Abstract--The rapid development of automation has led to machines increasingly taking over tasks previously reserved for human operators, especially those involving high-risk settings and moral decision making. To best benefit from the advantages of automation, these systems must be integrated into work environments, and into society as a whole. Successful integration requires understanding how users gain acceptance of technology by learning to trust in its reliability. It is thus essential to examine factors that influence the integration, acceptance, and use of automated technologies. As such, this study investigated the conditions under which human operators were willing to relinquish control,, and delegate tasks to automated agents by examining risk and context factors experimentally. In a decision task, participants (N=43, 27 female) were placed in different situations in which they could choose to delegate a task to an automated agent or manual execution. The results of our experiment indicated that both, context, and risk, significantly influenced people's decisions. While it was unsurprising that the reliability of an automated agent seemed to strongly influence trust in automation, the different types of decision support systems did not appear to impact participant compliance. Our findings suggest that contextual factors should be taken into accountconsidered when designing automated systems that navigate moral norms and individual preferences.

In order to preserve the quality of life especially in rural communities, new mobility concepts have to be developed. Autonomous vehicles present a promising and cutting-edge technology. This study was conducted with rural citizens in Germany to gain an understanding of what services and missing infrastructure could possibly be provided by the use of autonomous busses. With an online questionnaire, N = 112 datasets were collected that surveyed among other aspects the perception of autonomous busses and the possible deployment in their region. It was found that the delivery of goods and using it themselves was preferred to the transport of family members. Furthermore, the main obstacle is the still immature technology and a lack of legal guidelines. The results are an important first step to introduce the technology in the future and offers necessary insights developers and different stakeholders.

Keywords: Autonomous busses,Human factors,Rural mobility,Technology acceptance

Digitalization is changing the working world of tomorrow and complex decisions are increasingly being made by hybrid teams of people and automated decision support systems. The interaction of user, task, and interface plays a decisive role, but is insufficiently studied, especially in the context of decision making under uncertainty, risk, and moral dilemmas. In this article, we present a web-based research framework for exploring this factor space with empirical user studies. The framework builds on a combination of tools for linking a user model, with the outcome of game-based decision scenarios, and the participants' evaluations. To validate the framework, we conducted a user study with N = 64 participants and found that the system responded sensitively to factors from each of the three areas user, task, and interface. Consequently, the framework facilitates the systematic investigation of the factor space, the identification and quantification of relevant factors and the description of interactions between the factors. A systematic understanding of these factors is necessary for the development of future joint cognitive systems and Decision Support Systems.

Keywords: Decision support systems,Human factors,Industrial internet,Moral dilemma,Moral machines,Risk perception,Trust in automation,User modeling