首页|Challenges of human-machine collaboration in risky decision-making

Challenges of human-machine collaboration in risky decision-making

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  • NSTL
  • Higher Education Press
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.

human-machine collaborationrisky decision-makinghuman-machine team and interactiontask allocationhuman-machine relationshipSITUATION AWARENESSARTIFICIAL-INTELLIGENCETRUST CALIBRATIONINTERFACE DESIGNAUTOMATIONINFORMATIONPERFORMANCEACCEPTANCEAUTONOMYMODEL

Xiong, Wei、Fan, Hongmiao、Ma, Liang、Wang, Chen

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Tsinghua Univ

2022

10.1007/s42524-021-0182-0

Frontiers of Engineering Management

Frontiers of Engineering Management

ESCI
ISSN：2095-7513
年,卷(期)：2022.9(1)
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