Computer vision in situ

Background: This article shows a visually impaired person (VIP) trying to locate products while shopping using the commercially available computer vision device Orcam. Method: Based on ethnomethodological conversation analysis and perspectives on materiality and agency from a post-praxiological position, the study shows, through detailed analysis of transcribed video excerpts, the observable sense-making practices related to this technology. Results: The study shows the VIP and researcher-participants exploring what the device can and cannot do, and how the local body–object–environment relations need to be organized to make the device scan. The study shows the value of applying a post-praxiological approach to understanding socio-material practices. It also introduces the ‘video-based contextual inquiry’ method as a form of researcher engagement in producing the situation and the data collection. Discussion/conclusion: The article provides two novel contributions: (1) to the field of ethnomethodology and conversation analysis research, with a critical reflection on semi-experimental data collection and the role of the researcher, the materials, and the distribution of agency; and (2) to the field of impairment and disability studies, with insights on locally organized body–object–environment relations and the design of artifacts for computer vision recognition technology.

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Publication Details

Journal
Journal of Interactional Research in Communication Disorders
Published
2024-10-07
DOI
https://doi.org/10.1558/jircd.27885
Primary Topic
Image Processing Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Computer vision in situ

Brian Lystgaard Due
Journal of Interactional Research in Communication Disorders
Image Processing Techniques and Applications
article

Computer vision in situ

Brian Lystgaard Due
article en

Abstract

Background: This article shows a visually impaired person (VIP) trying to locate products while shopping using the commercially available computer vision device Orcam. Method: Based on ethnomethodological conversation analysis and perspectives on materiality and agency from a post-praxiological position, the study shows, through detailed analysis of transcribed video excerpts, the observable sense-making practices related to this technology. Results: The study shows the VIP and researcher-participants exploring what the device can and cannot do, and how the local body–object–environment relations need to be organized to make the device scan. The study shows the value of applying a post-praxiological approach to understanding socio-material practices. It also introduces the ‘video-based contextual inquiry’ method as a form of researcher engagement in producing the situation and the data collection. Discussion/conclusion: The article provides two novel contributions: (1) to the field of ethnomethodology and conversation analysis research, with a critical reflection on semi-experimental data collection and the role of the researcher, the materials, and the distribution of agency; and (2) to the field of impairment and disability studies, with insights on locally organized body–object–environment relations and the design of artifacts for computer vision recognition technology.

Journal of Interactional Research in Communication Disorders
University of Copenhagen (DK)
Quality Education
Openalex Percentile: Top 73%
Image Processing Techniques and Applications
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