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Titlebook: Affect and Emotion in Human-Computer Interaction; From Theory to Appli Christian Peter,Russell Beale Book 2008 Springer-Verlag Berlin Heide

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发表于 2025-3-21 18:32:34 | 显示全部楼层 |阅读模式
期刊全称Affect and Emotion in Human-Computer Interaction
期刊简称From Theory to Appli
影响因子2023Christian Peter,Russell Beale
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Affect and Emotion in Human-Computer Interaction; From Theory to Appli Christian Peter,Russell Beale Book 2008 Springer-Verlag Berlin Heide
影响因子.Affect and emotion play an important role in our everyday lives: They are present whatever we do, wherever we are, and wherever we go, without us being aware of them for much of the time. When it comes to interaction, be it with humans, technology, or humans via technology, we suddenly become more aware of emotion, either by seeing the other’s emotional expression, or by not getting an emotional response while anticipating one. ...Given this, it seems only sensible to explore affect and emotion in human-computer interaction, to investigate the underlying principles, to study the role they play, to develop methods to quantify them, and to finally build applications that make use of them. This is the research field for which, over ten years ago, Rosalind Picard coined the phrase "affective computing"....The present book provides an account of the latest work on a variety of aspects related to affect and emotion in human-technology interaction. It covers theoretical issues, user experience and design aspects as well as sensing issues, and reports on a number of affective applications that have been developed in recent years..
Pindex Book 2008
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https://doi.org/10.1057/9780230508286emotion. Statistical analyses were conducted for films and for self-assessed emotional state and in addition, supervised machine learning technique was utilized. Recognition rates reached up to 72% for a specific emotion (one out of five) and up to 82% for an underlying dimension (one out of two).
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Common Failures in the Governance Processmultimodal data resulted in a large increase in the recognition rates in comparison with the unimodal systems: the multimodal approach gave an improvement of more than 10% when compared to the most successful unimodal system. Further, the fusion performed at the feature level provided better results than the one performed at the decision level.
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Finance and Capital Markets Seriesectly to the device itself and influenced by contextual factors, we discovered that certain controllable aspects of interactive products showed clear patterns of emotion in the responses of our participants. We discuss our findings and provide implications for the design of emotional experiences in interactive devices.
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Corporate Governance und Familienunternehmencognition capabilities. The dog can recognise the emotional state of it’s owner from affective cues in the owner’s speech and respond with appropriate actions. The evaluation study shows that users can recognise the new robotic dog to be emotionally intelligent and report that this makes the dog appear more ‘alive’.
发表于 2025-3-22 21:51:15 | 显示全部楼层
0302-9743 out us being aware of them for much of the time. When it comes to interaction, be it with humans, technology, or humans via technology, we suddenly become more aware of emotion, either by seeing the other’s emotional expression, or by not getting an emotional response while anticipating one. ...Give
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Risto Laulajainen,Howard A. Staffordion to the emphasis put on ., on . and . in human computer interaction for so long. We discuss how this dichotomy is not in itself very fruitful in changing human-computer interaction. We offer this article as a voice in an ongoing discussion about where we are heading, and which directions this discussion could take.
发表于 2025-3-23 05:59:14 | 显示全部楼层
Risto Laulajainen,Howard A. Staffordlustrates recent work with two projects that developed software research tools. The first builds on the semantic differential to measure an individual’s self-esteem across several dimensions, and the second assesses the subject’s reactions to 2,000 common events in terms of 20 emotions.
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