Quantifying human decision-making: implications for bidirectional communication in human-robot teams
Paper presented at the 10th International Conference on Virtual, Augmented and Mixed Reality (VAMR 2018), Las Vegas, Nevada, July 15-20, 2018.
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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Springer Science and Business Media LLC
2020
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| Online Access: | https://hdl.handle.net/1721.1/125872 |
| _version_ | 1811083502403190784 |
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| author | Roy, Nicholas |
| author2 | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
| author_facet | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Roy, Nicholas |
| author_sort | Roy, Nicholas |
| collection | MIT |
| description | Paper presented at the 10th International Conference on Virtual, Augmented and Mixed Reality (VAMR 2018), Las Vegas, Nevada, July 15-20, 2018. |
| first_indexed | 2024-09-23T12:34:05Z |
| format | Article |
| id | mit-1721.1/125872 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T12:34:05Z |
| publishDate | 2020 |
| publisher | Springer Science and Business Media LLC |
| record_format | dspace |
| spelling | mit-1721.1/1258722022-09-28T08:40:22Z Quantifying human decision-making: implications for bidirectional communication in human-robot teams Roy, Nicholas Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Paper presented at the 10th International Conference on Virtual, Augmented and Mixed Reality (VAMR 2018), Las Vegas, Nevada, July 15-20, 2018. A goal for future robotic technologies is to advance autonomy capabilities for independent and collaborative decision-making with human team members during complex operations. However, if human behavior does not match the robots’ models or expectations, there can be a degradation in trust that can impede team performance and may only be mitigated through explicit communication. Therefore, the effectiveness of the team is contingent on the accuracy of the models of human behavior that can be informed by transparent bidirectional communication which are needed to develop common ground and a shared understanding. For this work, we are specifically characterizing human decision-making, especially in terms of the variability of decision-making, with the eventual goal of incorporating this model within a bidirectional communication system. Thirty participants completed an online game where they controlled a human avatar through a 14 × 14 grid room in order to move boxes to their target locations. Each level of the game increased in environmental complexity through the number of boxes. Two trials were completed to compare path planning for the condition of known versus unknown information. Path analysis techniques were used to quantify human decision-making as well as provide implications for bidirectional communication. Army Research Laboratory (agreement no. W911NF-10-2-0016) 2020-06-18T20:47:29Z 2020-06-18T20:47:29Z 2018 2019-10-31T13:37:36Z Article http://purl.org/eprint/type/ConferencePaper 978-3-319-91581-4 1611-3349 https://hdl.handle.net/1721.1/125872 Schaefer, Kristin E., et al., "Quantifying human decision-making: implications for bidirectional communication in human-robot teams." Virtual, Augmented and Mixed Reality: Interaction, Navigation, Visualization, Embodiment, and Simulation: 10th International Conference, VAMR 2018, edited by Jessie Y. C. Chen and Gino Fragomeni. Lecture Notes in Computer Science 10909 (Cham, Switzerland: Springer, 2018): p. 361-79 doi 10.1007/978-3-319-91581-4_27 ©2018 Author(s) en 10.1007/978-3-319-91581-4_27 VAMR: International Conference on Virtual, Augmented and Mixed Reality 2018 Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Springer Science and Business Media LLC Other repository |
| spellingShingle | Roy, Nicholas Quantifying human decision-making: implications for bidirectional communication in human-robot teams |
| title | Quantifying human decision-making: implications for bidirectional communication in human-robot teams |
| title_full | Quantifying human decision-making: implications for bidirectional communication in human-robot teams |
| title_fullStr | Quantifying human decision-making: implications for bidirectional communication in human-robot teams |
| title_full_unstemmed | Quantifying human decision-making: implications for bidirectional communication in human-robot teams |
| title_short | Quantifying human decision-making: implications for bidirectional communication in human-robot teams |
| title_sort | quantifying human decision making implications for bidirectional communication in human robot teams |
| url | https://hdl.handle.net/1721.1/125872 |
| work_keys_str_mv | AT roynicholas quantifyinghumandecisionmakingimplicationsforbidirectionalcommunicationinhumanrobotteams |