Abstract Objective Generative artificial intelligence (GenAI) could be used to write text message content in physical activity behavior change interventions for middle-aged and older adults. Yet, biases in GenAI systems could lead to culturally insensitive or low-quality messages. Evaluating the acceptability of GenAI-authored messages is crucial before use in interventions. This research examined middle-aged and older adults’ perceptions of the cultural sensitivity and quality of GenAI-authored messages for promoting physical activity, and the person- and message-level factors influencing these perceptions. Methods In a cross-sectional survey, middle-aged and older adults (≥ 40 years of age; N = 630; Mean age = 56.8 years; SD = 10.1) read 80 text messages written by GenAI and identified those that were culturally insensitive or had other problems. Descriptive statistics identified the proportion of GenAI-authored messages labeled as having issues. Separate negative binomial regressions examined the participant (zero-inflated) and message factors associated with message issues. Results Of 49,859 cultural sensitivity and 49,894 quality message ratings, only 4.9% and 6.1% of the messages, respectively, were labeled as having issues. Knowledge of AI-authorship and more favorable attitudes towards AI were associated with identifying more messages as culturally insensitive. Messages generated by prompts that targeted sitting less (compared to moving more) or that described preparing for activity (compared to performing physical activity) received more labels as containing quality issues. Discussion GenAI can be prompted to write high-quality, culturally sensitive text messages for promoting physical activity for middle-aged and older adults. Message content and participants’ knowledge of AI use could influence perceptions.
Tabaczynski et al. (Fri,) studied this question.