Interaction Studies - Volume 12, Issue 3, 2011

Classically, the question of recognizing another subject is posed unilaterally, in terms of the observed behaviour of the other entity. Here, we propose an alternative, based on the emergent patterns of activity resulting from the interaction of both partners. We employ a minimalist device which forces the subjects to externalize their perceptual activity as trajectories which can be observed and recorded; the results show that subjects do identify the situation of perceptual crossing with their partner. The interpretation of the results is guided by comparable evolutionary robotics simulations. There are two components to subjects’ recognition capacities: distinguishing mobile and fixed entities; and behaving so as to interact with their partner rather than with a mobile lure. The “Other” is characterized by the feature that there is sufficient regularity in the interactions to encourage the formation of anticipations; but sufficient indetermination that the actual behaviour is consistently surprising. Keywords: Recognition of other; perceptual crossing; evolutionary robotics

The social brain hypothesis implies that humans and other primates evolved “modules” for representing social knowledge. Alternatively, no such cognitive specializations are needed because social knowledge is already present in the world — we can simply monitor the dynamics of social interactions. Given the latter idea, what mechanism could account for coalition formation? We propose that statistical learning can provide a mechanism for fast and implicit learning of social signals. Using human participants, we compared learning of social signals with arbitrary signals. We found that learning of social signals was no better than learning of arbitrary signals. While coupling faces and voices led to parallel learning, the same was true for arbitrary shapes and sounds. However, coupling versus uncoupling social signals with arbitrary signals revealed that faces and voices are treated with perceptual priority. Overall, our data suggest that statistical learning is a viable domain-general mechanism for learning social group structure. Keywords: social brain; embodied cognition; distributed cognition; situated cognition; multisensory; audiovisual speech; crossmodal; multimodal

Although chimpanzees have been reported to understand to some extent others’ visual perception, previous studies using food requesting tasks are divided on whether or not chimpanzees understand the role of eye gaze. One plausible reason for this discrepancy may be the familiarity of the testing situation. Previous food requesting tasks with negative results used an unfamiliar situation that may be difficult for some chimpanzees to recognize as a requesting situation, whereas those with positive results used a familiar situation. The present study tested chimpanzees’ understanding of others’ attentional states by comparing two requesting situations: an unfamiliar situation in which food was put on a table, and a familiar situation in which chimpanzees requested food held by an experimenter. Chimpanzees showed evidence of understanding the experimenter’s attentional variations and the role of eye gaze only in the latter task. This suggests that an unfamiliar requesting situation may keep subjects from expressing their understanding of others’ attentional states even though they are sensitive to them. Keywords: Understanding attention; Social cognition; Chimpanzees

Based on an integrated theoretical framework, this study analyzes user acceptance behavior toward socially interactive robots focusing on the variables that influence the users’ attitudes and intentions to adopt robots. Individuals’ responses to questions about attitude and intention to use robots were collected and analyzed according to different factors modified from a variety of theories. The results of the proposed model explain that social presence is key to the behavioral intention to accept social robots. The proposed model shows the significant roles of perceived adaptivity and sociability, both of which affect attitude as well as influence perceived usefulness and perceived enjoyment, respectively. These factors can be key features of users’ expectations of social robots, which can give practical implications for designing and developing meaningful social interaction between robots and humans. The new set of variables is specific to social robots, acting as factors that enhance attitudes and behavioral intentions in human–robot interactions. Keywords: Robot acceptance model; Socially interactive robots; Social robots; Social presence

We empirically tested Hemelrijk’s agent-based model (Hemelrijk 1998), in which dyadic agonistic interaction between primate-group subjects determines their spatial distribution and whether or not the dominant subject has a central position with respect to the other subjects. We studied a group of captive red-capped mangabeys (Cercocebus torquatus torquatus) that met the optimal conditions for testing this model (e.g. a linear dominance hierarchy). We analyzed the spatial distribution of the subjects in relation to their rank in the dominance hierarchy and the results confirmed the validity of this model. In accordance with Hemelrijk’s model (Hemelrijk 1998), the group studied showed an ambiguity-reducing strategy that led to non-central spatial positioning on the part of the dominant subject, thus confirming the model indirectly. Nevertheless, for the model to be confirmed directly, the group has to adopt a risk-sensitive strategy so that observers can study whether dominant subjects develop spatial centrality. Our study also demonstrated that agent-based models are a good tool for the study of certain complex behaviors observed in primates because these explanatory models can help formulate suggestive hypotheses for exploring new lines of research in primatology. Keywords: Dominance-hierarchy rank; spatial distribution; Cercocebus torquatus; agent-based models