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Audio AR to support nature connectedness in people with visual disabilities

Bandukda, M; Holloway, C; (2020) Audio AR to support nature connectedness in people with visual disabilities. In: Tentori, M and Weibel, N and Van Laerhoven, K and Abowd, G and Salim, F, (eds.) UbiComp-ISWC '20: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers. (pp. pp. 204-207). Association for Computing Machinery (ACM): New York, NY, USA. Green open access

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Abstract

Nature and outdoor open spaces are good for our mental and physical health; providing space for exercise, relaxation, socializing and exploring nature. Technology plays an important role in how people explore the outdoors, however, despite the prevalence of mobile technologies that promote outdoor mobility, they are often not accessible to people with disabilities. This PhD project explores technologies to promote nature connectedness in blind and partially sighted people. We have conducted formative studies exploring the needs of blind and partially sighted people and barriers that limit their experiences. The next phase of my research will focus on designing auditory augmented reality systems to augment the natural elements in open spaces which are presented to the user in real-time as they navigate the space. We aim to design, implement, and evaluate pervasive auditory augmented reality systems that enhance people's immersive experience and engagement with nature.

Type: Proceedings paper
Title: Audio AR to support nature connectedness in people with visual disabilities
Event: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers (UbiComp-ISWC '20)
ISBN-13: 9781450380768
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3410530.3414332
Publisher version: https://doi.org/10.1145/3410530.3414332
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10117143
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