High agreeableness in LLM voice assistants increases older adults' empathy perceptions and real-time explanations outperform history-based ones, but personality does not affect perceived intelligence.
Trends in Cognitive Sciences11, 77–83 (2 2007)
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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.
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The Differential Effects of Agreeableness and Extraversion on Older Adults' Perceptions of Conversational AI Explanations in Assistive Settings
High agreeableness in LLM voice assistants increases older adults' empathy perceptions and real-time explanations outperform history-based ones, but personality does not affect perceived intelligence.
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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.