Now showing items 1-10 of 21
Machines as teammates: A research agenda on AI in team collaboration
What if artificial intelligence (AI) machines became teammates rather than tools? This paper reports on an international initiative by 65 collaboration scientists to develop a research agenda for exploring the potential risks and benefits of machines as teammates (MaT). They generated 819 research questions. A subteam of 12 converged them to a research agenda comprising three design areas – Machine artifact, Collaboration, and Institution – and 17 dualities – significant effects with the potential for benefit or harm. ...
Why different trust relationships matter for information systems users
Technology acceptance research has shown that trust is an important factor fostering use of information systems (IS). As a result, numerous IS researchers have studied factors that build trust in IS. However, IS research on trust has mainly focused on the trust relationship between the user and the IS itself, largely neglecting that other targets of trust might also drive IS use from a user’s point of view. Accordingly, we investigate the importance of different targets of trust in IS use. Therefore, we use the concept ...
Individual Appropriation of Learning Management Systems — Antecedents and Consequences
IT support in the learning process constitutes a key factor for the success of innovative teaching/learning scenarios. To ensure learning success in innovative teaching/learning scenarios, learners need to faithfully apply learning management systems (LMS). However, we lack theoretical insights into which factors affect whether they do so. To help solve this issue, we first used adaptive structuration theory to identify antecedents and consequences regarding faithful LMS appropriation and embed them into a theoretical ...
Entwicklung und Potentiale digitaler Raumforschung
A rise of digital methods paves the way for new opportunities but also poses risks for spatial planning and research. Academic training of planners rarely supports the testing and understanding of digital research tools. In this article we analyze best-practice examples, review questions of data ethics and provide recommendations for incorporating the digital-turn in the academic teaching practices.
Moving armies of stop signs