacle avoidance), access to printed information and object recognition. Less effort has been dedicated so far in developing solutions to support social interactions. In this paper, we introduce a Social-Aware Assistant (SAA) that provides visually impaired people with cues to enhance their face-to-face conversations. The system consists of a perceptive component (represented by smartglasses with an embedded video camera) and a feedback component (represented by a haptic belt). When the vision system detects a head nodding, the belt vibrates, thus suggesting the user to replicate (mirror) the gesture. In our experiments, sighted persons interacted with blind people wearing the SAA. We instructed the former to mirror the noddings according to the vibratory signal, while the latter interacted naturally. After the face-to-face conversation, the participants had an interview to express their experience regarding the use of this new technological assistant. With the data collected during the experiment, we have assessed quantitatively and qualitatively the device usefulness and user satisfaction. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10715819
Volume :
122
Database :
Academic Search Index
Journal :
International Journal of Human-Computer Studies
Publication Type :
Academic Journal
Accession number :
133045441
Full Text :
https://doi.org/10.1016/j.ijhcs.2018.08.007