and visualizations to overcome data overload and release the power of new human-sensor systems.

Candy Sidner, Worcester Polytechnic University
Title: Agents for long-term relationships with isolated older adults

Abstract: We are exploring the development of virtual agents who “live” in the homes of socially isolated older adults for extended periods of time. Our agent reasons about activities that are appropriate to undertake with the adult as its relationship changes, from stranger to something one might call “companion” in the course of daily interactions. In this talk, I will discuss the relationship manager that reasons about the relationship and plans activities, and the real-time collaboration manager, which puts those plans into effect while also reasoning about time and the time available to complete those plans. I will also discuss experiments with older adults in their homes, who use prototype agents to help us discover what the agent can best be doing with adults.

Frank Dignum, Utrecht University
Title: Interaction in context

Abstract: When people interact they use context to both express and interpret the meaning of the information they want to exchange. Unfortunately, there are many overlapping contexts that might be active at the same time. Thus, choosing the right context to generate or interpret a message is a complex but very important issue for human-machine collaboration, especially for human, agent, and robot teams.

Session 2: Challenging Applications

Lakmal Seneviratne, Khalifa University, Abu Dhabi, UAE, and King’s College London, UK
Title: Force feedback and haptic interfaces during robot-assisted surgical interventions

Abstract: In recent years there have been significant advances in robot-assisted minimally invasive surgical (MIS) procedures. However, although robotassisted MIS represents significant improvements over traditional MIS, it does not provide the surgeon with a sense of touch from the operating interface. Many robotic surgical applications require active interactions with complex dynamic environments such as soft tissue. A fundamental understanding of the interaction dynamics between the surgical system and the environment is an essential element in intelligent surgeon-robot collaboration. The sensing of forces at the robot-tissue interface is a very challenging research problem. In this

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