Social Acceptability in HCI: A Survey of Methods, Measures, and Design Strategies-Reference-Cited by-同舟云学术

Social Acceptability in HCI: A Survey of Methods, Measures, and Design Strategies

Published:2020-04-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
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Author:

Koelle Marion¹,Ananthanarayan Swamy²,Boll Susanne²

Affiliation:

1. University of Oldenburg & Saarland University, Saarland Informatics Campus, Oldenburg & Saarbrücken, Germany

2. University of Oldenburg, Oldenburg, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3313831.3376162

Reference136 articles.

1. Up to a Limit?: Privacy Concerns of Bystanders and Their Willingness to Share Additional Information with Visually Impaired Users of Assistive Technologies;Ahmed Tousif;PROC ACM IMWUT,2018

2. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI'18). ACM, NY;Alallah Fouad;NY,2018

3. Rawan Alharbi Tammy Stump Nilofar Vafaie Angela Pfammatter Bonnie Spring and Nabil Alshurafa. 2018. I Can't Be Myself: Effects of Wearable Cameras on the Capture of Authentic Behavior in the Wild. PROC ACM IMWUT 2(3) 90:1--90:40. DOI: http://dx.doi.org/10.1145/3264900. Rawan Alharbi Tammy Stump Nilofar Vafaie Angela Pfammatter Bonnie Spring and Nabil Alshurafa. 2018. I Can't Be Myself: Effects of Wearable Cameras on the Capture of Authentic Behavior in the Wild. PROC ACM IMWUT 2(3) 90:1--90:40. DOI: http://dx.doi.org/10.1145/3264900.

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