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.
In: 32nd IEEE International Conference on Robot & Human Interactive Communication (RO-MAN), SCRITA Workshop on Trust, Acceptance and Social Cues in Human-Robot Interaction (2023)
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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.