Time Pressure Based Human Workload and Productivity Compatible System for Human-Robot Collaboration

Naoki Shirakura; Ryuichi Takase; Natsuki Yamanobe; Yukiyasu Domae; Tetsuya Ogata

doi:10.1109/CASE49997.2022.9926685

Time Pressure Based Human Workload and Productivity Compatible System for Human-Robot Collaboration

Naoki Shirakura, Ryuichi Takase, Natsuki Yamanobe, Yukiyasu Domae, Tetsuya Ogata

School of Fundamental Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper presents a human-robot collaboration (HRC) system which balance human workload and system productivity by using time pressure. To adjust time pressure using a real robot, we introduce a task scheduler that determines the intervention timing considering the movement limitation of the system and an interaction system using perception modality according to the work content. Our system was evaluated through a subjective experiment. In the experiment, workload and productivity were estimated using a physiological signal such as pupil diameter, subjective evaluation, and operation time. Based on the results of the experiment, we investigated the relation between workload and efficacy under the conditions of several time pressures. The result shows that the proposed HRC system can control time pressure, which can affect human workload and productivity.

Original language	English
Title of host publication	2022 IEEE 18th International Conference on Automation Science and Engineering, CASE 2022
Publisher	IEEE Computer Society
Pages	659-666
Number of pages	8
ISBN (Electronic)	9781665490429
DOIs	https://doi.org/10.1109/CASE49997.2022.9926685
Publication status	Published - 2022
Event	18th IEEE International Conference on Automation Science and Engineering, CASE 2022 - Mexico City, Mexico Duration: 2022 Aug 20 → 2022 Aug 24

Publication series

Name	IEEE International Conference on Automation Science and Engineering
Volume	2022-August
ISSN (Print)	2161-8070
ISSN (Electronic)	2161-8089

Conference

Conference	18th IEEE International Conference on Automation Science and Engineering, CASE 2022
Country/Territory	Mexico
City	Mexico City
Period	22/8/20 → 22/8/24

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/CASE49997.2022.9926685

Cite this

Shirakura, N., Takase, R., Yamanobe, N., Domae, Y., & Ogata, T. (2022). Time Pressure Based Human Workload and Productivity Compatible System for Human-Robot Collaboration. In 2022 IEEE 18th International Conference on Automation Science and Engineering, CASE 2022 (pp. 659-666). (IEEE International Conference on Automation Science and Engineering; Vol. 2022-August). IEEE Computer Society. https://doi.org/10.1109/CASE49997.2022.9926685

Time Pressure Based Human Workload and Productivity Compatible System for Human-Robot Collaboration. / Shirakura, Naoki; Takase, Ryuichi; Yamanobe, Natsuki et al.
2022 IEEE 18th International Conference on Automation Science and Engineering, CASE 2022. IEEE Computer Society, 2022. p. 659-666 (IEEE International Conference on Automation Science and Engineering; Vol. 2022-August).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shirakura, N, Takase, R, Yamanobe, N, Domae, Y & Ogata, T 2022, Time Pressure Based Human Workload and Productivity Compatible System for Human-Robot Collaboration. in 2022 IEEE 18th International Conference on Automation Science and Engineering, CASE 2022. IEEE International Conference on Automation Science and Engineering, vol. 2022-August, IEEE Computer Society, pp. 659-666, 18th IEEE International Conference on Automation Science and Engineering, CASE 2022, Mexico City, Mexico, 22/8/20. https://doi.org/10.1109/CASE49997.2022.9926685

Shirakura N, Takase R, Yamanobe N, Domae Y, Ogata T. Time Pressure Based Human Workload and Productivity Compatible System for Human-Robot Collaboration. In 2022 IEEE 18th International Conference on Automation Science and Engineering, CASE 2022. IEEE Computer Society. 2022. p. 659-666. (IEEE International Conference on Automation Science and Engineering). doi: 10.1109/CASE49997.2022.9926685

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abstract = "This paper presents a human-robot collaboration (HRC) system which balance human workload and system productivity by using time pressure. To adjust time pressure using a real robot, we introduce a task scheduler that determines the intervention timing considering the movement limitation of the system and an interaction system using perception modality according to the work content. Our system was evaluated through a subjective experiment. In the experiment, workload and productivity were estimated using a physiological signal such as pupil diameter, subjective evaluation, and operation time. Based on the results of the experiment, we investigated the relation between workload and efficacy under the conditions of several time pressures. The result shows that the proposed HRC system can control time pressure, which can affect human workload and productivity.",

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AB - This paper presents a human-robot collaboration (HRC) system which balance human workload and system productivity by using time pressure. To adjust time pressure using a real robot, we introduce a task scheduler that determines the intervention timing considering the movement limitation of the system and an interaction system using perception modality according to the work content. Our system was evaluated through a subjective experiment. In the experiment, workload and productivity were estimated using a physiological signal such as pupil diameter, subjective evaluation, and operation time. Based on the results of the experiment, we investigated the relation between workload and efficacy under the conditions of several time pressures. The result shows that the proposed HRC system can control time pressure, which can affect human workload and productivity.

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Time Pressure Based Human Workload and Productivity Compatible System for Human-Robot Collaboration

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