Terrence Fong

Bio: Terrence Fong is an academic researcher from Ames Research Center. The author has contributed to research in topics: Robot & Human–robot interaction. The author has an hindex of 32, co-authored 110 publications receiving 7245 citations. Previous affiliations of Terrence Fong include École Polytechnique Fédérale de Lausanne & Carnegie Mellon University.

Common metrics for human-robot interaction

Abstract: This paper describes an effort to identify common metrics for task-oriented human-robot interaction (HRI). We begin by discussing the need for a toolkit of HRI metrics. We then describe the framework of our work and identify important biasing factors that must be taken into consideration. Finally, we present suggested common metrics for standardization and a case study. Preparation of a larger, more detailed toolkit is in progress.

Vehicle Teleoperation Interfaces

Abstract: Despite advances in autonomy, there will always be a need for human involvement in vehicle teleoperation. In particular, tasks such as exploration, reconnaissance and surveillance will continue to require human supervision, if not guidance and direct control. Thus, it is critical that the operator interface be as efficient and as capable as possible. In this paper, we provide an overview of vehicle teleoperation and present a summary of interfaces currently in use.

A Survey of Methods for Safe Human-Robot Interaction

Abstract: Ensuring human safety is one of the most important considerations within the field of human-robot interaction (HRI). This does not simply involve preventing collisions between humans and robots operating within a shared space; we must consider all possible ways in which harm could come to a person, ranging from physical contact to adverse psychological effects resulting from unpleasant or dangerous interaction. A Survey of Methods for Safe Human-Robot Interaction organizes and summarizes the large body of research related to facilitation of safe human-robot interaction. It describes the strategies and methods that have been developed thus far, organizes them into subcategories, characterizes relationships between the strategies, and identifies potential gaps in the existing knowledge that warrant further research. By creating an organized categorization of the field, A Survey of Methods for Safe Human-Robot Interaction is intended to support future research and the development of new technologies for safe HRI, as well as facilitate the use of these techniques by researchers within the HRI community.

Collaboration, Dialogue, Human-Robot Interaction

Abstract: Teleoperation can be improved if humans and robots work as partners, exchanging information and assisting one another to achieve common goals. In this paper, we discuss the importance of collaboration and dialogue in human-robot systems. We then present collaborative control, a system model in which human and robot collaborate, and describe its use in vehicle teleoperation.

Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots

Abstract: This study emphasizes the need for standardized measurement tools for human robot interaction (HRI). If we are to make progress in this field then we must be able to compare the results from different studies. A literature review has been performed on the measurements of five key concepts in HRI: anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety. The results have been distilled into five consistent questionnaires using semantic differential scales. We report reliability and validity indicators based on several empirical studies that used these questionnaires. It is our hope that these questionnaires can be used by robot developers to monitor their progress. Psychologists are invited to further develop the questionnaires by adding new concepts, and to conduct further validations where it appears necessary.

Human-Robot Interaction: A Survey

Abstract: Human-Robot Interaction (HRI) has recently received considerable attention in the academic community, in labs, in technology companies, and through the media. Because of this attention, it is desirable to present a survey of HRI to serve as a tutorial to people outside the field and to promote discussion of a unified vision of HRI within the field. The goal of this review is to present a unified treatment of HRI-related problems, to identify key themes, and discuss challenge problems that are likely to shape the field in the near future. Although the review follows a survey structure, the goal of presenting a coherent "story" of HRI means that there are necessarily some well-written, intriguing, and influential papers that are not referenced. Instead of trying to survey every paper, we describe the HRI story from multiple perspectives with an eye toward identifying themes that cross applications. The survey attempts to include papers that represent a fair cross section of the universities, government efforts, industry labs, and countries that contribute to HRI, and a cross section of the disciplines that contribute to the field, such as human, factors, robotics, cognitive psychology, and design.