Affective computing
Experience clip: method for user participation and evaluation of mobile concepts
PDC 04 Proceedings of the eighth conference on Participatory design: Artful integration: interweaving media, materials and practices - Volume 1
Evaluating affective interfaces: innovative approaches
CHI '05 Extended Abstracts on Human Factors in Computing Systems
pDM: An Expressive Sequencer with Real-Time Control of the KTH Music-Performance Rules
Computer Music Journal
International Journal of Human-Computer Studies
Measuring emotional valence to understand the user's experience of software
International Journal of Human-Computer Studies
Editorial: Evaluating affective interactions
International Journal of Human-Computer Studies
International Journal of Human-Computer Studies
Measuring affect in hci: going beyond the individual
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Emotional Music Generation Using Interactive Genetic Algorithm
CSSE '08 Proceedings of the 2008 International Conference on Computer Science and Software Engineering - Volume 01
Emotional speech synthesis by XML file using interactive genetic algorithms
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Emotion semantics image retrieval: an brief overview
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
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Evaluating the effectiveness of emotional algorithms is a challenge in the research of affective computing. This paper presents an evaluation method using psychological scales. Affective interfaces and artifacts generated by different emotional algorithms are regarded as the external stimuli, while users' feelings are regarded as subjective evaluations. Psychophysical methods, such as the Scheffe method of paired comparison, are adopted to measure users' feelings and obtain a psychological scale. Thus objects generated by different algorithms can be compared on this psychological scale. The higher the value, the better the algorithm is. Empirical studies on three kinds of emotional algorithms, namely emotional image retrieval, emotional speech synthesis, and emotional music generation, are used to illustrate various uses of our approach and how it may be applied to evaluating affective interaction and user-centered design.