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date: 25 June 2022

Abstract and Keywords

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. The ability to reliably and ethically elicit affective states in the laboratory is critical in studying and developing systems that can detect, interpret, and adapt to human affect. Many methods for eliciting emotions have been developed. In general, they involve presenting a stimulus to evoke a response from one or more emotion response systems. The nature of the stimulus varies widely. Passive methods include the presentation of emotional images, film clips, and music. Active methods can involve social or dyadic interactions with other people or behavioral manipulation in which an individual is instructed to adopt facial expressions, postures, or other emotionally relevant behaviors. This chapter discusses exemplar methods of each type, discusses advantages and disadvantages of each method, and briefly summarizes some additional methods.

Keywords: affect elicitation, emotional images, emotional film clips, emotional music, backward masking, behavior manipulation, social interaction, dyadic interaction

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