Hxdoll
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Aug 28, 2022
7:36 AM
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Reversing perspectives, the robot assessment of the human is especially important because it is key to determining an appropriate robot response both in verbal and non-verbal terms. Such assessments can be based on several factors including the human’s words, voice tone, facial expression, and various bio-feedback cues. To conduct research on reading human emotions it is first necessary to agree on what are the relevant human emotions in the context of intimate human-robot encounters. There are many schemas of emotions with the number of emotions ranging from a handful to hundreds or even thousands. Psychological inventories usually measure 5–15. However, one recent study that elicited open-end responses to more than 2000 short videos and then statistically identified distinct clusters of responses, identified 27 discrete emotions (Cowen and Keltner 2017). Scrutinizing this list for relevant emotions specifically suited to describing sexual experiences reduces the list to perhaps one-third of the original 27: boredom, craving, disgust, excitement, fear, horror, joy, romance, and sexual desire. We would presumably want to minimize boredom, disgust, fear, and horror while maximizing craving, excitement, joy, romance, and sexual desire. One difficulty is that these emotions are not independent. In addition, a small level of one may be pleasant while a large level is unpleasant. Furthermore, what is ideal for one person may be far from ideal for another. Lange et al. (2020) suggest that a solution might be found using psychometrics. However, the four factors of one such attempt (Elfers and Offringa 2019) to capture sexual ecstasy—empathy, sacred connection, space and time, and distress—seem less than compelling, both as sex robot simulation goals and for human emotional response measurement.
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