
Contents
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Affective Computing and Its Applications Affective Computing and Its Applications
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Aims and Potential Challenges Aims and Potential Challenges
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Definitional Issues Definitional Issues
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Descriptive Issues Descriptive Issues
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Methodological Issues Methodological Issues
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Technical Issues Technical Issues
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State of the Art State of the Art
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Acted Versus Naturalistic Data Acted Versus Naturalistic Data
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Working with Naturalistic Data Working with Naturalistic Data
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Revisiting the Data Revisiting the Data
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Qualitative Analysis Qualitative Analysis
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Reflections on the Way Forward Reflections on the Way Forward
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Different Perspectives Different Perspectives
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Alternative Conceptualization Alternative Conceptualization
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Compromise on Functionalities: Separation of Measurement and Meaning Compromise on Functionalities: Separation of Measurement and Meaning
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Exploring Intentionality Exploring Intentionality
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Using Eye Tracking During Labeling Using Eye Tracking During Labeling
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Summary and Conclusions Summary and Conclusions
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Acknowledgments Acknowledgments
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References References
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26 Emotion Data Collection and Its Implications for Affective Computing
Get accessShazia Afzal completed her PhD as a Gates Scholar in the Rainbow Research Group at Cambridge University.
Peter Robinson is Professor of English and American Literature at the University of Reading, and poetry editor for Two Rivers Press. He has been awarded the Cheltenham Prize, the John Florio Prize, and two Poetry Book Society Recommendations for his poetry and translations from the Italian. His most recent publications include a novel, September in the Rain (2016), his Collected Poems 1976–2016 (2017), and a critical monograph, The Sound Sense of Poetry (2018). He is also the editor of The Oxford Handbook of Contemporary British & Irish Poetry (2013), which came out in paperback in 2016.
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Published:01 April 2014
Cite
Abstract
This chapter is from the forthcoming The Oxford Handbook of Affective Computing edited by Rafael Calvo, Sidney K. D'Mello, Jonathan Gratch, and Arvid Kappas. Affective Computing has matured into an exciting and promising research discipline; several applications already show its immense potential in realizing the next generation of intelligent, intuitive, user-friendly interfaces. However, the nature of affective phenomena and their reliable measurement continue to pose fundamental problems. This chapter identifies the aims and potential challenges of affective computing and—in light of observations drawn from naturalistic data collection, emotion annotation and its analysis—highlights the need to understand the nature and expression of emotions in the context of technology use and proposes alternative ways of exploring emotional communication in human-computer interaction.
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