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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The Role of Affect and Emotion in HCIevelop methods to quantify them, and to finally build applications that make use of them. In this introductory chapter we discuss and give short accounts on present developments in the field, covering theoretical issues, user experience and design aspects, sensing issues, and report on some affective applications that have been developed.

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Auditory-Induced Emotion: A Neglected Channel for Communication in Human-Computer Interactionl differences are also discussed as factors influencing the emotional reactions to auditory stimuli. A study with heartbeat sounds exemplifies some of the introduced ideas and research methodologies, and shows the potential of sound in inducing emotional states.

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In the Moodie: Using ‘Affective Widgets’ to Help Contact Centre Advisors Fight Stressart of a prototype interface called a Motivational User Interface (MUI). They were created as a way of expressing and self reporting the emotional responses that users feel throughout the day. These prototype affective widgets were then evaluated by contact centre employees and their managers.

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Acoustic Emotion Recognition for Affective Computer Gamingpositive and negative emotions. Affective cues in the speech of the player are analysed automatically using an emotion recognition system and these affect the physical and behavioural attributes of the gaming character. The character is better able to overcome obstacles based on the emotional state of the player.

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Emotion Recognition through Multiple Modalities: Face, Body Gesture, Speechmultimodal 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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The Composite Sensing of Affect Thus, fusing the feature sets is challenging. We present a composite approach to affective sensing. The term composite is used to reflect the blending of information from multiple modalities with the available semantic evidence to enhance the emotion recognition process.