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Adapting GOMS to model human-robot interaction

Published: 10 March 2007 Publication History

Abstract

A formal interaction modeling technique known as Goals, Operators, Methods, and Selection rules (GOMS) is well-established in human-computer interaction as a cost-effective way of evaluating designs without the participation of end users. This paper explores the use of GOMS for evaluating human-robot interaction. We provide a case study in the urban search-and-rescue domain and raise issues for developing GOMS models that have not been previously addressed. Further, we provide rationale for selecting different types of GOMS modeling techniques to help the analyst model human-robot interfaces.

References

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cover image ACM Conferences
HRI '07: Proceedings of the ACM/IEEE international conference on Human-robot interaction
March 2007
392 pages
ISBN:9781595936172
DOI:10.1145/1228716
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]

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Publication History

Published: 10 March 2007

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Author Tags

  1. GOMS
  2. evaluation
  3. human-robot interaction
  4. interface design

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HRI07
HRI07: International Conference on Human Robot Interaction
March 10 - 12, 2007
Virginia, Arlington, USA

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HRI '07 Paper Acceptance Rate 22 of 101 submissions, 22%;
Overall Acceptance Rate 268 of 1,124 submissions, 24%

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  • (2022)Non-Dyadic Interaction: A Literature Review of 15 Years of Human-Robot Interaction Conference PublicationsACM Transactions on Human-Robot Interaction10.1145/348824211:2(1-32)Online publication date: 8-Feb-2022
  • (2020)Proposal and testing goals-guided interaction for occasional usersHuman-centric Computing and Information Sciences10.1186/s13673-020-0209-210:1Online publication date: 1-Feb-2020
  • (2019)Exploring The Use of Cognitive Models for Nuclear Power Plant Human-System Interface EvaluationProceedings of the Human Factors and Ergonomics Society Annual Meeting10.1177/107118131963113663:1(2190-2194)Online publication date: 20-Nov-2019
  • (2017)Design and development of a semi‐autonomous agricultural vineyard sprayer: Human–robot interaction aspectsJournal of Field Robotics10.1002/rob.2172134:8(1407-1426)Online publication date: 29-May-2017
  • (2014)The Improvement and Evaluation of an Analog Digital Television System’s Availability and Users ExperienceApplied Mechanics and Materials10.4028/www.scientific.net/AMM.496-500.2027496-500(2027-2033)Online publication date: Jan-2014
  • (2012)Design and evaluation of the Adaptive Interface Management System (AIMS) for collaborative mission planning with unmanned vehiclesInfotech@Aerospace 201210.2514/6.2012-2528Online publication date: 6-Sep-2012
  • (2012)Model-Based Development of User-Centric Automation and Assistive Devices/SystemsIEEE Systems Journal10.1109/JSYST.2011.21712706:3(388-400)Online publication date: Sep-2012
  • (2012)How to work and play with robotsComputers in Human Behavior10.1016/j.chb.2011.08.01128:1(60-68)Online publication date: 1-Jan-2012
  • (2011)Computational Cognitive Modeling of Human-Robot Interaction Using a GOMS MethodologyMixed Reality and Human-Robot Interaction10.1007/978-94-007-0582-1_4(53-75)Online publication date: 2011
  • (2009)Using Semiotic Inspection Method to Evaluate a Human-Robot InterfaceProceedings of the 2009 Latin American Web Congress (la-web 2009)10.1109/LA-WEB.2009.26(77-84)Online publication date: 9-Nov-2009
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