ABSTRACT
This study examined the feasibility of using tailored text messages to promote adherence to longitudinal protocols and determined what facets of text message tone influence motivation. Forty-three older adults (Mage = 73.21, SD = 5.37) were recruited to engage in video-game-based cognitive training for 10 consecutive days. Participants received encouraging text messages each morning that matched their highest or lowest ranking reasons for participating in the study, after which they rated how effective each message was in motivating them to play the games that day. After 10 days, participants rated all possible messages and participated in semi-structured interviews to elicit their preferences for these messages. Results showed that messages matching participants' reasons for participating were more motivating than mismatched messages. Further, participants preferred messages that were personalized (i.e., use second person voice) and in formal tones. Messages consistent with these preferences were also rated as more motivating. These findings establish the feasibility of using message tailoring to promote adherence to longitudinal protocols and the relevance of tailoring messages to be personal and formal.
ABSTRACT
Background and Objectives: Virtual reality (VR) applications are increasingly being targeted toward older adults as a means to maintain physical and cognitive skills and to connect with others, especially during the coronavirus disease 2019 era. Our knowledge about how older adults interact with VR is limited, however, since this is an emerging area and the related research literature is still rather slim. The current study focused specifically on older adults' reactions to a social-VR environment, examining participant's views about the possibility of meaningful interactions in this format, the impacts of social-VR immersion on mood and attitude, and features of the VR environment that affected these outcomes. Research Design and Methods: The researchers designed a novel social-VR environment with features intended to prompt conversation and collaborative problem-solving among older adults. Participants were recruited from 3 diverse geographic locations (Tallahassee, FL; Ithaca, NY; and New York City, NY), and were randomly assigned to a partner from one of the other sites for social-VR interaction. The sample consisted of 36 individuals aged 60 and older. Results: Reactions to the social VR were quite positive. Older adults reported high levels of engagement in the environment and perceived the social VR to be enjoyable and usable. Perceived spatial presence was found to be a central driver of positive outcomes. A majority of the participants indicated a willingness to reconnect with their VR partner in the future. The data also identified important areas for improvement that were of concern to older adults, such as the use of more realistic avatars, larger controllers more suited to aging hands, and more time for training/familiarization. Discussion and Implications: Overall, these findings suggest that VR can be an effective format for social engagement among older adults.
ABSTRACT
BACKGROUND AND OBJECTIVES: Study recruitment and retention of older adults in research studies is a major challenge. Enhancing understanding of individual differences in motivations to participate, and predictors of motivators, can serve the dual aims of facilitating the recruitment and retention of older adults, benefiting study validity, economy, and power. RESEARCH DESIGN AND METHODS: Older adults (N = 472) past and potential participants were surveyed about motivations to participate in research, demographic, and individual difference measures (e.g., health status, cognitive difficulties). Latent class and clustering analyses explored motivation typologies, followed by regression models predicting individual motivators and typologies. RESULTS: Older adults endorsed a diversity of research motivations, some of which could be predicted by individual difference measures (e.g., older participants were more motivated by the desire to learn new technology, participants without a college education were more motivated by financial compensation, and participants with greater self-reported cognitive problems were more likely to participate to gain cognitive benefit). Clustering analysis revealed 4 motivation typologies: brain health advocates, research helpers, fun seekers, and multiple motivation enthusiasts. Cognitive difficulties, age, employment status, and previous participation predicted membership in these categories. DISCUSSION AND IMPLICATIONS: Results provide an understanding of different participant motivations beyond differences between younger and older adults and begin to identify different classes of older adults motivated to participate in research studies. Results can provide guidance for targeted recruitment and retention strategies based on individual differences in stated or predicted motivations.
