[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/1121241.1121249acmconferencesArticle/Chapter ViewAbstractPublication PageshriConference Proceedingsconference-collections
Article

Common metrics for human-robot interaction

Published: 02 March 2006 Publication History

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.

References

[1]
ANSI/AIAA. Guide to Human Performance Measurements, AIAA, Washington, DC, 1993.
[2]
Bajcsy, R. Active perception. Proc. IEEE, 76 (1988), 966--1005.
[3]
Bruce, A., Nourbakhsh, I., and Simmons, R., The role of expressiveness and attention in human-robot interaction. In Proc. AAAI Fall Symposium on Emotional and Intelligent II: The Tangled Knot of Social Cognition, (2001).
[4]
Casper, J., and Murphy, R. Human-robot interactions during the robot-assisted urban search and rescue response at the World Trade Center. IEEE Transactions on Systems, Man and Cybernetics B, 33 (2003).
[5]
Cassimatis, N., Trafton, G., Schultz, A., Bugajska, M., and Adams, W., A task domain for combining and evaluating robotics and cognitive modeling techniques. In Proc. NIST Performance Metrics for Intelligent Systems Workshop, (2002).
[6]
Dautenhahn, K., and Werry, I., A quantitative technique for analysing robot-human interactions. In Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), (2002).
[7]
Dautenhahn, K., Werry, I., Rae, J., Dickerson, P., Stribling, P., and Odgen, B. Robotic playmates: Analysing interactive competencies of children with autism playing with a mobile robot. In Dautenhahn, K., Bond, A., Canamero, L. and Edmonds, B. eds. Socially Intelligent Agents: Creating Relationships with Computers and Robots, Kluwer Academic Publishers, 2002.
[8]
Draper, J., and Blair, L., Workload, flow and telepresence during teleoperation. In Proc. IEEE International Conference on Robotics and Automation (ICRA), (1996), 1030--1035.
[9]
Draper, J.V., and Kaber, D.B. Human-Robot Interaction. In Mital, A., Ayoub, M.M., Kumar, S., Wang, M.-J. and Landau, K. eds. Industrial and Occupational Ergonomics: Users' Encyclopedia (Encyclopedia of Ergonomics), 1999.
[10]
Drury, J., Scholtz, J., and Yanco, H., Awareness in human-robot interactions. In Proc. IEEE International Conference on Systems, Man and Cybernetics, (2003).
[11]
Endsley, M. Measurement of situation awareness in dynamic systems. Human Factors, 37 (1995), 65--84.
[12]
Fong, T., Nourbakhsh, I., and Dautenhahn, K. A survey of socially interactive robots. Robotics and Autonomous Systems, 42 (2003).
[13]
Fong, T., and Thorpe, C. Vehicle teleoperation interfaces. Autonomous Robots, 11 (2001).
[14]
Fong, T., Thorpe, C., and Baur, C. Robot, asker of questions. Robotics and Autonomous Systems, 42 (2003).
[15]
Goetz, J., and Kiesler, S., Cooperation with a robotic assistant. In Proc. Computer-Human Interaction, (2002).
[16]
Goldberg, K., and Siegwart, R. Beyond Webcams: Introduction to Online Robots. MIT Press, Cambridge, MA, 2002.
[17]
Goodrich, M., and Olsen, D., Seven principles of efficient human robot interaction. In Proc. IEEE International Conference on Systems, Man and Cybernetics, (2003), 3943--3948.
[18]
Granda, T., Kirkpatrick, M., Julien, T., and Peterson, L., The evolutionary role of humans in the human-robot system. In Proc. Human Factors Society 34th Annual Meeting, (1990), 664--668.
[19]
Gutwin, C., Effects of network delay on group work in shared workspaces. In Proc. European Conferences on Computer Supported Work, (2001).
[20]
Hart, S., and Staveland, L. Development of NASA-TLX (Task Load Index): results of empirical and theoretical research. In Hancock, P. and Meshkati, N. eds. Human Mental Workload, North-Holland Elsevier Science, 1988.
[21]
Huang, H., and Messina, E., Toward a generic model for the autonomy levels for unmanned systems. In Proc. NIST Performance Metrics for Intelligent Systems Workshop, (2003).
[22]
Hughes, S., and Lewis, M., Robotic camera control for remote exploration. In Proc. Conference on Human Factors in Computing Systems (CHI), (Vienna, Austria, 2004), 511--517.
[23]
Jacoff, A., Messina, E., and Evans, J., A reference test course for autonomous mobile robots. In Proc. SPIE-AeroSense Conference, (Orlando, FL, 2001).
[24]
Jacoff, A., Messina, E., and Evans, J., A standard test course for urban search and rescue robots. In Proc. NIST Performance Metrics for Intelligent Systems Workshop, (2000).
[25]
Kaber, D., Onal, E., and Endsley, M. Design of automation for telerobots and the effect on performance, operator situation awareness and subjective workload. Human Factors & Ergonomics in Manufacturing, 10 (2000), 409--430.
[26]
Kaber, D.B., and Chow, M.-Y., Human-robot interaction research and an approach to mobile-telerobot interface design. In Proc. XVth Triennial Congress of the International Ergonomics Association (CD-ROM), (Seoul, Korea, 2003).
[27]
