We show that asynchronous collaboration can be made more effective by providing cues to mutual knowledge. We demonstrate this by empirically comparing two user interfaces used to support collaborative work. Our position is that effective collaboration is characterized by more co-ordinated and speculative interaction, and that cues to mutual knowledge help participants develop common ground for ...

Mutual trust is a key factor in human-human collaboration. Inspired by this social interaction, we analyze human-agent mutual trust in the collaboration of human and (semi)autonomous multi-agent systems. Human-agent mutual trust should be bidirectional and determines the human’s acceptance and hence use of autonomous agents as well as agents’ willingness to take human’s command. It is especiall...

As the capabilities of Unmanned Vehicle Systems increase, the tasks of their operators become more and more complex and diverse. Accordingly, the interfaces of these UVSs must become smarter in order to support these tasks and assist the operator. In this paper, we discuss how an Operator Support System can leverage dynamic interaction strategies to modulate the workload of the operator and how...

The accurate knowledge of transport properties of pure and mixture fluids is essential for the design of various chemical and mechanical systems that include fluxes of mass, momentum, and energy. In this study we determine the mutual diffusion coefficients of mixtures composed of heptane isomers and nitrogen using molecular dynamics (MD) simulations with fully atomistic intermolecular potential...