0000000000206928
AUTHOR
Christian T. Elbæk
showing 2 related works from this author
Masculine (Low) Digit Ratios Predict Masculine Food Choices in Hungry Consumers
2021
Abstract This study investigated the link between individuals’ 2D:4D digit ratio (a biomarker associated with prenatal testosterone exposure) and their inclination to make masculine food choices. Furthermore, the study investigated whether this potential association would be moderated by consumers’ levels of hunger (vs. satiation). Participants (N = 216; 50% female) made a set of binary food choices between items pretested to be perceived as masculine (vs. feminine) and indicated the lengths of their second (2D) and fourth (4D) digits (i.e., index and ring fingers), which were used to calculate their 2D:4D digit ratios. Additionally, they self-reported their self-perceived gender identity a…
Drivers and Social Implications of Artificial Intelligence Adoption in Healthcare during the COVID-19 Pandemic
2021
The COVID-19 pandemic continues to impact people worldwide–steadily depleting scarce resources in healthcare. Medical Artificial Intelligence (AI) promises a much-needed relief but only if the technology gets adopted at scale. The present research investigates people’s intention to adopt medical AI as well as the drivers of this adoption in a representative study of two European countries (Denmark and France,N= 1068) during the initial phase of the COVID-19 pandemic. Results reveal AI aversion; only 1 of 10 individuals choose medical AI over human physicians in a hypothetical triage-phase of COVID-19 pre-hospital entrance. Key predictors of medical AI adoption are people’s trust in medical …