Towards understanding the role of humans in collaborative tasks
Jena, Ayesha LU
and Topp, Elin Anna
LU
(2024)
- Abstract
- This paper explores the dynamics of human-robot collaboration through a comparative study of human-assisted and system-assisted approaches in a search and rescue application. Leveraging virtual environments and mixed-reality interfaces, the study evaluates task performance, workload, usability, and subjective experiences of participants. Results indicate that the system-assisted approach significantly improves task completion time and accuracy in identifying critical elements, and reduces perceived workload compared to human-assisted methods. Subjective assessments reveal valuable insights into user preferences and challenges, informing recommendations for system refinement and protocol development. Findings highlight the potential of... (More)
- This paper explores the dynamics of human-robot collaboration through a comparative study of human-assisted and system-assisted approaches in a search and rescue application. Leveraging virtual environments and mixed-reality interfaces, the study evaluates task performance, workload, usability, and subjective experiences of participants. Results indicate that the system-assisted approach significantly improves task completion time and accuracy in identifying critical elements, and reduces perceived workload compared to human-assisted methods. Subjective assessments reveal valuable insights into user preferences and challenges, informing recommendations for system refinement and protocol development. Findings highlight the potential of human collaboration in enhancing operational effectiveness and promoting seamless collaboration between humans and robots in cluttered and high-risk environments. Interactions aimed at synchronizing goals, task states, and actions can be facilitated through virtual, augmented, and mixed-reality environments providing an intuitive platform for understanding interaction dynamics. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/c9170eda-18a0-4f2c-9d62-16890a40f99e
- author
- Jena, Ayesha
LU
and Topp, Elin Anna
LU
- organization
- publishing date
- 2024
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- unpublished
- subject
- host publication
- Open Review
- pages
- 7 pages
- project
- Distributed Situation Awareness and Mixed-Initiative Interaction for Collaborative Robotics
- Mixed - Initiative interaction for Collaborative Robotics
- RobotLab LTH
- WASP: Wallenberg AI, Autonomous Systems and Software Program at Lund University
- language
- English
- LU publication?
- yes
- id
- c9170eda-18a0-4f2c-9d62-16890a40f99e
- alternative location
- https://openreview.net/pdf?id=RNHHpDMpgL
- date added to LUP
- 2025-12-18 19:58:44
- date last changed
- 2025-12-19 10:47:57
@inproceedings{c9170eda-18a0-4f2c-9d62-16890a40f99e,
abstract = {{This paper explores the dynamics of human-robot collaboration through a comparative study of human-assisted and system-assisted approaches in a search and rescue application. Leveraging virtual environments and mixed-reality interfaces, the study evaluates task performance, workload, usability, and subjective experiences of participants. Results indicate that the system-assisted approach significantly improves task completion time and accuracy in identifying critical elements, and reduces perceived workload compared to human-assisted methods. Subjective assessments reveal valuable insights into user preferences and challenges, informing recommendations for system refinement and protocol development. Findings highlight the potential of human collaboration in enhancing operational effectiveness and promoting seamless collaboration between humans and robots in cluttered and high-risk environments. Interactions aimed at synchronizing goals, task states, and actions can be facilitated through virtual, augmented, and mixed-reality environments providing an intuitive platform for understanding interaction dynamics.}},
author = {{Jena, Ayesha and Topp, Elin Anna}},
booktitle = {{Open Review}},
language = {{eng}},
title = {{Towards understanding the role of humans in collaborative tasks}},
url = {{https://openreview.net/pdf?id=RNHHpDMpgL}},
year = {{2024}},
}