An analysis of the role of different levels of exchange of explicit information in human–robot cooperation
For smooth human–robot cooperation, it is crucial that robots understand social cues from humans and respond accordingly. Contextual information provides the human partner with real-time insights into how the robot interprets social cues and what action decisions it makes as a result. We propose and...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2025-02-01
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| Series: | Frontiers in Robotics and AI |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/frobt.2025.1511619/full |
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| author | Ane San Martin Johan Kildal Elena Lazkano |
| author_facet | Ane San Martin Johan Kildal Elena Lazkano |
| author_sort | Ane San Martin |
| collection | DOAJ |
| description | For smooth human–robot cooperation, it is crucial that robots understand social cues from humans and respond accordingly. Contextual information provides the human partner with real-time insights into how the robot interprets social cues and what action decisions it makes as a result. We propose and implement a novel design for a human–robot cooperation framework that uses augmented reality and user gaze to enable bidirectional communication. Through this framework, the robot can recognize the objects in the scene that the human is looking at and infer the human’s intentions within the context of the cooperative task. We proposed three levels of exchange of explicit information designs, each providing increasingly more information. These designs enable the robot to offer contextual information about what user actions it has identified and how it intends to respond, which is in line with the goal of cooperation. We report a user study (n = 24) in which we analyzed the performance and user experience with the three different levels of exchange of explicit information. Results indicate that users preferred an intermediate level of exchange of information, in which users knew how the robot was interpreting their intentions, but where the robot was autonomous to take unsupervised action in response to gaze input from the user, needing a less informative action from the human’s side. |
| format | Article |
| id | doaj-art-e9e8b8e5741a49bbb4e9f66563939de4 |
| institution | Kabale University |
| issn | 2296-9144 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Robotics and AI |
| spelling | doaj-art-e9e8b8e5741a49bbb4e9f66563939de42025-02-10T08:53:50ZengFrontiers Media S.A.Frontiers in Robotics and AI2296-91442025-02-011210.3389/frobt.2025.15116191511619An analysis of the role of different levels of exchange of explicit information in human–robot cooperationAne San Martin0Johan Kildal1Elena Lazkano2Department of Autonomous and Intelligent Systems, Tekniker, Eibar, SpainDepartment of Autonomous and Intelligent Systems, Tekniker, Eibar, SpainFaculty of Informatics, University of the Basque Country (UPV/EHU), Bilbao, SpainFor smooth human–robot cooperation, it is crucial that robots understand social cues from humans and respond accordingly. Contextual information provides the human partner with real-time insights into how the robot interprets social cues and what action decisions it makes as a result. We propose and implement a novel design for a human–robot cooperation framework that uses augmented reality and user gaze to enable bidirectional communication. Through this framework, the robot can recognize the objects in the scene that the human is looking at and infer the human’s intentions within the context of the cooperative task. We proposed three levels of exchange of explicit information designs, each providing increasingly more information. These designs enable the robot to offer contextual information about what user actions it has identified and how it intends to respond, which is in line with the goal of cooperation. We report a user study (n = 24) in which we analyzed the performance and user experience with the three different levels of exchange of explicit information. Results indicate that users preferred an intermediate level of exchange of information, in which users knew how the robot was interpreting their intentions, but where the robot was autonomous to take unsupervised action in response to gaze input from the user, needing a less informative action from the human’s side.https://www.frontiersin.org/articles/10.3389/frobt.2025.1511619/fullhuman–robot collaborationbidirectional communicationsituation awarenesssocial signal processinguser experienceuser study |
| spellingShingle | Ane San Martin Johan Kildal Elena Lazkano An analysis of the role of different levels of exchange of explicit information in human–robot cooperation Frontiers in Robotics and AI human–robot collaboration bidirectional communication situation awareness social signal processing user experience user study |
| title | An analysis of the role of different levels of exchange of explicit information in human–robot cooperation |
| title_full | An analysis of the role of different levels of exchange of explicit information in human–robot cooperation |
| title_fullStr | An analysis of the role of different levels of exchange of explicit information in human–robot cooperation |
| title_full_unstemmed | An analysis of the role of different levels of exchange of explicit information in human–robot cooperation |
| title_short | An analysis of the role of different levels of exchange of explicit information in human–robot cooperation |
| title_sort | analysis of the role of different levels of exchange of explicit information in human robot cooperation |
| topic | human–robot collaboration bidirectional communication situation awareness social signal processing user experience user study |
| url | https://www.frontiersin.org/articles/10.3389/frobt.2025.1511619/full |
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