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Full-Text Articles in Experimental Analysis of Behavior
Responses To Covid-19 Threats: An Evolutionary Psychological Analysis., Stephen M. Colarelli, Tyler J. Mirando, Kyunghee Han, Norman P. Li, Carter Vespi, Katherine A. Klein, Charles P. Fales
Responses To Covid-19 Threats: An Evolutionary Psychological Analysis., Stephen M. Colarelli, Tyler J. Mirando, Kyunghee Han, Norman P. Li, Carter Vespi, Katherine A. Klein, Charles P. Fales
Research Collection School of Social Sciences
Responses to COVID-19 public health interventions have been lukewarm. For example, only 64% of the US population has received at least two vaccinations. Because most public health interventions require people to behave in ways that are evolutionarily novel, evolutionary psychological theory and research on mismatch theory, the behavioral immune system, and individual differences can help us gain a better understanding of how people respond to public health information. Primary sources of threat information during the pandemic (particularly in early phases) were geographic differences in morbidity and mortality statistics. We argue that people are unlikely to respond to this type of …
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 …