Kender, K., & Spiel, K. (2023). Banal Autistic Social Media: A Found Footage Autoethnography. In ASSETS ’23: Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility (pp. 1–7). Association for Computing Machinery. https://doi.org/10.1145/3597638.3614552
E193-05 - Forschungsbereich Human Computer Interaction
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Erschienen in:
ASSETS '23: Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility
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ISBN:
9798400702204
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Datum (veröffentlicht):
Okt-2023
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Veranstaltungsname:
ASSETS '23: The 25th International ACM SIGACCESS Conference on Computers and Accessibility
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Veranstaltungszeitraum:
22-Okt-2023 - 25-Okt-2023
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Veranstaltungsort:
New York, Vereinigte Staaten von Amerika
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Umfang:
7
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Verlag:
Association for Computing Machinery, New York
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Peer Reviewed:
Ja
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Keywords:
Autism; Design Power; Neurodivergence; Social Media
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Abstract:
In this position paper, we argue for designing autistic social media for thriving neurodiverse online communities. We discuss emerging work in the field of Human-Computer Interaction around autism and social media design, and explore how a Banal Autistic Design approach can lead to a less deficit-focused design paradigm by conducting a Found Footage Autoethnography, a method we introduce as an autoethnography variant suited to autistic embodied ways of knowing. Finally, we juxtapose our design insights with existing design guidelines for autistic social media, and argue for design for customisation, anti-normativity, non-prescripitiveness, granular publics, and interest-centricity.
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Forschungsschwerpunkte:
Visual Computing and Human-Centered Technology: 100%
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Wissenschaftszweig:
6050 - Andere Geisteswissenschaften: 20% 1020 - Informatik: 80%