Kaber, D.B., Riley, J., Zhou, R., and Draper, J.V., Effects of visual interface design, control interface type, and control latency on performance, telepresence, and workload in a teleoperation task. In Proc. XIVth Triennial Congress of the International Ergonomics Association and 44th Annual Meeting of the Human Factors and Ergonomics Society, (2000), Human Factors and Ergonomics Society, 503--506.
[28]
Lee, J., and Moray, N. Trust, self-confidence, and operators' adaptation to automation. International Journal of Human-Computer Studies, 40 (1994), 153--184.
[29]
Lee, J., and See, K. Trust in automation: designing for appropriate reliance. Human Factors, 46 (2004), 50--80.
[30]
Lewis, M., Wang, J., Manojlovich, J., Hughes, S., and Liu, X., Experiments with attitude: attitude displays for teleoperation. In Proc. IEEE International Conference on Systems, Man, and Cybernetics, (2003).
[31]
Macedo, J., Kaber, D., Endsley, M., Powanusorn, P., and Myung, S. The effects of automated compensation for incongruent axes on teleoperator performance. Human Factors, 40 (1999), 541--553.
[32]
MacKenzie, S., and Ware, C., Lag as a determinant of Human performance in interactive systems. In Proc. ACM Conference on Human Factors in Computing Systems (INTERCHI), (New York, NY, 1993), ACM SIGCHI, 488--493.
[33]
Newman, W., and Lamming, M. Interactive System Design. Addison-Wesley, Boston, 1995.
[34]
Nielsen, C.W., Ricks, B., Goodrich, M.A., Bruemmer, D., Few, D., and Walton, M., Snapshots for semantic maps. In Proc. IEEE International Conference on Systems, Man and Cybernetics, (The Hague, The Netherlands, 2004).
[35]
Olsen, D., and Goodrich, M., Metrics for evaluating human-robot interactions. In Proc. NIST Performance Metrics for Intelligent Systems Workshop, (2003).
[36]
Parasuraman, R. Human use and abuse of automation. In Mouloua, M. and Koonce, J. eds. Human-Automation Interaction, Lawrence Erlbaum Associates, 1997.
[37]
Parasuraman, R., Sheridan, T., and Wickens, C. A model for types and levels of human interaction with automation. IEEE Transactions on Systems, Man and Cybernetics B, 30 (2000), 286--297.
[38]
Rantanen, E., and Nunes, A., Taxonomoies of measures in air traffic control research. In Proc. International Symposium on Aviation Psychology, (2003).
[39]
Ricks, B., Nielsen, C.W., and Goodrich, M.A., Ecological displays for robot interaction: A new perspective. In Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), (Sendai, Japan, 2004).
[40]
Rodriguez, G., and Weisbin, C. A new method to evaluate human-robot system performance. Autonomous Robots, 14 (2003), 165--178.
[41]
Sanders, M., and McCormick, E. Human Factors in Engineering and Design. McGraw-Hill, New York, NY, 1993.
[42]
Scholtz, J., Theory and evaluation of human robot interactions. In Proc. Hawaii International Conference on System Science 36, (2003).
[43]
Scholtz, J., Antonishek, B., and Young, J., Evaluating human-robot interfaces: development of a situational awareness assessment methodology. In Proc. Hawaii International Conference on System Science 37, (2004).
[44]
Scholtz, J., Antonishek, B., and Young, J., Evaluation of operator interventions in autonomous off-road driving. In Proc. NIST Performance Metrics for Intelligent Systems Workshop, (2003).
[45]
Scholtz, J., Young, J., Drury, J., and Yanco, H., Evaluation of human-robot interaction awareness in search and rescue. In Proc. IEEE International Conference on Robotics and Automation (ICRA), (2004).
[46]
Schulte, J., Rosenberg, C., and Thrun, S., Spontaneous, short-term interaction with mobile robots in public places. In Proc. IEEE International Conference on Robotics and Automation (ICRA), (1999).
[47]
Sheiknainar, M., Kaber, D., and Chow, M.-Y. Control gain adaptation in virtual reality mediated human-telerobot interaction. Human Factors & Ergonomics in Manufacturing, 15 (2005), 259--274.
[48]
Sheridan, T. Telerobotics, Automation, and Human Supervisory Control. MIT Press, Cambridge, 1992.
[49]
Steinfeld, A., Interface lessons for fully and semi-autonomous mobile robots. In Proc. IEEE International Conference on Robotics and Automation (ICRA), (2004).
[50]
Tittle, J., Woods, D., Roesler, A., Howard, M., and Phillips, F., The role of 2-D and 3-D task performance in the design and use of visual displays. In Proc. Human Factors and Ergonomics Society's 46th Annual Meeting, (2002).
[51]
Verma, V. Anecdotes from Rover Field Operations, Unpublished, 2000.
[52]
Wilson, G. Applied use of cardiac and respiration measures: Practical considerations and precautions. Biological Psychology, 34 (1992).
[53]
Wilson, G. Real-time adaptive aiding using psychological operator state assessment. In Harris, D. ed. Engineering Psychology and Cognitive Ergonomics, Ashgate, Aldershot, UK, 2001.
[54]
Yanco, H., and Drury, J., A taxonomy for human-robot interaction. In Proc. AAAI Fall Symposium on Human-Robot Interaction, (2002), 111--119.
[55]
Yanco, H., Drury, J., and Scholtz, J. Beyond usability evaluation: analysis of human-robot interaction at a major robotics competition. Human-Computer Interaction, 19 (2004), 117--149.

