Decoding Partner Type in Human-Agent Negotiation using functional MRI (bibtex)
by Eunkyung Kim, Jared Gilbert, Charlotte Horowitz, Jonathan Gratch, Jonas T. Kaplan, Morteza Dehghani
Abstract:
People interact differently with humans than they do with computers, but there is minimal research on what brings about these differences. Using agents labeled as either “another participant” or a “computer program”, we investigated the differences in people’s behavior and brain activity during the course of a negotiation paradigm. Our results indicate that people perceive human-labeled agents more human-like than computerlabeled agents, and the level of concession in the negotiations is dependent on agent type. We have also found that these differences can be captured in brain activation by showing that parts of the Theory of Mind neural correlates are activated in human-labeled agent conditions, but not in computer-labeled agent conditions. We further demonstrate that brain activity can predict whether the negotiation agent was introduced as a competing human player or a computer program. Overall, our study suggests that labeling an interaction partner as either another human or a computer program leads to significant impacts on one’s decision making.
Reference:
Decoding Partner Type in Human-Agent Negotiation using functional MRI (Eunkyung Kim, Jared Gilbert, Charlotte Horowitz, Jonathan Gratch, Jonas T. Kaplan, Morteza Dehghani), In Proceedings of 39th Annual Meeting of the Cognitive Science Society, Cognitive Science Society, 2017.
Bibtex Entry:
@inproceedings{kim_decoding_2017,
	address = {London, UK},
	title = {Decoding {Partner} {Type} in {Human}-{Agent} {Negotiation} using functional {MRI}},
	url = {http://morteza-dehghani.net/wp-content/uploads/decoding-partner-type.pdf},
	abstract = {People interact differently with humans than they do with computers, but there is minimal research on what brings about these differences. Using agents labeled as either “another participant” or a “computer program”, we investigated the differences in people’s behavior and brain activity during the course of a negotiation paradigm. Our results indicate that people perceive human-labeled agents more human-like than computerlabeled agents, and the level of concession in the negotiations is dependent on agent type. We have also found that these differences can be captured in brain activation by showing that parts of the Theory of Mind neural correlates are activated in human-labeled agent conditions, but not in computer-labeled agent conditions. We further demonstrate that brain activity can predict whether the negotiation agent was introduced as a competing human player or a computer program. Overall, our study suggests that labeling an interaction partner as either another human or a computer program leads to significant impacts on one’s decision making.},
	booktitle = {Proceedings of 39th {Annual} {Meeting} of the {Cognitive} {Science} {Society}},
	publisher = {Cognitive Science Society},
	author = {Kim, Eunkyung and Gilbert, Jared and Horowitz, Charlotte and Gratch, Jonathan and Kaplan, Jonas T. and Dehghani, Morteza},
	month = jul,
	year = {2017},
	keywords = {Virtual Humans}
}
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