Affect: from information to interaction
Affect: from information to interaction
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影响：从信息到互动
DOI：
10.1145/1094562.1094570
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发表时间：
2005
期刊：
影响因子：
--
通讯作者：
Phoebe Sengers
中科院分区：
文献类型：
--
作者：
Kirsten Boehner;R. Paula;Paul Dourish;Phoebe Sengers
虽然情感计算明确挑战了认知主义对人类活动的解释中理性的首要地位，但在更深层次上，它依赖并复制了相同的认知信息处理模型。在情感计算中，情感通常被视为另一种信息-个体内部的离散单元或状态，可以以无损失的方式从人传递到计算系统并返回。借鉴文化，社会，和互动的认知已经出现在HCI的批评，我们介绍和探索的情感互动的替代模型：动态的，文化介导的，社会建设和经验。这种模型为情感系统的设计和评估带来了新的目标--系统应该支持人类用户理解、解释和体验情感的全部复杂性和模糊性，而不是感知和传递情感。
While affective computing explicitly challenges the primacy of rationality in cognitivist accounts of human activity, at a deeper level it relies on and reproduces the same information-processing model of cognition. In affective computing, affect is often seen as another kind of information - discrete units or states internal to an individual that can be transmitted in a loss-free manner from people to computational systems and back. Drawing on cultural, social, and interactional critiques of cognition which have arisen in HCI, we introduce and explore an alternative model of emotion as interaction: dynamic, culturally mediated, and socially constructed and experienced. This model leads to new goals for the design and evaluation of affective systems - instead of sensing and transmitting emotion, systems should support human users in understanding, interpreting, and experiencing emotion in its full complexity and ambiguity.