Social-Emotional-Sensory Design Map for Affective Computing Informed by Neurodivergent Experiences

Social-Emotional-Sensory Design Map for Affective Computing Informed by Neurodivergent Experiences
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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
Snyder, Jaime
中科院分区:
--
文献类型:
--
作者:
Zolyomi, Annuska;Snyder, Jaime

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人工智能和情感计算的巨大挑战之一是技术变得具有情感意识,从而更像人类。当我们考虑自闭症患者的生活经历时,对人类情感进行建模尤其复杂。为了了解自闭症成年人的情感体验以及他们对常见情感表征的态度,我们部署了一项情境研究作为接地设计研究项目的第一阶段。基于社区观察和访谈,这项工作提供了经验证据,说明自闭症成年人的情感体验如何与社会互动以及感官输入的处理纠缠在一起。我们了解到:(1)自闭症成年人的情感体验是在物理环境、社会关系和技术使用的背景下体现和共同构建的;(2)在情感教育和计算系统中,传统的视觉表达情感的方法无法准确地表达自闭症成年人的体验和感知。我们贡献了一个社会情感感官设计地图,以指导设计师在创造更多样化和细致入微的情感计算界面,丰富的会计神经分歧的用户。
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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