Technology has recently begun to be explored as a way to cope with the challenges related to the aging of the population. However, while many technological systems for older adults have entered the market, the rate of adoption is low despite the potential benefits they intend to provide. The market response suggests that older adults' adoption of technology is not simply a matter of performance and price, but a complex issue that is affected by multiple factors. To address the issue in a more comprehensive way, this review study identifies factors that influence older adults' perceptions and decisions around adoption and use of technology‐enabled products and services with an integration of related findings from various fields. Based on a survey of related studies, 10 factors—value, usability, affordability, accessibility, technical support, social support, emotion, independence, experience, and confidence—are identified as the facilitators or determinants of older adults' adoption of technology. While previous studies have focused on detailed design and physical ease‐of‐use, the 10 factors provide a holistic framework that covers social contexts of use and delivery and communication channels as well as individual characteristics and technical features. This paper describes the factors with empirical evidence and design implications. The goal of this paper is to provide a base for a more comprehensive understanding of older adults as users and consumers of technology; to inform designers, developers, and managers about practical implications; and to set a research agenda for future studies in related fields.

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Self‐driving vehicles will affect the future of transportation, but factors that underlie perception and acceptance of self‐driving cars are yet unclear. Research on feelings as information and the affect heuristic has suggested that feelings are an important source of information, especially in situations of complexity and uncertainty. In this study (N = 1,484), we investigated how feelings related to traditional driving affect risk perception, benefit perception, and trust related to self‐driving cars as well as people's acceptance of the technology. Due to limited experiences with and knowledge of self‐driving cars, we expected that feelings related to a similar experience, namely, driving regular cars, would influence judgments of self‐driving cars. Our results support this assumption. While positive feelings of enjoyment predicted higher benefit perception and trust, negative affect predicted higher risk and higher benefit perception of self‐driving cars. Feelings of control were inversely related to risk and benefit perception, which is in line with research on the affect heuristic. Furthermore, negative affect was an important source of information for judgments of use and acceptance. Interest in using a self‐driving car was also predicted by lower risk perception, higher benefit perception, and higher levels of trust in the technology. Although people's individual experiences with advanced vehicle technologies and knowledge were associated with perceptions and acceptance, many simply have never been exposed to the technology and know little about it. In the absence of this experience or knowledge, all that is left is the knowledge, experience, and feelings they have related to regular driving.