Exploring Emotions: Study of Five Design Workshops for Generating Ideas for Emotional Self-report Interfaces
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-42280-5_18
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3. Bota, P.J., et al.: A review, current challenges, and future possibilities on emotion recognition using machine learning and physiological signals. IEEE Access 7, 140990–141020 (2019)
4. Bradley, M.M., Lang, P.J.: Measuring emotion: the self-assessment manikin and the semantic differential. J. Behav. Ther. Exp. Psychiatry 25(1), 49–59 (1994)
5. Broekens, J., Brinkman, W.-P.: AffectButton: a method for reliable and valid affective self-report. Int. J. Hum. Comput. Stud. 71(6), 641–667 (2013)
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