Wendy A. Rogers

TL;DR: This article found that older adults were less likely than younger adults to use technology in general, computers, and the World Wide Web, and that computer anxiety, fluid intelligence, and crystallized intelligence were important predictors of the use of technology.

TL;DR: The 2019 Richard M. Kalish Innovative Publication Book Award 2019 as discussed by the authors provides easily accessible and usable guidelines for practitioners in the design community for older adults, including an updated overview of the demographic characteristics of older adult populations and the scientific knowledge base of the aging process relevant to design.

TL;DR: These results contradict stereotypes that older adults are afraid or unwilling to use technology, and highlight the importance of perceived benefits of use and ease of use for models of technology acceptance.

TL;DR: Findings indicate that the older adults were less likely than younger adults to use technology in general, computers, and the World Wide Web and the relationship between age and adoption of technology was mediated by cognitive abilities, computer self-efficacy, and computer anxiety.

TL;DR: This framework proposes a process for determining a robot's autonomy level by categorizing autonomy along a 10-point taxonomy and considering HRI variables (e.g., acceptance, situation awareness, reliability) that may be influenced by the LORA.