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- Title
- Emotional Response during Human-Virtual Partner Interaction.
- Creator
- Zhang, Mengsen, Dumas, Guillaume, Kelso, J. A. Scott, Graduate College, Tognoli, Emmanuelle
- Abstract/Description
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Emotion and coordinated movement complimentarily depicts our social experiences. How is motion colored? This study investigates variations in emotional responses during social coordination. Subjects were instructed to coordinate their finger movement with a Virtual Partner (VP), whose homologous movement was displayed as a video on the computer screen. The partner was driven by the Haken-Kelso-Bunz equations, an empirically validated model that captures behavioral and social coordination. It...
Show moreEmotion and coordinated movement complimentarily depicts our social experiences. How is motion colored? This study investigates variations in emotional responses during social coordination. Subjects were instructed to coordinate their finger movement with a Virtual Partner (VP), whose homologous movement was displayed as a video on the computer screen. The partner was driven by the Haken-Kelso-Bunz equations, an empirically validated model that captures behavioral and social coordination. It has been shown that people perceive VP as an intentional human agent. In each of 80 trials, subjects coordinated for 8 sec inphase or antiphase with VP, and then rated the partner’s intention (cooperation -VP intend same coordination pattern as human-, or competition) and subjective response to a Turing test of partners’ humanness. VP cooperated for half of the time, and could change its intention in the middle of a trial. Skin potential response (SPR) quantified the intensity of emotional responses. After validating the SPR measurements, we compared emotional responses by coordination pattern, cooperative~competitiveness, and humanness attribution. Subjects experienced higher emotional responses when they believed that their partner was human. This was observed both during coordination (ANOVA, p=0.020), and during rating (p=0.012). Furthermore during the rating period, higher emotional responses were found for cooperative behavior (p=0.012), modulated by VP’s change of intention and coordination pattern. This study suggests that emotional responses are strongly influenced by features of the partner’s behavior associated with humanness, cooperation and change of intention. Implications for mental health (e.g. autism) and design of socially cooperative machines will be discussed.
Show less - Date Issued
- 2014
- PURL
- http://purl.flvc.org/fau/fd/FA00005866
- Format
- Document (PDF)
- Title
- The Coordination Dynamics of Multiple Agents.
- Creator
- Zhang, Mengsen, Tognoli, Emmanuelle, Kelso, J. A. Scott, Florida Atlantic University, Charles E. Schmidt College of Science, Center for Complex Systems and Brain Sciences
- Abstract/Description
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A fundamental question in Complexity Science is how numerous dynamic processes coordinate with each other on multiple levels of description to form a complex whole - a multiscale coordinative structure (e.g. a community of interacting people, organs, cells, molecules etc.). This dissertation includes a series of empirical, theoretical and methodological studies of rhythmic coordination between multiple agents to uncover dynamic principles underlying multiscale coordinative structures. First,...
Show moreA fundamental question in Complexity Science is how numerous dynamic processes coordinate with each other on multiple levels of description to form a complex whole - a multiscale coordinative structure (e.g. a community of interacting people, organs, cells, molecules etc.). This dissertation includes a series of empirical, theoretical and methodological studies of rhythmic coordination between multiple agents to uncover dynamic principles underlying multiscale coordinative structures. First, a new experimental paradigm was developed for studying coordination at multiple levels of description in intermediate-sized (N = 8) ensembles of humans. Based on this paradigm, coordination dynamics in 15 ensembles was examined experimentally, where the diversity of subjects movement frequency was manipulated to induce di erent grouping behavior. Phase coordination between subjects was found to be metastable with inphase and antiphase tendencies. Higher frequency diversity led to segregation between frequency groups, reduced intragroup coordination, and dispersion of dyadic phase relations (i.e. relations at di erent levels of description). Subsequently, a model was developed, successfully capturing these observations. The model reconciles the Kuramoto and the extended Haken-Kelso-Bunz model (for large- and small-scale coordination respectively) by adding the second-order coupling from the latter to the former. The second order coupling is indispensable in capturing experimental observations and connects behavioral complexity (i.e. multistability) of coordinative structures across scales. Both the experimental and theoretical studies revealed multiagent metastable coordination as a powerful mechanism for generating complex spatiotemporal patterns. Coexistence of multiple phase relations gives rise to many topologically distinct metastable patterns with di erent degrees of complexity. Finally, a new data-analytic tool was developed to quantify complex metastable patterns based on their topological features. The recurrence of topological features revealed important structures and transitions in high-dimensional dynamic patterns that eluded its non-topological counterparts. Taken together, the work has paved the way for a deeper understanding of multiscale coordinative structures.
Show less - Date Issued
- 2018
- PURL
- http://purl.flvc.org/fau/fd/FA00013111
- Subject Headings
- Complexity science, Coordination dynamics, Nonlinear Dynamics, Nonlinear systems and complexity
- Format
- Document (PDF)