Cyberinfrastructures are virtual organizations comprised of people and large-scale scientific computational infrastructures. Cyberinfrastructures endeavor to support "cutting-edge" science and must continually evolve and be under development in order to maintain their relevance and usefulness. This qualitative study of a cyberinfrastructure development project to support the new science of metagenomics investigates how sustaining cyberinfrastructure entails continually realigning the relationships among people, technologies, and organizations.
Because interacting with a robot is a novel experience for most adults, expectations about a robot's capabilities must come from sources other than past experiences. This paper explores the relationship between capabilities of robots portrayed in popular science fiction films and students' expectations about a real robot. A content analysis of 12 American science fiction films showed that fictional robots reliably display cognitive capabilities, but do not consistently exhibit many humanlike social behaviors. Survey data collected from students follow the same basic patterns: people expect robots to have humanlike cognitive capabilities, but not social capabilities. The results are discussed in terms of how an empirical evaluation of cultural artifacts can inform the study of human-robot interaction.
This study examines the use of social networking sites (SNSs) such as Facebook and LinkedIn by entrepreneurs. The results contribute to the growing body of research on the uses of SNSs in the workplace. The findings show that entrepreneurs use SNSs in some of the same ways workers at large companies do (e.g. to cultivate business relationships and find job candidates) as well as some unique ways (e.g. to find credible subcontractors and to develop fundamental business relationships). Understanding the potential of SNSs to support work suggests implications for SNS design and theory development.
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