title: Computationally modeling interpersonal trust.
abstract: We present a computational model capable of predicting-above human accuracy-the degree of trust a person has toward their novel partner by observing the trust-related nonverbal cues expressed in their social interaction. We summarize our prior work, in which we identify nonverbal cues that signal untrustworthy behavior and also demonstrate the human mind's readiness to interpret those cues to assess the trustworthiness of a social robot. We demonstrate that domain knowledge gained from our prior work using human-subjects experiments, when incorporated into the feature engineering process, permits a computational model to outperform both human predictions and a baseline model built in naiveté of this domain knowledge. We then present the construction of hidden Markov models to investigate temporal relationships among the trust-related nonverbal cues. By interpreting the resulting learned structure, we observe that models built to emulate different levels of trust exhibit different sequences of nonverbal cues. From this observation, we derived sequence-based temporal features that further improve the accuracy of our computational model. Our multi-step research process presented in this paper combines the strength of experimental manipulation and machine learning to not only design a computational trust model but also to further our understanding of the dynamics of interpersonal trust.
authors.affiliation: Media Lab, Massachusetts Institute of Technology Cambridge, MA, USA.
authors.forename: Jin Joo
authors.initials: JJ
authors.lastname: Lee
authors.affiliation: Media Lab, Massachusetts Institute of Technology Cambridge, MA, USA.
authors.forename: W Bradley
authors.initials: WB
authors.lastname: Knox
authors.affiliation: Department of Psychology, Northeastern University Boston, MA, USA.
authors.forename: Jolie B
authors.initials: JB
authors.lastname: Wormwood
authors.affiliation: Media Lab, Massachusetts Institute of Technology Cambridge, MA, USA.
authors.forename: Cynthia
authors.initials: C
authors.lastname: Breazeal
authors.affiliation: Department of Psychology, Northeastern University Boston, MA, USA.
authors.forename: David
authors.initials: D
authors.lastname: Desteno
keywords: computational trust model; human-robot interaction; interpersonal trust; machine learning; nonverbal behavior; social signal processing