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A Multi-operator Study of Collaborative Communication During Cognitive Interaction

  • Wenhua Hang
  • , Qin Yang*
  • , Mengxiong Ye
  • , Jincheng Li
  • , Shaojun Cai
  • , Qing Zhang
  • , Jiachen Nie
  • , Li Ding
  • *此作品的通讯作者
  • Wuhan Second Ship Design and Research Institute
  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Multi-operator collaboration involves the transfer of information and the completion of tasks at multiple levels. As the changes of task complexity and staff positions, the efficiency of collaboration changes accordingly. To analyze the cognitive level of the operators during collaborative tasks, a cognitive-based multi-operator evaluation model was established. To ensure the objectivity of the evaluation, entropy value method and mean square deviation method were selected for the assignment of indexes. The weight coefficients of the two methods were calculated to get the combined weights, and finally the quality value of collaborative communication was obtained. In addition, three sets of communication efficiency experiments were conducted to validate the assessment model. The EEG signal of one operator was tested during each experiment, and the metrics required for the evaluation model were recorded. The word number of the command, the average reaction time, the error rate of operation, the maximum value of the command hierarchy, total time of completion, and total number of operations were obtained. The data of the above indexes were substituted into the model. The quality scores of the three experiments were calculated as 0.983, 0.335 and 0.156, respectively. The relative power of θ wave was applicable to the cognitive interaction evaluation model (p = 0.034). The cognitive load during the experiments were consistent with the results calculated by the established model. In conclusion, the verbal communication evaluation model is consistent with the physiological signals during the cognitive interaction process. It can be assumed that the collaborative communication evaluation model is accurate during the cognitive interaction, and can be embedded into a comprehensive assessment system in the future research.

源语言英语
主期刊名Human-Computer Interaction - Thematic Area, HCI 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Proceedings
编辑Masaaki Kurosu, Ayako Hashizume
出版商Springer Science and Business Media Deutschland GmbH
206-216
页数11
ISBN(印刷版)9783031938375
DOI
出版状态已出版 - 2025
活动Human Computer Interaction thematic area of the 27th International Conference on Human-Computer Interaction, HCII 2025 - Gothenburg, 瑞典
期限: 22 6月 202527 6月 2025

出版系列

姓名Lecture Notes in Computer Science
15767 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议Human Computer Interaction thematic area of the 27th International Conference on Human-Computer Interaction, HCII 2025
国家/地区瑞典
Gothenburg
时期22/06/2527/06/25

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