scholarly journals The influence of emotion regulation on social interactive decision-making.

Emotion ◽  
2010 ◽  
Vol 10 (6) ◽  
pp. 815-821 ◽  
Author(s):  
Mascha van't Wout ◽  
Luke J. Chang ◽  
Alan G. Sanfey
Keyword(s):  
Decision Making ◽  
Emotion Regulation ◽  
Interactive Decision Making

Influence of emotions and emotion regulation strategies on ethical decision making

2009 ◽  
Author(s):  
Vykinta Kligyte ◽  
Shane Connelly ◽  
Chase E. Thiel ◽  
Lynn D. Devenport ◽  
Ryan P. Brown ◽  
...  
Keyword(s):  
Decision Making ◽  
Emotion Regulation ◽  
Ethical Decision ◽  
Ethical Decision Making ◽  
Emotion Regulation Strategies ◽  
Regulation Strategies

Evaluating Risk-Propensity Assessment Methods: Patterns in Repeated Exposure to Emotional Stimuli

2020 ◽  
Vol 64 (1) ◽  
pp. 283-287
Author(s):  
Sahinya Susindar ◽  
Harrison Wissel-Littmann ◽  
Terry Ho ◽  
Thomas K. Ferris
Keyword(s):  
Decision Making ◽  
Emotion Regulation ◽  
Assessment Method ◽  
Decision Makers ◽  
Decision Task ◽  
Emotional States ◽  
Affective States ◽  
Risk Propensity ◽  
Emotional Stimuli ◽  
Comparison Results

In studying naturalistic human decision-making, it is important to understand how emotional states shape decision-making processes and outcomes. Emotion regulation techniques can improve the quality of decisions, but there are several challenges to evaluating these techniques in a controlled research context. Determining the effectiveness of emotion regulation techniques requires methodology that can: 1) reliably elicit desired emotions in decision-makers; 2) include decision tasks with response measures that are sensitive to emotional loading; and 3) support repeated exposures/trials with relatively-consistent emotional loading and response sensitivity. The current study investigates one common method, the Balloon Analog Risk Task (BART), for its consistency and reliability in measuring the risk-propensity of decision-makers, and specifically how the method’s effectiveness might change over the course of repeated exposures. With the PANASX subjective assessment serving for comparison, results suggest the BART assessment method, when applied over repeated exposures, is reduced in its sensitivity to emotional stimuli and exhibits decision task-related learning effects which influence the observed trends in response data in complex ways. This work is valuable for researchers in decision-making and to guide design for humans with consideration for their affective states.

Dynamics of Trust in Automation and Interactive Decision Making during Driving Simulation Tasks

2021 ◽  
Vol 65 (1) ◽  
pp. 786-790
Author(s):  
Lucero Rodriguez Rodriguez ◽  
Carlos Bustamante Orellana ◽  
Jayci Landfair ◽  
Corey Magaldino ◽  
Mustafa Demir ◽  
...  
Keyword(s):  
Decision Making ◽  
Automated System ◽  
Automated Driving ◽  
Safety And Efficacy ◽  
High Performing ◽  
Interactive Decision Making ◽  
Driving Task ◽  
Preliminary Study ◽  
Self Driving Cars ◽  
The Impact

As technological advancements and lowered costs make self-driving cars available to more people, it becomes important to understand the dynamics of human-automation interactions for safety and efficacy. We used a dynamical approach to examine data from a previous study on simulated driving with an automated driving assistant. To maximize effect size in this preliminary study, we focused the current analysis on the two lowest and two highest-performing participants. Our visual comparisons were the utilization of the automated system and the impact of perturbations. Low-performing participants toggled and maintained reliance either on automation or themselves for longer periods of time. Decision making of high-performing participants was using the automation briefly and consistently throughout the driving task. Participants who displayed an early understanding of automation capabilities opted for tactical use. Further exploration of individual differences and automation usage styles will help to understand the optimal human-automation-team dynamic and increase safety and efficacy.

A probabilistic model for interactive decision-making

1999 ◽  
Vol 25 (4) ◽  
pp. 289-308 ◽  
Author(s):  
Pierfrancesco Reverberi ◽  
Maurizio Talamo
Keyword(s):  
Decision Making ◽  
Probabilistic Model ◽  
Interactive Decision Making

Mapping Minimax in the Brain

2014 ◽  
Author(s):  
Ignacio Palacios-Huerta
Keyword(s):  
Decision Making ◽  
Mixed Strategies ◽  
Interactive Decision Making ◽  
Minimax Strategies ◽  
Experimental Subjects ◽  
Competitive Games ◽  
Zero Sum ◽  
Increased Activity ◽  
The Brain

This chapter is concerned with mixed strategies. Using fMRI techniques, it peers inside the brain when experimental subjects play the penalty kick game. As we have noted already, minimax is considered a cornerstone of interactive decision-making analysis. More importantly, the minimax strategies have not been mapped in the brain previously by studying simultaneously the two testable implications of equilibrium. The results show increased activity in various bilateral prefrontal regions during the decision period. Two inferior prefrontal nodes appear to jointly contribute to the ability to optimally play the study's asymmetric zero-sum penalty kick game by ensuring the appropriate equating of payoffs across strategies and the generating of random choices within the game, respectively. This evidence contributes to the neurophysiological literature studying competitive games.

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