From Forced to Voluntary AI Adoption

Cao, Xinyu; Zhang, Dennis

doi:10.2139/ssrn.3640862

Cited by 2 publications

(1 citation statement)

References 60 publications

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“…Regarding familiarity with AI, there is less evidence: Karkantis (2020) showed that prior AI use affects participants' willingness to take up AI therapy. Cao and Zhang (2020) found that salespeople who had to use AI during the study showed increased AI usage afterward. Previous DRIVERS OF AI USE INTENTION OVER DIFFERENT CONTEXTS research often relates familiarity with technology as an antecedent of trust in that technology (Alraja et al, 2019;Komiak & Benbasat, 2006).…”

Section: Trust In and Familiarity With Aimentioning

confidence: 91%

What Predicts AI Usage? Investigating the Main Drivers of AI Use Intention over Different Contexts

Potinteu¹,

Renftle²,

Said³

2023

Preprint

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Artificial Intelligence (AI) based applications are an ever-expanding field, with an increasing number of sectors deploying this technology. While previous research has focused on trust in AI applications or familiarity as predictors for AI usage, we aim to expand current research by investigating the influence of knowledge as well as AI risk and opportunity perception as possible predictors for AI usage. To this end, we conducted a study (N= 450, representative for age and gender) covering a broad number of domains (health, eldercare, driving, data processing, and art), assessing well-established variables in AI research (trust, familiarity) as well as knowledge about AI and risk and opportunity assessment. We further investigated the influence of AI use related ratings on AI usage. Results show that the newly investigated variables best predict overall intention to use, above and beyond trust and familiarity. Higher AI-related knowledge, more positive use related ratings, and lower risk perception significantly predict general AI use intention, with a similar trend emerging for domain-specific AI use intention. These findings highlight the relevance of knowledge, risk and opportunity assessment, and use related ratings, in understanding laypeople’s intention to use AI-based applications and open a new roster of research questions in understanding people’s AI use behavior intentions and their perception of AI.

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Section: Trust In and Familiarity With Aimentioning

confidence: 91%