Charles Rich

AAMAS Conference 2018 Conference Paper

I've Got the Power's Value! A Computational Model to Evaluate the Interlocutor's Behaviors in Collaborative Negotiation

• Lydia OuldOuali
• Nicolas Sabouret
• Charles Rich

We present in this paper a simulation-oriented theory of mind model for interpreting behaviors of power during a collaborative negotiation. This model relies on a model of negotiation that allows an agent to express behaviors of power through its strategy of negotiation. Based on the simulation theory, we adapted the decision model of the agent to reason about its interlocutor’s behavior. A preliminary evaluation in the context of agent-agent interaction shows that the system correctly predicts the interlocutor’s power.

AAMAS Conference 2016 Conference Paper

Expectedness in Human-Robot Collaboration (Extended Abstract)

• Mahni Shayganfar
• Charles Rich
• Candace L. Sidner

We have investigated the mutual influences of affective and collaborative processes in a cognitive theory to support interaction between humans and robots or virtual agents. We build primarily on the cognitive appraisal theory of emotions and the SharedPlans theory of collaboration to investigate the structure, fundamental processes and functions of emotions in a collaboration. We have developed the expectedness appraisal algorithm as part of a new overall computational model. We have evaluated our implemented algorithm by conducting an online user study.

IROS Conference 2012 Conference Paper

A design methodology for expressing emotion on robot faces

• Mohammad Shayganfar
• Charles Rich
• Candace L. Sidner

We have developed a systematic methodology for designing emotional facial expressions for humanoid robots, especially those with limited degrees of freedom. The methodology is firmly grounded in the psychological literature on human static and dynamic emotional facial expressions. We demonstrate the methodology by applying it to a recent humanoid robot and evaluate the results, confirming that the observed confusion matrix agrees qualitatively with the predictions of the methodology. We also investigate how robot facial emotion recognition compares for dynamic versus static expressions.

AAAI Conference 2006 Conference Paper

From the Programmer’s Apprentice to Human-Robot Interaction: Thirty Years of Research on Human-Computer Collaboration

• Charles Rich

We summarize the continuous thread of research we have conducted over the past thirty years on human-computer collaboration. This research reflects many of the themes and issues in operation in the greater field of AI over this period, such as knowledge representation and reasoning, planning and intent recognition, learning, and the interplay of human theory and computer engineering.

AAAI Conference 2005 System Paper

DiamondHelp: A Collaborative Task Guidance Framework for Complex Devices

• Charles Rich
• Neal Lesh
• Shane Booth

DiamondHelp is a reusable Java framework for building collaborative task guidance systems for complex devices, such as digitally enabled home appliances. DiamondHelp combines a generic conversational interface, adapted from online chat programs, with an application-specific direct manipulation interface. DiamondHelp provides ‘a things to say” mechanism for use without spoken language understanding; it also supports extensions to take advantage of speech technology. DiamondHelp’s software architecture factors all application-specific content into two modular plug-ins, one of which includes Collagen and a task model.

AIJ Journal 2005 Journal Article

Explorations in engagement for humans and robots

• Candace L. Sidner
• Christopher Lee
• Cory D. Kidd
• Neal Lesh
• Charles Rich

This paper explores the concept of engagement, the process by which individuals in an interaction start, maintain and end their perceived connection to one another. The paper reports on one aspect of engagement among human interactors—the effect of tracking faces during an interaction. It also describes the architecture of a robot that can participate in conversational, collaborative interactions with engagement gestures. Finally, the paper reports on findings of experiments with human participants who interacted with a robot when it either performed or did not perform engagement gestures. Results of the human–robot studies indicate that people become engaged with robots: they direct their attention to the robot more often in interactions where engagement gestures are present, and they find interactions more appropriate when engagement gestures are present than when they are not.

AAMAS Conference 2002 Conference Paper

A Plug-in Architecture for Generating Collaborative Agent Responses

• Charles Rich
• Neal Lesh
• Jeff Rickel

IJCAI Conference 1985 Conference Paper

The Layered Architecture of a System for Reasoning about Programs

• Charles Rich

AAAI Conference 1982 Conference Paper

Knowledge Representation Languages and Predicate Calculus: How to Have Your Cake and Eat It Too

• Charles Rich

This paper attempts to resolve some of the controversy between advocates of predicate calcu1us and users of other knowledge representation languages by demonstrating that it is possible to have the key features of both in a hybrid system. An example is given of a recently implemented hybrid system in which a specialized planning language co-exists with its translation into predicate calculus. In this system, various kinds of reasoning required for a program understanding task are implemented at either the predicate calculus level or the planning language level, depending on which is more natural.