scholarly journals A Computational Model of Non-optimal Suspiciousness in the Minnesota Trust Game

2021 ◽  
Author(s):  
Rebecca Kazinka ◽  
Iris Vilares ◽  
Angus MacDonald
Keyword(s):  
Decision Making ◽  
Risk Aversion ◽  
Computational Model ◽  
Inequity Aversion ◽  
Trust Game ◽  
Social Decision ◽  
Future Studies ◽  
Two Samples ◽  
Highly Correlated ◽  
Social Decision Making

This study modeled spite sensitivity (the worry that others are willing to incur a loss to hurt you), which is thought to undergird suspiciousness and persecutory ideation. Two samples performed a parametric, non-iterative trust game known as the Minnesota Trust Game (MTG). The MTG is designed to distinguish suspicious decision-making from otherwise rational mistrust by incentivizing the player to trust in certain situations. Individuals who do not trust even under these circumstances are particularly suspicious of their potential partner’s intentions. In Sample 1, 243 undergraduates who completed the MTG showed less trust as the amount of money they could lose increased. However, for choices where partners had a financial disincentive to betray the player, variation in the willingness to trust the partner was associated with suspicious beliefs. To further examine spite sensitivity, we modified the Fehr-Schmidt (1999) inequity aversion model, which compares unequal outcomes in social decision-making tasks, to include the possibility for spite sensitivity. In this case, an anticipated partner’s dislike of advantageous inequity (i.e., guilt) parameter could take on negative values, with negative guilt indicating spite. We hypothesized that the anticipated guilt parameter would be strongly related to suspicious beliefs. Our modification of the Fehr-Schmidt model improved estimation of MTG behavior. We isolated the estimation of partner’s spite-guilt, which was highly correlated with choices most associated with persecutory ideation. We replicated our findings in a second sample, where the estimated spite-guilt parameter correlated with self-reported suspiciousness. The “Suspiciousness” condition, unique to the MTG, can be modeled to isolate spite sensitivity, suggesting that spite sensitivity is separate from inequity aversion or risk aversion, and may provide a means to quantify persecution. The MTG offers promise for future studies to quantify persecutory beliefs in clinical populations.

scholarly journals Social Decision Making with Humans and Robots: Trust and Approachability Mediate Economic Decision Making

2018 ◽  
Author(s):  
Stephanie Tulk ◽  
Eva Wiese
Keyword(s):  
Decision Making ◽  
Ultimatum Game ◽  
Humanoid Robots ◽  
Trust Game ◽  
Social Decision ◽  
Economic Decisions ◽  
Economic Decision Making ◽  
Human Likeness ◽  
Social Decision Making

As humanoid robots become more advanced and commonplace, the average user may find themselves in the position of wondering if their robotic companion truly possesses a mind. It is important for scientists and designers to consider how this will likely affect our interactions with social robots. The current paper explores how social decision making with humanoid robots changes as the degree of their human-likeness changes. For that purpose, we created a spectrum of human-like agents via morphing that ranged from very robot-like to very human-like in physical appearance (in increments of 20%) and measured how this change in physical humanness affected decision-making in two economic games: Ultimatum Game (Experiment 1) and Trust Game (Experiment 2). We expected increases in human-like appearance to lead to a higher rate of punishment for unfair offers in the Ultimatum Game, and to a higher rate of trust in the Trust Game. While physical humanness did not have an impact on economic decisions in either of the experiments, follow-up analyses showed that both subjective ratings of trust and agent approachability mediated the effect of agent appearance on decision-making in both experiments. Possible consequences of these findings for human- robot interactions are discussed.

Trust and Approachability Mediate Social Decision Making in Human-Robot Interaction

2018 ◽  
Vol 62 (1) ◽  
pp. 704-708
Author(s):  
Stephanie Tulk ◽  
Eva Wiese
Keyword(s):  
Decision Making ◽  
Ultimatum Game ◽  
Humanoid Robots ◽  
Human Robot Interaction ◽  
Trust Game ◽  
Social Decision ◽  
Economic Decisions ◽  
Social Decisions ◽  
Human Likeness ◽  
Social Decision Making

As humanoid robots become more advanced and commonplace, the average user may perceive their robotic companion as human-like entities that can make social decisions, such as the deliberate choice to act fairly or selfishly. It is important for scientists and designers to consider how this will affect our interactions with social robots. The current paper explores how social decision making with humanoid robots changes as the degree of their human-likeness changes. For that purpose, we created a spectrum of human-like agents via morphing that ranged from very robot-like to very human-like in physical appearance (i.e., in increments of 20%) and measured how this change in physical humanness affected decision-making in two economic games: the Ultimatum Game (Experiment 1) and Trust Game (Experiment 2). We expected increases in human-like appearance to lead to higher rates of punishment for unfair offers and higher ratings of trust in both games. While physical humanness did not have an impact on economic decisions in either of the ex-periments, follow-up analyses showed that both subjective ratings of trust and agent approachability medi-ated the effect of agent appearance on decision-making in both experiments. Possible consequences of these findings for human-robot interactions are discussed.

Less Power or Powerless? Egocentric Empathy Gaps and the Irony of Having Little vs. No Power in Social Decision Making

2008 ◽  
Author(s):  
Michel Handgraaf ◽  
Eric van Dijk ◽  
Riël C. Vermunt ◽  
Henk Wilke ◽  
Carsten K. W. De Dreu
Keyword(s):  
Decision Making ◽  
Social Decision ◽  
Social Decision Making

scholarly journals Social Value Orientation Modulates Fairness Processing During Social Decision-Making: Evidence From Behavior and Brain Potentials

2021 ◽  
Author(s):  
Xinmu Hu ◽  
Xiaoqin Mai
Keyword(s):  
Decision Making ◽  
Ultimatum Game ◽  
Value Orientation ◽  
Emotional Reactions ◽  
Event Related Potential ◽  
Social Value ◽  
Social Value Orientation ◽  
Social Decision ◽  
Frontal Negativity ◽  
Social Decision Making

Abstract Social value orientation (SVO) characterizes stable individual differences by an inherent sense of fairness in outcome allocations. Using the event-related potential (ERP), this study investigated differences in fairness decision-making behavior and neural bases between individuals with prosocial and proself orientations using the Ultimatum Game (UG). Behavioral results indicated that prosocials were more prone to rejecting unfair offers with stronger negative emotional reactions compared with proselfs. ERP results revealed that prosocials showed a larger P2 when receiving fair offers than unfair ones in a very early processing stage, whereas such effect was absent in proselfs. In later processing stages, although both groups were sensitive to fairness as reflected by an enhanced medial frontal negativity (MFN) for unfair offers and a larger P3 for fair offers, prosocials exhibited a stronger fairness effect on these ERP components relative to proselfs. Furthermore, the fairness effect on the MFN mediated the SVO effect on rejecting unfair offers. Findings regarding emotional experiences, behavioral patterns, and ERPs provide compelling evidence that SVO modulates fairness processing in social decision-making, whereas differences in neural responses to unfair vs. fair offers as evidenced by the MFN appear to play important roles in the SVO effect on behavioral responses to unfairness.

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