This article investigates the differences in cognitive and neural mechanisms between human-human and human-virtual agent interaction using a dataset recorded in an ecologically realistic environment. We use Convergent Cross Mapping (CCM) to investigate functional connectivity between pairs of regions involved in the framework of social cognitive neuroscience, namely the fusiform gyrus, superior temporal sulcus (STS), temporoparietal junction (TPJ), and the dorsolateral prefrontal cortex (DLPFC)-taken as prefrontal asymmetry. Our approach is a compromise between investigating local activation in specific regions and investigating connectivity networks that may form part of larger networks. In addition to concording with previous studies, our results suggest that the right TPJ is one of the most reliable areas for assessing processes occurring during human-virtual agent interactions, both in a static and dynamic sense.
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http://dx.doi.org/10.3389/fnrgo.2022.843005 | DOI Listing |
Front Neuroergon
May 2022
National Institute of Informatics, Tokyo, Japan.
This article investigates the differences in cognitive and neural mechanisms between human-human and human-virtual agent interaction using a dataset recorded in an ecologically realistic environment. We use Convergent Cross Mapping (CCM) to investigate functional connectivity between pairs of regions involved in the framework of social cognitive neuroscience, namely the fusiform gyrus, superior temporal sulcus (STS), temporoparietal junction (TPJ), and the dorsolateral prefrontal cortex (DLPFC)-taken as prefrontal asymmetry. Our approach is a compromise between investigating local activation in specific regions and investigating connectivity networks that may form part of larger networks.
View Article and Find Full Text PDFSci Rep
April 2020
Division of Cerebral Integration, Department of System Neuroscience, National Institute for Physiological Sciences, Okazaki, Aichi, 444-8585, Japan.
Affective communication, communicating with emotion, during face-to-face communication is critical for social interaction. Advances in artificial intelligence have made it essential to develop affective human-virtual agent communication. A person's belief during human-virtual agent interaction that the agent is a computer program affects social-cognitive processes.
View Article and Find Full Text PDFMethods Inf Med
June 2019
HCI Group, University of Konstanz, Konstanz, Germany.
Objective: Poor lifestyle represents a health risk factor and is the leading cause of morbidity and chronic conditions. The impact of poor lifestyle can be significantly altered by individual's behavioral modification. Although there are abundant lifestyle promotion applications and tools, they are still limited in providing tailored social support that goes beyond their predefined functionalities.
View Article and Find Full Text PDFAutism Res
March 2019
Department of Psychiatry and Psychotherapy, University Hospital Cologne, Cologne, Germany.
Research studies to date have revealed conflicting results with respect to the processing of nonverbal cues from social interactions in autism spectrum disorder (ASD). Therefore, the aim of the present study was to investigate the contribution of two important factors for the perception of dyadic social interactions, namely (a) the movement contingency and (b) the spatial context. To this end, 26 adult participants with ASD and 26 age-, sex-, and IQ-matched typically developed control participants observed animations presenting nonverbal interactions between two human virtual characters enacting power relationships.
View Article and Find Full Text PDFIEEE Comput Graph Appl
October 2018
Subtle phenomena rooted in our body dynamics affect the reactive and evolutive parts of every human interaction. The authors' decision model allows for adaptive physical interactions between a human and a virtual agent. This article presents an evaluation of that model in terms of agent believability, the user's feeling of co-presence, and overall game experience.
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