Shoshana A Maxwell's research while affiliated with Oregon Health and Science University and other places

... Digital test versions are no different, though they can also potentially introduce unique demographic effects that influence performance . For example, older adults tend to have less computer experience and generally perceive digital technology as more difficult to use than younger adults (Hauk et al., 2018;Lee Meeuw Kjoe et al., 2021;Rabipour & Davidson, 2020;Wild et al., 2012), which may make a digital test battery more challenging or intimidating for older adults (Rabipour & Davidson, 2020;Zygouris & Tsolaki, 2015). Any such differences caused by level of familiarity might very well soon or already be outdated given the speed with which digital technologies continue to pervade most aspects of society for all age groups (Hülür & MacDonald, 2020;Miller & Barr, 2017). ...

... Questions related to perceived usefulness and perceived ease of use were used to assist in understanding stakeholders' preferences regarding technology and identify adaptations that can be made to the robot (ie, the mobile robot, as both concepts may affect stakeholders' attitude toward using the mobile robot, which can then influence their behavioral intention to use the mobile robot and thereafter, affect actual use). We conducted a literature review to understand the types of questions and qualitative themes found in previous research studies relating to mobile telepresence robots as well as other types of robots that have been developed to assist people with ADRD [18][19][20][21][22][23]. On the basis of this literature review, we developed interview questions that focused on domains that we established a priori to help guide our understanding of how stakeholders perceive the mobile robot's usefulness and ease of use: (1) technology use, (2) design and functionality of the robot, (3) future applications to be incorporated into the robot, and (4) overall opinions about the robot. ...

... The AI-ML system can collect complex streams of data in real-time, longitudina l ly track movements, analyze the input, and identify any unusual changes that may suggest the onset of cognitive or functional decline. Using predictive reasoning, the automated analytic system can then intervene by sounding an alert or offering behavioural suggestions in response to what may be subtle declines in function, which a human may otherwise miss 128,134 . As a result, these systems enable a better understanding of the dynamic nature of an older adult's disease progression or functioning 128,135 and can potentially facilitate timely access to appropriate healthcare and prevent serious injuries 136,137 . ...