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Privacy-preserving data markets are one approach to restore users’ online privacy and informational self-determination and to build reliable data markets for companies and research. We empirically analyze internet users’ preferences for privacy in data sharing, combining qualitative and quantitative empirical methods. Study I aimed at uncovering users’ mental models of privacy and preferences for data sharing. Study II quantified and confirmed motives, barriers, and conditions for privacy in data markets. Finally, in a conjoint study, trade-offs between decisive attributes that shape the decision to share data are analyzed. Additionally, differences between user groups with high and with low privacy concerns are observed. The results show that the anonymization level has the greatest impact on the willingness to share data, followed by the type of data. Users with higher privacy concerns are less willing to share data in data markets and want more privacy protection. The results contribute to an understanding of how privacy-preserving data markets could be designed to suit users’ preferences.

ChatGPT is a powerful language model from OpenAI that is arguably able to comprehend and generate text. ChatGPT is expected to greatly impact society, research, and education. An essential step to understand ChatGPT’s expected impact is to study its domain-specific answering capabilities. Here, we perform a systematic empirical assessment of its abilities to answer questions across the natural science and engineering domains. We collected 594 questions on natural science and engineering topics from 198 faculty members across five faculties at Delft University of Technology. After collecting the answers from ChatGPT, the participants assessed the quality of the answers using a systematic scheme. Our results show that the answers from ChatGPT are, on average, perceived as “mostly correct”. Two major trends are that the rating of the ChatGPT answers significantly decreases (i) as the educational level of the question increases and (ii) as we evaluate skills beyond scientific knowledge, e.g., critical attitude.

An aged population, increasing care needs, and a lack of (in)formal caregivers represent major challenges for our society today. Addressing these challenges fuels efforts and developments in innovative technologies leading to various existing AAL applications aiming at improving autonomy, independence, and security in older age. Here, the usage of video-based AAL technologies is promising as detailed information can be obtained and analyzed. Simultaneously, this type of technology is strongly connected with privacy concerns due to fears of unauthorized data access or inappropriate use of recorded data potentially resulting in rejection and non-use of the applications. As privacy-preserving visualizations of video data can diminish those concerns, this empirical study examines the acceptance and privacy perceptions of video-based AAL technology applying different visualization modes for privacy preservation (n = 161). These visualization modes differed in their degrees of visibility and identifiability, covering different levels of privacy preservation (low level: “Blurred” mode; medium level: “Pixel” and “Grey” modes; high level: “Avatar” mode) and are specifically evaluated based on realistic video sequences. The results of our study indicate a rather low acceptance of video-based AAL technology in general. From the diverse visualization modes, the “Avatar” mode is most preferred as it is perceived as best suitable to protect and preserve the users’ privacy. Beyond that, distinct clusters of future users were identified differing in their technology evaluation as well as in individual characteristics (i.e., privacy perception, technology commitment). The findings support the understanding of potential users’ needs for a successful future design, development, and implementation of video-based, but still privacy-preserving AAL technology.

Background Replacing diesel and gasoline in combustion engines with fuels from renewable resources can reduce emissions in the transport sector. This study investigated public perceptions of alternative fuels to reveal potential adoption drivers and barriers for a successful introduction in road transport. Results The findings point towards a high acceptance of alternative fuels in road transport. Benefits for the environment and drivers were acknowledged, whereas barrier perceptions were comparably low. The acceptance of alternative fuels was affected by perceived environmental benefits and environment-related attitudes. Higher environmental awareness and perceived responsibility for environmental problems were related to higher acceptance, higher benefit perceptions, and lower barrier ratings. Conclusions Considering the key finding that environment-related attitudes and the perception of environmental benefits were factors positively impacting the acceptance of alternative fuels, communication concepts should be designed to inform transparently and comprehensibly about the environmental effects of alternative fuels. Where applicable and possible, fuel design should reduce user-perceived barriers—such as high costs and infrastructure incompatibility. Policy making should furthermore support planning security via long-term framework design in order to enable heightened fuel adoption and positive climatic impacts of alternative fuels.

