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    政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 >  Item 140.119/122156
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    題名: Process and performance in human-robot teams, Journal of Cognitive Engineering and Decision Making
    作者: 簡士鎰
    Lewis, Michael;Wang, Huadong;Chien, Shih Yi;Velagapudi, Prasanna;Scerri, Paul;Sycara, Katia
    Chien, Shih Yi
    貢獻者: 資管系
    關鍵詞: human-robot interaction;automation;team processes
    日期: 2011-06
    上傳時間: 2019-01-24 11:59:02 (UTC+8)
    摘要: The authors are developing a theory for human control of robot teams based on considering how control difficulty grows with team size. Current work focuses on domains, such as foraging, in which robots perform largely independent tasks. Such tasks are particularly amenable to analysis because effects on performance and cognitive resources are predicted to be additive, and tasks can safely be allocated across operators because of their independence. The present study addresses the interaction between automation and organization of human teams in controlling large robot teams performing an urban search-and-rescue (USAR) task. Two possible ways to organize operators were identified: as individual assignments of robots to operators, assigned robots, or as a shared pool in which operators service robots from the population as needed. The experiment compares two-person teams of operators controlling teams of 12 robots each in the assigned-robots condition or sharing control of 24 robots in the shared-pool condition using either waypoint control in the manual condition or autonomous path planning in the autonomy condition. Automating path planning improved system performance, but process measures suggest it may weaken situation awareness.
    關聯: Journal of Cognitive Engineering and Decision Making, 5(2), 186-208
    資料類型: article
    DOI 連結: https://doi.org/10.1177/1555343411409323
    DOI: 10.1177/1555343411409323
    顯示於類別:[資訊管理學系] 期刊論文

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