%0 Conference Paper %1 dollinger2024exploring %A Döllinger, Nina %A Topel, Jessica %A Botsch, Mario %A Wienrich, Carolin %A Latoschik, Marc Erich %A Lugrin, Jean-Luc %B 2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) %D 2024 %K c.wienrich emlab myown ndoel nidoel piis %T Exploring Agent-User Personality Similarity and Dissimilarity for Virtual Reality Psychotherapy %U https://downloads.hci.informatik.uni-wuerzburg.de/2024-ieeevr-pandas-personality.pdf %X Imaginary self-encounters are a common approach in psychotherapy. Recent virtual reality advancements enable innovative approaches to enhanced self-encounters using photorealistic personalized Doppelgangers (DG). Yet, next to appearance, similarity in body language could be a great driver of self-identification with a DG or a generic agent. One cost-efficient and time-saving approach could be personality-enhanced animations. We present a pilot study evaluating the effects of personality-enhanced body language in DGs and generic agents. Eleven participants evaluated a Photorealistic DG and a Generic Agent, animated in a seated position to simulate four personality types: Low and High Extraversion and Low and High Emotional Stability. Participants rated the agents' personalities and their self-identification with them. We found an overall positive relationship between a calculated personality similarity score, self-attribution, and perceived behavior-similarity. Perceived appearance-similarity was affected by personality similarity only in generic agents, indicating the potential of body language to provoke a feeling of similarity even in dissimilar-appearing agents.

@inproceedings{dollinger2024exploring, abstract = {Imaginary self-encounters are a common approach in psychotherapy. Recent virtual reality advancements enable innovative approaches to enhanced self-encounters using photorealistic personalized Doppelgangers (DG). Yet, next to appearance, similarity in body language could be a great driver of self-identification with a DG or a generic agent. One cost-efficient and time-saving approach could be personality-enhanced animations. We present a pilot study evaluating the effects of personality-enhanced body language in DGs and generic agents. Eleven participants evaluated a Photorealistic DG and a Generic Agent, animated in a seated position to simulate four personality types: Low and High Extraversion and Low and High Emotional Stability. Participants rated the agents' personalities and their self-identification with them. We found an overall positive relationship between a calculated personality similarity score, self-attribution, and perceived behavior-similarity. Perceived appearance-similarity was affected by personality similarity only in generic agents, indicating the potential of body language to provoke a feeling of similarity even in dissimilar-appearing agents.}, added-at = {2024-02-23T12:41:33.000+0100}, author = {Döllinger, Nina and Topel, Jessica and Botsch, Mario and Wienrich, Carolin and Latoschik, Marc Erich and Lugrin, Jean-Luc}, biburl = {https://www.bibsonomy.org/bibtex/220415d6532f7fec58581c1b73c750e87/hci-uwb}, booktitle = {2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)}, interhash = {782ad13064a05d017bfc1f934a154c38}, intrahash = {20415d6532f7fec58581c1b73c750e87}, keywords = {c.wienrich emlab myown ndoel nidoel piis}, timestamp = {2024-11-21T09:27:11.000+0100}, title = {Exploring Agent-User Personality Similarity and Dissimilarity for Virtual Reality Psychotherapy}, url = {https://downloads.hci.informatik.uni-wuerzburg.de/2024-ieeevr-pandas-personality.pdf}, year = 2024 }