Aims Although ambient assisted living (AAL) environments and serious games for healthcare have been proposed as solutions to meet the changing demographics, the two approaches are rarely combined. We present the development and empirical evaluation of two serious games for healthcare in AAL. The first uses a cooking scenario for training of cognitive functioning. The latter uses a gardening scenario and motion capture for training agility and endurance. As the frequent lack of social acceptance is a major challenge in consumer health technology, we integrated methods of technology acceptance research by means of the UTAUT2-model and intention to use into the evaluation. Subject and methods We developed both games utilizing user-centered and participatory design methods ranging from low-fidelity paper prototypes to usability and acceptance evaluations of functional prototypes. In the final evaluation, each game prototype was evaluated by 64 participants form different age groups. Results The results show that although performance decreases with age, the performance attained in the games is not decisive for social acceptance measured as intention to use. However, user diversity factors shape the evaluation of the games, and older people and people with low technical competence are in danger of being excluded from using serious games for healthcare. Conclusion Exercise games, if designed right, can mitigate the negative effects of demographic change. Nevertheless, user diversity needs must be considered to ensure that the games are usable and used by a broad audience. The article concludes with guidelines and open research questions for the design of serious games in AAL environments.

Diverse sensor-based technologies can be used to track (older and frail) people’s movements and behaviors in order to detect anomalies and emergencies. Using several ambient sensors and integrating them into an assisting ambient system allows for the early identification of emergency situations and health-related changes. Typical examples are passive infrared sensors (PIR), humidity and temperature sensors (H&T) as well as magnetic sensors (MAG). So far, it is not known whether and to what extent these three specific sensor types are perceived and accepted differently by future users. Therefore, the present study analyzed the perception of benefits and barriers as well as acceptance of these specific sensor-based technologies using an online survey (reaching N=312 German participants). The results show technology-related differences, especially regarding the perception of benefits. Furthermore, the participants estimated the costs of these sensors to be higher than they are, but at the same time showed a relatively high willingness to pay for the implementation of sensor-based technologies in their home environment. The results enable the derivation of guidelines for both the technical development and the communication and information of assisting sensor-based technologies and systems.

Background Alternative fuels made from biomass or CO 2 and water using renewable energy can reduce CO 2 and pollutant emissions compared to fossil-based mobility and thus support a transition to a more sustainable transport. The adoption of alternative fuels in transport will ultimately depend on public acceptance and drivers’ willingness to use them. Little is known if and under which circumstances people would accept alternative fuels and which narratives and cognitive beliefs might underlie these usage intentions. Moreover, it is unclear if and how laypeople distinguish between different alternative fuel types in their perceptions, e.g., between fuels made from biomass (biofuels) and fuels produced using electricity (e-fuels). To address the research gap, this study empirically investigated laypeople’s beliefs and expectations towards alternative fuels and preferences for different fuel types. Understanding preferences for fuel types could help in steering public information, support managerial decisions and communication pathways, and promote the roll-out process of fuel innovations. Results Laypeople expected alternative fuels to be made using renewable feedstocks and to not contain gasoline or diesel. Whereas alternative fuels were believed to have advantages concerning environmental and toxic effects and safety compared to diesel and gasoline, they were associated with practical disadvantages for drivers. It was shown that although e-fuels and biofuels both fall under the definition of ”alternative fuels”, laypeople distinguish between them in evaluations of safety, costs, and resource competitiveness: E-fuels were preferred over biofuels and believed to have a lower competition for resources than biofuels. They were also evaluated to be more expensive and comparably less safe to use. Moreover, different adopter groups were identified for both fuels. Conclusions The study has highlighted both adoption drivers and barriers for alternative fuels: Reduced environmental impact could be an important positive factor. In contrast, drawbacks feared by laypeople regarding a low range and an expensive fuel price could be barriers for alternative fuel adoption because they reflect current technical challenges for these fuels. Thus, a more cost-efficient production and higher fuel efficiency should be considered in an acceptance-optimized alternative fuel production.

