• Agents for supporting human teams
• Agents designed for a group of users (e.g., a digital assistant for the home)

• How does the presence of multiple robots affect human perceptions of and interactions with them?
• How do features of the robots (e.g., appearance, behavior toward each other) affect that dynamic?
• How do additional humans (directly or indirectly) affect human-robot interaction?

• How does presence of humans in groups affect design of planning and learning algorithms for multi-agent systems?
• How can algorithms from single human-single agent interaction apply to interaction in groups?

• Mr. Jones - Towards a Proactive Smart Room Orchestrator
  Tathagata Chakraborti, Kartik Talamadupula, Mishal Dholakia,
  Biplav Srivastava, Jeffrey Kephart and Rachel Bellamy
• Toward Crowd-Sensitive Path Planning
  Anoop Aroor and Susan Epstein
• Proactive Conversation between Multiple Robots to Improve
  the Sense of Human-Robot Conversation
  Yuichiro Yoshikawa, Takamasa Iio, Tsunehiro Arimoto,
  Hiroaki Sugiyama and Hiroshi Ishiguro

• Contextual Knowledge Representation and Reasoning Models
  for Autonomous Robots
  Naouel Ayari, Abdelghani Chibani, Yacine Amirat and Georges Fried
• Towards Intelligent Decision Support in Human Team Planning
  Joseph Kim and Julie Shah
• Explanations as Model Reconciliation - A Multi-Agent Perspective
  Sarath Sreedharan, Tathagata Chakraborti and Subbarao Kambhampati

• Bounty Hunting and Human-Agent Group Task Allocation
  Drew Wicke and Sean Luke
• Effects of Network Latency on Games with Human and
  Distributed Agent Players
  William Birmingham and Britton Wolfe
• RADAR - A Proactive Decision Support System for
  Human-in-the-Loop Planning
  Sailik Sengupta, Tathagata Chakraborti, Satya Gautam Vadlamudi,
  Sarath Sreedharan and Subbarao Kambhampati

Ana Maria Paiva is an Associate Professor in the Department of Computer Science and Engineering (Departamento de Engenharia Informática) of Instituto Superior Técnico from the Technical University of Lisbon (Universidade Técnica de Lisboa). She is also the group leader of GAIPS (Grupo de Agentes Inteligentes e Personagens Sintéticas), a research group on agents and synthetic characters at INESC-ID. Her main scientific interests lay in the area of Autonomous Agents, Embodied Conversational Agents and Robots and Multiagent Simulation Systems. Prof. Ana Paiva has been researching in the area of artificial intelligence for the past twenty years, having also taught at IST during that period.

Brian Lickel is a social psychologist who studies the role of groups and relationships in human social life. He received his Ph.D. in 2000 from UC Santa Barbara, and is currently an Associate Professor and Director of the Psychology of Peace and Violence program at the University of Massachusetts, Amherst. Brian's work examines the intersection of social cognition, emotion, and social behavior related to groups. This includes work on people's intuitive understanding and folk theories of the operation of different kinds of social groups. From this base on folk theories of groups, Brian and his students have conducted an extensive set of studies on human understanding of collective responsibility (i.e., holding entire groups responsible for the actions of subsets of group members). For example, they have studied the role of collective blame of outgroups in motivating intergroup retaliation, group-based discrimination, and support for intergroup violence. On the flip-side, they have also examined when and why people take personal responsibility for things done by their groups and fellow group members, and come to feel emotions such as shame and guilt for the actions of others. Throughout his work, Brian integrates a functionalist perspective (i.e., what is purpose or goal of the mechanism under study?) with a process perspective (i.e., how does this mechanism operate - what are the proximal inputs, cognitive representations built, and outputs generated?).

Christopher Amato is an Assistant Professor at Northeastern University. He received a BA from Tufts University and an MS and a PhD from the University of Massachusetts, Amherst. Before joining Northeastern, Dr. Amato was a Research Scientist at Aptima, Inc. and a Postdoc and Research Scientist at MIT as well as an Assistant Professor at the University of New Hampshire. He has published papers in leading artificial intelligence and robotics conferences (including winning a best paper prize at AAMAS-14 and being nominated for the best paper at RSS-15). He also successfully co-organized several tutorials on team decision making and co-authored a book on the same subject. His research focuses on decision making under uncertainty in multi-agent and multi-robot systems.

Dr. Shiqi Zhang is an Assistant Professor at the Department of Electrical Engineering and Computer Science, Cleveland State University. From 2014 to 2016, he was a Postdoctoral Fellow working on a team of mobile service robots in a Building Wide Intelligence project at the University of Texas at Austin. He received his PhD in Computer Science (2013) from Texas Tech University. Before that, he received his Master's (2008) and BS (2006) from Harbin Institute of Technology in China. He was a visiting student at Tsinghua University in 2007 and 2008, and interned at Microsoft Research Asia in 2012. Dr. Zhang's research lies in the intersection of artificial intelligence and robotics. He is particularly interested in developing algorithms that integrate computational modalities of planning, reasoning, and learning for service robots that work in human-inhabited, everyday environments, such as homes, hospitals and offices. Additional details about Dr. Zhang and his research can be found on his personal page.

Jeffrey V. Nickerson is professor and Associate Dean of Research in the School of Business at Stevens Institute of Technology. His research is about collective creativity, how crowds and online communities can jointly design solutions to challenging social problems. He is co-PI on a recently awarded NSF Convergence grant. Convergence involves finding a common language for those in different disciplines to use, as well as identifying ways of benchmarking and sharing progress in multiple domains. As part of this NSF grant, a Research Collaboration Network spanning the computational and social sciences is being constructed, and all workshop participants are invited to become involved.

David Sirkin is a Research Associate at Stanford University's Center for Design Research, where he focuses on design methodology, as well as the design of physical interactions between humans and robots, and autonomous vehicles and their interfaces. He is also a Lecturer in Electrical Engineering, where he teaches interactive device design. David frequently collaborates with, and consults for, local Silicon Valley and global technology companies including Siemens, SAP and Microsoft Research. He grew up in Florida, near the Everglades, and in Maine, near the lobsters.