Abstract
This article reports on two user studies exploring the knowledge of end users about technical processes of technology-enhanced home environments, which are often assumed to play an important role for attitudes such as privacy and security. In the first study (n=12 participants between 19-71 years of age), we analyzed user knowledge about technical processes using the teach-back methodology. In the second study, we additionally applied new developed questionnaires and analyzed participants' data (n=24 participants between 19-76 years of age) regarding relations of user factors, users' knowledge about technical processes and attitudes such as privacy and security of technology-enhanced environments. In contrast to existing assumptions, the results showed that general structural knowledge about technical processes was not related with attitudes such as privacy and security. Additionally, we found that most participants had only relatively superficial knowledge about technical processes, which was further influenced by age and technology experience.
Highlights
Increasing life expectancies and decreasing birthrates in most industrialized countries [1] lead to a constantly growing interest in technology-enhanced environments for providing medical services
This article aimed at getting a better understanding about the technical knowledge of end users regarding technology-enhanced home environments and individual user factors, as knowledge structures play an important role for the perception of privacy and security concerns
We start this section by discussing mental models represented as knowledge about technical processes in a general way
Summary
Increasing life expectancies and decreasing birthrates in most industrialized countries [1] lead to a constantly growing interest in technology-enhanced environments for providing medical services. Technology-enhanced environments combine information, communication and medical engineering technologies [4] to provide a wide range of healthcare concepts for supporting and assisting people in their everyday life [5], e.g., monitoring of vital parameters via wireless technologies in the living room. They do offer assistance in sustaining autonomy and quality of life of older adults [2]. Considering these potential privacy and security concerns it is crucial to gain broader insights into underlying determinants by analyzing the mental models of individual users
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