Technology in general, and assistive technology in particular, is considered to be a promising opportunity to address the challenges of an aging population. Nevertheless, in health care, technology is not as widely used as could be expected. In this chapter, an overview is given of theories and models that help to understand this phenomenon. First, the design of (assistive) technologies will be addressed and the importance of human-centered design in the development of new assistive devices will be discussed. Also theories and models are addressed about technology acceptance in general. Specific attention will be given to technology acceptance in healthcare professionals, and the implementation of technology within healthcare organizations. The chapter will be based on the state of the art of scientific literature and will be illustrated with examples from our research in daily practice considering the different perspectives of involved stakeholders.
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The temporal dimension of acceptance is under-researched in technology acceptance research. Yet, people’s perceptions on technology use may change over time when gaining user experiences. Our 6-month home study deploying an interactive robot provides insight into the long-term use of use interactive technology in a domestic environment. We present a phased framework for the acceptance of interactive technology in domestic environments. Based on 97 interviews obtained from 21 participants living in different household types, the results provide an initial validation of our phased framework for long-term acceptance showing that acceptance phases are linked to certain user experiences which evolve over time when people gain experience with the technology. Involving end users in the early stages of development helps researchers understand the cultural and social contexts of acceptance and enables developers to apply this gained knowledge into their future designs.
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The effectiveness of smart home technology in home care situations depends on the acceptance and use of the technology by both users and end-users. In the Netherlands many projects have started to introduce smart home technology and telecare in the homes of elderly people, but only some have been successful. In this paper, features for success and failure in the deployment of new (ICT) technology in home care are used to revise the technology acceptance model (TAM) into a model that explains the use of smart home and telecare technology by older adults. In the revised model we make the variable 'usefulness' more specific, by describing the benefits of the technology that are expected to positively affect technology usage. Additionally, we state that several moderator variables - that are expected to influence this effect - should be added to the model in order to explain why people eventually do (not) use smart home technology, despite the benefits and the intention to use. We categorize these variables, that represent the problems found in previous studies, in 'accessibility', 'facilitating conditions' and 'personal variables'.
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Despite its potential, the acceptance of technology to support the ability to live independently in one’s own home, also called aging in place, is not optimal. Family members may play a key role in technology acceptance by older adults; however, it is not well understood why and how they exert influence. Based on open interviews with 53 community-dwelling older adults, this paper describes the influence of family members, including spouses, on the use of various types of consumer electronics by older adults as was reported by themselves. Such a broad focus enables understanding the use of technology as was reported by older adults, instead of its intended use. Our study reveals that the influence of each family member has its own characteristics. The influence of technology acceptance is a natural and coincidental part of the interaction with spouses and grandchildren in which entertainment and pleasure are prominent. This is also partly true for the influence of children, but their influence also is intentional and driven by concerns. Our study indicates the importance of including all family members when implementing technology in the lives of older adults. Besides information for children about the use(fullness) of devices, it is worthwhile to give grandchildren an important role, because older adults easily adopt their enthusiasm and it might eventually lighten the burden on children.
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Advanced technology is a primary solution for the shortage of care professionals and increasing demand for care, and thus acceptance of such technology is paramount. This study investigates factors that increase use of advanced technology during elderly care, focusing on current use of advanced technology, factors that influence its use, and care professionals’ experiences with the use. This study uses a mixed-method design. Logfiles were used (longitudinal design) to determine current use of advanced technology, questionnaires assessed which factors increase such use, and in-depth interviews were administered to retrieve care professionals’ experiences. Findings suggest that 73% of care professionals use advanced technology, such as camera monitoring, and consult clients’ records electronically. Six of nine hypotheses tested in this study were supported, with correlations strongest between performance expectancy and attitudes toward use, attitudes toward use and satisfaction, and effort expectancy and performance expectancy. Suggested improvements for advanced technology include expanding client information, adding report functionality, solving log-in problems, and increasing speed. Moreover, the quickest way to increase acceptance is by improving performance expectancy. Care professionals scored performance expectancy of advanced technology lowest, though it had the strongest effect on attitudes toward the technology.