Cited By

View all
  • (2024)Autoethnography of Living with a Sleep RobotMultimodal Technologies and Interaction10.3390/mti80600538:6(53)Online publication date: 18-Jun-2024
  • (2024)Knowledge Graph-Based Framework to Support Human-Centered Collaborative Manufacturing in Industry 5.0Applied Sciences10.3390/app1408339814:8(3398)Online publication date: 17-Apr-2024
  • (2024)Mobile Robot for Security Applications in Remotely Operated Advanced ReactorsApplied Sciences10.3390/app1406255214:6(2552)Online publication date: 18-Mar-2024
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
HRI '06: Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
March 2006
376 pages
ISBN:1595932941
DOI:10.1145/1121241
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 March 2006

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. human-robot interaction
  2. metrics
  3. unmanned ground vehicles

Qualifiers

  • Article

Conference

HRI06
HRI06: International Conference on Human Robot Interaction
March 2 - 3, 2006
Utah, Salt Lake City, USA

Acceptance Rates

Overall Acceptance Rate 268 of 1,124 submissions, 24%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)311
  • Downloads (Last 6 weeks)43
Reflects downloads up to 11 Dec 2024

Other Metrics

Citations

Cited By

View all
  • (2024)Autoethnography of Living with a Sleep RobotMultimodal Technologies and Interaction10.3390/mti80600538:6(53)Online publication date: 18-Jun-2024
  • (2024)Knowledge Graph-Based Framework to Support Human-Centered Collaborative Manufacturing in Industry 5.0Applied Sciences10.3390/app1408339814:8(3398)Online publication date: 17-Apr-2024
  • (2024)Mobile Robot for Security Applications in Remotely Operated Advanced ReactorsApplied Sciences10.3390/app1406255214:6(2552)Online publication date: 18-Mar-2024
  • (2024)A Review of Natural-Language-Instructed Robot Execution SystemsAI10.3390/ai50300485:3(948-989)Online publication date: 26-Jun-2024
  • (2024)Automated Assessment and Adaptive Multimodal Formative Feedback Improves Psychomotor Skills Training Outcomes in Quadrotor TeleoperationProceedings of the 12th International Conference on Human-Agent Interaction10.1145/3687272.3688322(185-194)Online publication date: 24-Nov-2024
  • (2024)Influence of Simulation and Interactivity on Human Perceptions of a Robot During Navigation TasksACM Transactions on Human-Robot Interaction10.1145/3675784Online publication date: 16-Jul-2024
  • (2024)What is Proactive Human-Robot Interaction? - A Review of a Progressive Field and Its DefinitionsACM Transactions on Human-Robot Interaction10.1145/365011713:4(1-30)Online publication date: 23-Apr-2024
  • (2024)An Automatic Evaluation Framework for Social Conversations with RobotsProceedings of the 2024 International Symposium on Technological Advances in Human-Robot Interaction10.1145/3648536.3648543(56-64)Online publication date: 9-Mar-2024
  • (2024)Virtual Reality-based Human-Robot Interaction for Remote Pick-and-Place TasksCompanion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610978.3640748(1148-1152)Online publication date: 11-Mar-2024
  • (2024)How Do Robot Experts Measure the Success of Social Robot Navigation?Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610978.3640636(1063-1066)Online publication date: 11-Mar-2024
  • Show More Cited By

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media