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Dancing robots: Aesthetic engagement is shaped by stimulus and knowledge cues to human animacy
- Kohinoor Monish Darda
- Aaron Maiwald
- Tanvi Raghuram
- Emily S. Cross
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Description: In the present study, we aim to examine the link between aesthetic appreciation and stimulus and knowledge cues to human animacy. Through a series of experiments, this study explores the relationship between stimulus (agent) and knowledge (source of movement) cues to human animacy, and their link to aesthetic appreciation. Previous evidence suggests higher ratings of smoothness and liking when movement was believed to originate from human movement compared to computer animation, independent of weather the agent's form was a human or robot (Cross et al., 2016). Moreover, human-generated choreographies are preferred to choreographies that are human-generated (Darda & Cross, 2023). In the current experiment, we aim to delve more deeply into the relationship between stimulus and knowledge cues to human animacy on people’s aesthetic preferences for dance movements, and how this might interact with choreographies that are intentionally choreographed by a human (human-generated), and those that are choreographed by a computer (computer-generated).