Museums and science centres are informal education environments that intend to engage visitors with their exhibits. We present an efficient design process that allows an improved working relationship between museum practitioners, exhibition designers, and visitors. Its principles and a graphical representation are based on the Engagement Profile from previous work. Curators and designers evaluate the qualities of exhibits using the engagement profile while visitors inform the design process by answering a standardised questionnaire. Elements of the design process were evaluated using an educational game at the science centre Engineerium. This study was based on the responses from over five hundred visitors to the science centre. As an outcome, the science centre received valuable information of how to improve the exhibit. Further, one iteration of the design process was implemented in practice. First experiences show that our method will practically support the work of museum practitioners and exhibition designers.
We report on an exploratory study conducted at a graduate school in Sweden with a humanoid robot, Baxter. First, we describe a list of potentially useful capabilities for a robot teaching assistant derived from brainstorming and interviews with faculty members, teachers, and students. These capabilities consist of reading educational materials out loud, greeting, alerting, allowing remote operation, providing clarifications, and moving to carry out physical tasks. Secondly, we present feedback on how the robot’s capabilities, demonstrated in part with the Wizard of Oz approach, were perceived, and iteratively adapted over the course of several lectures, using the Engagement Profile tool. Thirdly, we discuss observations regarding the capabilities and the development process. Our findings suggest that using a social robot as a teaching assistant is promising using the chosen capabilities and Engagement Profile tool. We find that enhancing the robot’s autonomous capabilities and further investigating the role of embodiment are some important topics to be considered in future work.
Making computer generated copper plates with image generation algorithms is presented. The method uses a kind of volume texturing in connection with image processing algorithms, and is suitable for implementation in a ray tracing algorithm. Experience shows that this method is especially interesting for illustrations in books and for generating icons on user interfaces.
The Things in the smart Internet of Things (IoT) depend more on self decision making abilities instead of relying on human interventions. In the IoT, static security mechanisms are not well suited to handle all security risks sufficiently. A security mechanism can be considered static if it is developed with fixed security measures whereas an adaptive security mechanism can be considered dynamic if it can continuously monitor, analyse, and reassess a security risk at runtime. Adaptive security mechanisms can be a better choice to secure dynamic and heterogeneous computing systems in the IoT. This paper presents a patient monitoring scenario using the smart IoT and aims at highlighting all important assets, vulnerabilities, and threats that can harm assets and disrupt eHealth systems. We describe adaptive security and introduce a concept of adaptive security countermeasures for the smart IoT in eHealth.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.