Overcoming Consumer Resistance to AI in General Health Care

Abstract

Artificial intelligence (AI) in medicine offers a unique opportunity to improve the global health system. However, consumers remain skeptical about AI's ability to accurately assess their medical condition. The five studies here provide insights into consumers’ reluctance to use AI-produced health care recommendations. Consumers are less willing to follow a medical recommendation from AI (vs. from a human) when the medical diagnosis provides health results that are good (i.e., symptoms do not require medical care) versus bad (i.e., symptoms are worrisome and may require urgent care) (Study 1a). The effect is mediated by consumers’ perception of diagnosis trustworthiness (Study 1b) and enhanced by consumers’ health anxiety score (Study 2). Providing social proof (e.g., number of satisfied customers recommending the service) reduces the negative effect of health anxiety on consumers’ trust in the medical diagnosis and increases their willingness to follow the AI's recommendations (Study 3a). The findings provide insights into the psychological drivers of acceptance of automated health care and suggest possible actions to overcome consumers’ reluctance to follow AI medical recommendations.

Overcoming the blockchain technology credibility gap

“…Thus, our results add to previous research on the individual differences affecting perceived credibility of information (Belanche et al, 2021;Granulo et al, 2021;Leung et al, 2018). Moreover, the results of Study 2b reveal that the above-mentioned effects extend to purchase intentions and actual behavior, as suggested by past research (Baek et al, 2010;Gaczek et al, 2023;Huang et al, 2023).…”

Information Technologies and Consumers’ Well-Being: Latest Research and Future Research Directions

“…In this vein, Raggiotto et al (2023) enrich the literature on problematic internet use, applying the cognitive behavioral model from psychology in the novel consumer context of e-sports. The other articles demonstrate how well-being can be impacted by different types of new technologies, such as smart wearable technologies (Tikkanen, Heinonen, and Ravald 2023), sleep apps (Attie and Meyer-Waarden 2023), AI-produced health care recommendations (Gaczek et al 2023), mobile payment (Yu, Peng, and Wang 2023), contactless technology (Feng and Meng 2023), social networking services (Wilson-Nash, Pavlopoulou, and Wang 2023), parental control software (Egaaied-Gambier, Bertrandias, and Bernard 2023), and video games (Raggiotto and Scarpi 2023). Finally, Lee and Wan (2023) address how technology can improve well-being by promoting healthy eating habits.…”

“…Consumers’ individual differences can play an important role in the relationship between information technologies and consumers’ well-being. Examples of consumers’ individual differences examined in this special issue include consumer's privacy concerns (Attie and Meyer-Waarden 2023; Raggiotto and Scarpi 2023), sanguine versus melancholic personality traits (Attie and Meyer-Waarden 2023), consumers’ anxiety (Gaczek et al 2023), parents’ role overload (Egaaied-Gambier, Bertrandias, and Bernard 2023), consumers’ perceived control over the digital environment (Raggiotto and Scarpi 2023), and consumers’ maturity in terms of age (Raggiotto et al 2023). To extend the set of individual differences, future research could examine additional personality traits (e.g., the “Big Five,” such as introversion/extraversion), privacy-related constructs, attitude, and technology-related variables (e.g., technology anxiety, technology literacy).…”

“…The special issue articles investigate the relationship between information technologies and well-being in relation to specific groups of consumers defined based on their age, such as Generation Z and emerging adults (Attie and Meyer-Waarden 2023; Raggiotto et al 2023; Tuan, Visentin, and Di Domenico 2023) and older consumers (Wilson-Nash, Pavlopoulou, and Wang 2023), and their role in an interpersonal/social context, such as that of parents (Egaaied-Gambier, Bertrandias, and Bernard 2023) and patients (Gaczek et al 2023). Future research should include additional groups of consumers, including very young ones (e.g., Generation Alpha) for which new technologies play a key role in their development, and should continue to investigate more vulnerable and disadvantaged groups (e.g., the elderly).…”

“…Consumers' individual differences can play an important role in the relationship between information technologies and consumers' wellbeing. Examples of consumers' individual differences examined in this special issue include consumer's privacy concerns (Attie and Meyer-Waarden 2023;Raggiotto and Scarpi 2023), sanguine versus melancholic personality traits (Attie and Meyer-Waarden 2023), consumers' anxiety (Gaczek et al 2023), parents' role overload (Egaaied-Gambier, Bertrandias, and Bernard 2023), consumers' perceived control over the digital environment (Raggiotto and Scarpi 2023), and consumers' maturity in terms of age (Raggiotto…”