“…Additionally, as human-robot interaction research teaches us, the implementation and use of an artificial architecture, along with understanding the human response to AI behavior, also aims to shed light on the mechanisms that drive human cognition and social nature (e.g., Manzi, Di Dio, et al, 2021;Rotenberg et al, 2015;Wiese, Metta, & Wykowska, 2017;Wykowska, Chaminade, & Cheng, 2016). From developmental psychology, we learn that art fruition readily leads the perceiver to think about the authors' minds (Allen & Freeman, 2020;Savazzi et al, 2014), as also supported by brain-imaging studies suggesting that understanding the intentions behind human-made products elicits neural activity in areas dedicated to mental state attribution (Steinbeis & Koelsch, 2009). Therefore, to guide us in understanding people's attitudes toward and conceptualization of the robot mind, as well as the psychological processes that drive aesthetic evaluations more in general, we also asked participants to assess the quality of the mental contents of the putative robot and human artist.…”