Background Healthcare systems face substantial challenges due to the growing number of elderly people in need of care and the shortage of nursing staff. As a result, it is difficult to provide timely and appropriate healthcare. One potential solution could be the use of telemedicine. However, care personnel’s acceptance of the use of telemedicine is often a challenge. The aim of this systematic review is to determine the status quo of acceptance of telemedicine, provide an overview of motivators and barriers associated with the use of telemedicine, and identify factors predicting acceptance of telemedicine among care personnel working in elderly care. Methods An electronic search was conducted in MEDLINE, PsycInfo, and Embase, supplemented by a hand search. Articles were identified based on predefined inclusion and exclusion criteria. Study characteristics and relevant results were extracted. The methodological quality of the included studies was assessed using the Quality Assessment with Diverse Studies tool. Results A total of 16 studies were considered eligible for inclusion. Overall, the included studies highlighted positive attitudes of care personnel towards telemedical applications in inpatient and outpatient elderly care, but also showed some critical views and ambivalent opinions about these types of care. As part of that, several motivators and barriers concerning telemedicine were identified. Motivators and barriers referred to general, organizational, personnel-related, patient-related, family-related, and technology-related aspects. Notably, there were more motivators than barriers in all included studies taken together. Few studies investigated factors influencing care personnel’s acceptance of telemedicine in depth, although there is some evidence that demographic characteristics impact the acceptance of telemedical applications. Conclusions The results of this systematic review indicate that the acceptance of telemedicine among care personnel is positive overall. A range of motivators has been identified, highlighting the perceived potential of telemedicine to meet current challenges in elderly care. However, some challenges remain. In order to realize the full potential of telemedicine in elderly care, it is necessary to address the identified barriers.

The aging society posits new socioeconomic challenges to which a potential solution is active and assisted living (AAL) technologies. Visual-based sensing systems are technologically among the most advantageous forms of AAL technologies in providing health and social care; however, they come at the risk of violating rights to privacy. With the immersion of video-based technologies, privacy-preserving smart solutions are being developed; however, the user acceptance research about these developments is not yet being systematized. With this scoping review, we aimed to gain an overview of existing studies examining the viewpoints of older adults and/or their caregivers on technology acceptance and privacy perceptions, specifically toward video-based AAL technology. A total of 22 studies were identified with a primary focus on user acceptance and privacy attitudes during a literature search of major databases. Methodological quality assessment and thematic analysis of the selected studies were executed and principal findings are summarized. The PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines were followed at every step of this scoping review. Acceptance attitudes toward video-based AAL technologies are rather conditional, and are summarized into five main themes seen from the two end-user perspectives: caregiver and care receiver. With privacy being a major barrier to video-based AAL technologies, security and medical safety were identified as the major benefits across the studies. This review reveals a very low methodological quality of the empirical studies assessing user acceptance of video-based AAL technologies. We propose that more specific and more end user- and real life-targeting research is needed to assess the acceptance of proposed solutions.

Mobile health (mHealth) care apps are a promising technology to monitor and control health individually and cost-effectively with a technology that is widely used, affordable, and ubiquitous in many people's lives. Download statistics show that lifestyle apps are widely used by young and healthy users to improve fitness, nutrition, and more. While this is an important aspect for the prevention of future chronic diseases, the burdened health care systems worldwide may directly profit from the use of therapy apps by those patients already in need of medical treatment and monitoring. We aimed to compare the factors influencing the acceptance of lifestyle and therapy apps to better understand what drives and hinders the use of mHealth apps. We applied the established unified theory of acceptance and use of technology 2 (UTAUT2) technology acceptance model to evaluate mHealth apps via an online questionnaire with 707 German participants. Moreover, trust and privacy concerns were added to the model and, in a between-subject study design, the influence of these predictors on behavioral intention to use apps was compared between lifestyle and therapy apps. The results show that the model only weakly predicted the intention to use mHealth apps (R =0.019). Only hedonic motivation was a significant predictor of behavioral intentions regarding both app types, as determined by path coefficients of the model (lifestyle: 0.196, P=.004; therapy: 0.344, P<.001). Habit influenced the behavioral intention to use lifestyle apps (0.272, P<.001), while social influence (0.185, P<.001) and trust (0.273, P<.001) predicted the intention to use therapy apps. A further exploratory correlation analysis of the relationship between user factors on behavioral intention was calculated. Health app familiarity showed the strongest correlation to the intention to use (r=0.469, P<.001), stressing the importance of experience. Also, age (r=-0.15, P=.004), gender (r=-0.075, P=.048), education level (r=0.088, P=.02), app familiarity (r=0.142, P=.007), digital health literacy (r=0.215, P<.001), privacy disposition (r=-0.194, P>.001), and the propensity to trust apps (r=0.191, P>.001) correlated weakly with behavioral intention to use mHealth apps. The results indicate that, rather than by utilitarian factors like usefulness, mHealth app acceptance is influenced by emotional factors like hedonic motivation and partly by habit, social influence, and trust. Overall, the findings give evidence that for the health care context, new and extended acceptance models need to be developed with an integration of user diversity, especially individuals' prior experience with apps and mHealth.