Biblio

As autonomous service robots will become increasingly ubiquitous in our daily lives, human-robot conflicts will become more likely when humans and robots share the same spaces and resources. This thesis investigates the conflict resolution of robots and humans in everyday conflicts in the domestic and public context. Hereby, the acceptability, trustworthiness, and effectiveness of verbal and non-verbal strategies for the robot to solve the conflict in its favor are evaluated. Based on the assumption of the Media Equation and CASA paradigm that people interact with computers as social actors, robot conflict resolution strategies from social psychology and human-machine interaction were derived. The effectiveness, acceptability, and trustworthiness of those strategies were evaluated in online, virtual reality, and laboratory experiments. Future work includes determining the psychological processes of human-robot conflict resolution in further experimental studies.

This paper aims to discover the characteristics of acceptance of mobile government systems by elderly. Several initiatives and projects offer various governmental services for them, like information sharing, alerting and mHealth services. All of them carry important benefits for this user group, but these can only be utilized if the user acceptance is at a certain level. This is a requirement in order for the users to perceive the services as a benefit and not as hindrance. The key aspects for high acceptance are usability and user-friendliness, which will lead to successful-government systems designed for the target group. We have applied a combination of qualitative and quantitative research methods including an m-Government prototype to explore the key acceptance factors. Research approach utilizes the IGUAN framework, which is a user-driven method. We collected and analysed data guided by IGUAN framework about the acceptance of e-government services by elderly. The target group was recruited from Germany and Hungary. Our findings draw the attention to perceived security and perceived usability of an application; these are decisive factors for this target group.