TY - JOUR
T1 - Trusting humans and avatars: A brain imaging study based on evolution theory
AU - Riedl, René
AU - Mohr, Peter N. C.
AU - Kenning, Peter
AU - Davis, Fred D.
AU - Heekeren, Hauke R.
N1 - Funding Information:
Acknowledgments: the authors thank the guest editors, ting-Peng liang and Jan vom Brocke, as well as three anonymous reviewers for their excellent work in providing guidance on ways to improve the paper. Moreover, they are grateful to Cornelia huber for her support in developing the avatars. they also appreciate the generous and visionary support of NovomindAg, germany (www.novomind.com). they appreciate the generous support of Schindler Parent Meersburg who, through the Schindler Parent Distinguished guest lecturer for Marketing, supported René Riedl’s work on NeuroIS and consumer neuroscience projects at Zeppelin university Friedrichshafen. Peter N.C. Mohr’s work on this project was supported by the “Collaborative Research Center 649: Economic Risk” funded by the german Research Foundation (DFg). Fred D. Davis’s work on this paper was partially supported by Sogang Business School’s World Class university Project (R32-20002) funded by the Korean Research Foundation. the authors acknowledge the support of hock hai teo and hock Chuan Chan, who served as chairs of the track “human–Computer Interaction” at the 2011 International Conference on Information Systems (ICIS, Shanghai, December 4–7), where an earlier version of this paper was presented. they also thank the conference participants who provided useful comments. Finally, they thank Deborah C. Nester for proofreading the manuscript.
PY - 2014/4/1
Y1 - 2014/4/1
N2 - Avatars, as virtual humans possessing realistic faces, are increasingly used for social and economic interaction on the Internet. Research has already determined that avatar-based communication may increase perceived interpersonal trust in anonymous online environments. Despite this trust-inducing potential of avatars, however, we hypothesize that in trust situations, people will perceive human faces differently than they will perceive avatar faces. This prediction is based on evolution theory, because throughout human history the majority of interaction among people has taken place in face-to-face settings. Therefore, unlike perception of an avatar face, perception of a human face and the related trustworthiness discrimination abilities must be part of the genetic makeup of humans. Against this background, we conducted a functional magnetic resonance imaging experiment based on a multiround trust game to gain insight into the differences and similarities of interactions between humans versus human interaction with avatars. Our results indicate that (1) people are better able to predict the trustworthiness of humans than the trustworthiness of avatars; (2) decision making about whether or not to trust another actor activates the medial frontal cortex significantly more during interaction with humans, if compared to interaction with avatars; this brain area is of paramount importance for the prediction of other individuals' thoughts and intentions (mentalizing), a notably important ability in trust situations; and (3) the trustworthiness learning rate is similar, whether interacting with humans or avatars. Thus, the major implication of this study is that although interaction on the Internet may have benefits, the lack of real human faces in communication may serve to reduce these benefits, in turn leading to reduced levels of collaboration effectiveness.
AB - Avatars, as virtual humans possessing realistic faces, are increasingly used for social and economic interaction on the Internet. Research has already determined that avatar-based communication may increase perceived interpersonal trust in anonymous online environments. Despite this trust-inducing potential of avatars, however, we hypothesize that in trust situations, people will perceive human faces differently than they will perceive avatar faces. This prediction is based on evolution theory, because throughout human history the majority of interaction among people has taken place in face-to-face settings. Therefore, unlike perception of an avatar face, perception of a human face and the related trustworthiness discrimination abilities must be part of the genetic makeup of humans. Against this background, we conducted a functional magnetic resonance imaging experiment based on a multiround trust game to gain insight into the differences and similarities of interactions between humans versus human interaction with avatars. Our results indicate that (1) people are better able to predict the trustworthiness of humans than the trustworthiness of avatars; (2) decision making about whether or not to trust another actor activates the medial frontal cortex significantly more during interaction with humans, if compared to interaction with avatars; this brain area is of paramount importance for the prediction of other individuals' thoughts and intentions (mentalizing), a notably important ability in trust situations; and (3) the trustworthiness learning rate is similar, whether interacting with humans or avatars. Thus, the major implication of this study is that although interaction on the Internet may have benefits, the lack of real human faces in communication may serve to reduce these benefits, in turn leading to reduced levels of collaboration effectiveness.
KW - NeuroIS
KW - agent
KW - avatar
KW - brain
KW - cognitive neuroscience
KW - evolution theory
KW - evolutionary psychology
KW - functional magnetic resonance imaging (fMRI)
KW - medial frontal cortex (MFC)
KW - mentalizing
KW - theory-of-mind (TOM)
UR - http://www.scopus.com/inward/record.url?scp=84900000764&partnerID=8YFLogxK
U2 - 10.2753/MIS0742-1222300404
DO - 10.2753/MIS0742-1222300404
M3 - Article
SN - 1557-928X
VL - 30
SP - 83
EP - 114
JO - Journal of Management Information Systems
JF - Journal of Management Information Systems
IS - 4
ER -