Challenges of human–machine collaboration in risky decision-making |
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Authors: | Wei XIONG Hongmiao FAN Liang MA Chen WANG |
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Affiliation: | Laboratory of Enhanced Human–Machine Collaborative Decision-Making, Department of Industrial Engineering, Tsinghua University, Beijing 100084, China |
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Abstract: | The purpose of this paper is to delineate the research challenges of human–machine collaboration in risky decision-making. Technological advances in machine intelligence have enabled a growing number of applications in human–machine collaborative decision-making. Therefore, it is desirable to achieve superior performance by fully leveraging human and machine capabilities. In risky decision-making, a human decision-maker is vulnerable to cognitive biases when judging the possible outcomes of a risky event, whereas a machine decision-maker cannot handle new and dynamic contexts with incomplete information well. We first summarize features of risky decision-making and possible biases of human decision-makers therein. Then, we argue the necessity and urgency of advancing human–machine collaboration in risky decision-making. Afterward, we review the literature on human–machine collaboration in a general decision context, from the perspectives of human–machine organization, relationship, and collaboration. Lastly, we propose challenges of enhancing human–machine communication and teamwork in risky decision-making, followed by future research avenues. |
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Keywords: | human–machine collaboration risky decision-making human–machine team and interaction task allocation human–machine relationship |
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