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The Effects Of Situational And Individual Factors On Algorithm Acceptance In Covid-19-Related Decision-Making: A Preregistered Online Experiment, Sonja Utz, Lara N. Wolfers, Anja S. Göritz
The Effects Of Situational And Individual Factors On Algorithm Acceptance In Covid-19-Related Decision-Making: A Preregistered Online Experiment, Sonja Utz, Lara N. Wolfers, Anja S. Göritz
Human-Machine Communication
In times of the COVID-19 pandemic, difficult decisions such as the distribution of ventilators must be made. For many of these decisions, humans could team up with algorithms; however, people often prefer human decision-makers. We examined the role of situational (morality of the scenario; perspective) and individual factors (need for leadership; conventionalism) for algorithm preference in a preregistered online experiment with German adults (n = 1,127). As expected, algorithm preference was lowest in the most moral-laden scenario. The effect of perspective (i.e., decision-makers vs. decision targets) was only significant in the most moral scenario. Need for leadership predicted a stronger …
Out With The Humans, In With The Machines?: Investigating The Behavioral And Psychological Effects Of Replacing Human Advisors With A Machine, Andrew Prahl, Lyn Van Swol
Out With The Humans, In With The Machines?: Investigating The Behavioral And Psychological Effects Of Replacing Human Advisors With A Machine, Andrew Prahl, Lyn Van Swol
Human-Machine Communication
This study investigates the effects of task demonstrability and replacing a human advisor with a machine advisor. Outcome measures include advice-utilization (trust), the perception of advisors, and decision-maker emotions. Participants were randomly assigned to make a series of forecasts dealing with either humanitarian planning (low demonstrability) or management (high demonstrability). Participants received advice from either a machine advisor only, a human advisor only, or their advisor was replaced with the other type of advisor (human/machine) midway through the experiment. Decision-makers rated human advisors as more expert, more useful, and more similar. Perception effects were strongest when a human advisor was …