Lasso and Ridge regression on UTAUT2 survey data identifies performance expectancy, social influence, and hedonic motivation as strongest predictors of intention to use home robots, plus usability, trust, and competence as promising additions.
Communications of the ACM61, 42–44 (2018)
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Astro, I'm Home! Investigating Factors that Influence the Acceptance of Home Robots Using Supervised Machine Learning
Lasso and Ridge regression on UTAUT2 survey data identifies performance expectancy, social influence, and hedonic motivation as strongest predictors of intention to use home robots, plus usability, trust, and competence as promising additions.