Social-Emotional-Sensory Design Map for Affective Computing Informed by Neurodivergent Experiences
Social-Emotional-Sensory Design Map for Affective Computing Informed by Neurodivergent Experiences
复制标题
基于神经发散体验的情感计算社交情感感知设计图
DOI:
10.1145/3449151
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发表时间:
2021
影响因子:
--
通讯作者:
Snyder, Jaime
中科院分区:
文献类型:
--
作者:
Zolyomi, Annuska;Snyder, Jaime
One of the grand challenges of artificial intelligence and affective computing is for technology to become emotionally-aware and thus, more human-like. Modeling human emotions is particularly complicated when we consider the lived experiences of people who are on the autism spectrum. To understand the emotional experiences of autistic adults and their attitudes towards common representations of emotions, we deployed a context study as the first phase of a Grounded Design research project. Based on community observations and interviews, this work contributes empirical evidence of how the emotional experiences of autistic adults are entangled with social interactions as well as the processing of sensory inputs. We learned that (1) the emotional experiences of autistic adults are embodied and co-constructed within the context of physical environments, social relationships, and technology use, and (2) conventional approaches to visually representing emotion in affective education and computing systems fail to accurately represent the experiences and perceptions of autistic adults. We contribute a social-emotional-sensory design map to guide designers in creating more diverse and nuanced affective computing interfaces that are enriched by accounting for neurodivergent users.
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影响因子:
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DOI:
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发表时间:
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期刊:
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