- Title
- Facial image browsing simulation for selfies
- Creator
- Kenke, Ralph; Trefz, Elmar; Hardjono, Ardrian
- Relation
- TEI '20: Fourteenth International Conference on Tangible, Embedded, and Embodied Interaction. TEI '20: Proceedings of the Fourteenth International Conference on Tangible, Embedded, and Embodied Interaction (Sydney, Australia 9-12 February, 2020) p. 949-954
- Publisher Link
- http://dx.doi.org/10.1145/3374920.3374998
- Publisher
- Association for Computing Machinery (ACM)
- Resource Type
- conference paper
- Date
- 2020
- Description
- Qualitative data such as photo libraries and image archives on smartphones or cloud storage face the challenge of becoming overwhelming and inaccessible to its users, due to their large volume and increasing growth rate of data. Digital tools such as searchable labels or tags can help organise such databases, for example like the use of the hashtag on the social media platform Instagram, which enables the organisation of images by applying personalised tags to it. Images that are shared online retain personal data, which poses, in some cases, ethical challenges. Both the volume of image data and how we can design experiences to view or visualise its content as well as the benefits and risks that such application poses in terms of our personal data are explored in the Participatory Media Installation Selfie Flaneur.
- Subject
- ux and ui design; facial recognition; embodied interface; biometric data; selfie; photo libraries
- Identifier
- http://hdl.handle.net/1959.13/1462921
- Identifier
- uon:46594
- Identifier
- ISBN:9781450361071
- Language
- eng
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