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Purpose: To provide an overview of factors influencing the acceptance of electronic tech-nologies that support aging in place by community-dwelling older adults. Since technologyacceptance factors fluctuate over time, a distinction was made between factors in the pre-implementation stage and factors in the post-implementation stage. Methods: A systematic review of mixed studies. Seven major scientific databases (includingMEDLINE, Scopus and CINAHL) were searched. Inclusion criteria were as follows: (1) originaland peer-reviewed research, (2) qualitative, quantitative or mixed methods research, (3)research in which participants are community-dwelling older adults aged 60 years or older,and (4) research aimed at investigating factors that influence the intention to use or theactual use of electronic technology for aging in place. Three researchers each read the articlesand extracted factors. Results: Sixteen out of 2841 articles were included. Most articles investigated acceptance oftechnology that enhances safety or provides social interaction. The majority of data wasbased on qualitative research investigating factors in the pre-implementation stage. Accep-tance in this stage is influenced by 27 factors, divided into six themes: concerns regardingtechnology (e.g., high cost, privacy implications and usability factors); expected benefits oftechnology (e.g., increased safety and perceived usefulness); need for technology (e.g., per-ceived need and subjective health status); alternatives to technology (e.g., help by family orspouse), social influence (e.g., influence of family, friends and professional caregivers); andcharacteristics of older adults (e.g., desire to age in place). When comparing these results to qualitative results on post-implementation acceptance, our analysis showed that some factors are persistent while new factors also emerge. Quantitative results showed that a small number of variables have a significant influence in the pre-implementation stage. Fourteen out of the sixteen included articles did not use an existing technology acceptance framework or model. Conclusions: Acceptance of technology in the pre-implementation stage is influenced by multiple factors. However, post-implementation research on technology acceptance by community-dwelling older adults is scarce and most of the factors in this review have not been tested by using quantitative methods. Further research is needed to determine if and how the factors in this review are interrelated, and how they relate to existing models of technology acceptance.
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Keywords: technology adoption; telecare systems; user acceptance; quality of experience
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For further development of technologies but also for the implementation in real life contexts, it is important to understand users' perspectives on the anticipated use of innovative technologies in an early development phase. In addition, it is also important to get a better understanding of the explanation of this behavior towards technology use in later stages. Although Head Mounted Displays (HMDs) are not really new anymore, the uptake has been slow so far and people showed some extreme reactions. The objective of this study was to analyze the content of YouTube comments on videos of HMDs, in order to get a better understanding of relevant factors in this early phase of potential acceptance of HMDs. We analyzed 379 YouTube comments on HMDs using content analysis. Comments were divided into three groups: HMD, video, and miscellaneous. Comments about HMDs n=24 were further analyzed. Most of the commenters showed a positive attitude to HMDs. Within the positive attitude, the most expressed themes were comments about the type of use (gaming), positive evaluations (emotions, coolness) and perceived need for an HMD. Within the negative attitudes, negative evaluations (judgments, emotions) were showed most and negative comparisons to other products were made. In neutral attitudes, the main theme was the type of use (gaming). The results specify a couple of user needs and social norms and values which people attach in this early phase to HMDs. In this early phase of acceptance, some early adoption observations were found as in when someone talks about the type of use (felt needs) and positive judgments (social norms). Early signs of rejection were found by negative judgments (social norms) and comparisons with other products (previous practice).
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Expectations are high with regards to smart home technology. In particular, smart home technology is expected to support or enable independent living by older adults. This raises the question: can smart home technology contribute to independent living, according to older adults themselves? This chapter aims to answer this question by reviewing and discussing older adults’ perspectives on independence and their views on smart home technology. Firstly, older adults’ opinions on independence and aging in place are discussed. Secondly, this chapter will review to what extent smart home technology can support older adults’ independence. Thirdly, it will be explained how community-dwelling older adults’ concept of independence entails three distinct types or modes, and how these modes are related to their perceptions and acceptance of technology. In the last section of this chapter, an overview of key points is presented, and recommendations for technology designers, policy makers, and care providers are postulated.
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This article delves into the acceptance of autonomous driving within society and its implications for the automotive insurance sector. The research encompasses two different studies conducted with meticulous analysis. The first study involves over 600 participants involved with the automotive industry who have not yet had the opportunity to experience autonomous driving technology. It primarily centers on the adaptation of insurance products to align with the imminent implementation of this technology. The second study is directed at individuals who have had the opportunity to test an autonomous driving platform first-hand. Specifically, it examines users’ experiences after conducting test drives on public roads using an autonomous research platform jointly developed by MAPFRE, Universidad Carlos III de Madrid, and Universidad Politécnica de Madrid. The study conducted demonstrates that the user acceptance of autonomous driving technology significantly increases after firsthand experience with a real autonomous car. This finding underscores the importance of bringing autonomous driving technology closer to end-users in order to improve societal perception. Furthermore, the results provide valuable insights for industry stakeholders seeking to navigate the market as autonomous driving technology slowly becomes an integral part of commercial vehicles. The findings reveal that a substantial majority (96% of the surveyed individuals) believe that autonomous vehicles will still require insurance. Additionally, 90% of respondents express the opinion that policies for autonomous vehicles should be as affordable or even cheaper than those for traditional vehicles. This suggests that people may not be fully aware of the significant costs associated with the systems enabling autonomous driving when considering their insurance needs, which puts the spotlight back on the importance of bringing this technology closer to the general public.
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