The impact of human-robot multimodal communication on mental workload, usability preference, and expectations of robot behavior

被引:11
|
作者
Abich, Julian [1 ]
Barber, Daniel J. [2 ]
机构
[1] Univ Cent Florida, Inst Simulat & Training, 3100 Technol Pkwy,Suite 333, Orlando, FL 32826 USA
[2] Univ Cent Florida, Inst Simulat & Training, 3100 Technol Pkwy,Suite 306-B, Orlando, FL 32826 USA
关键词
Human-robot interaction; Human-robot teams; Multimodal communication; Multimodal interface; Mental workload; Usability; HAND GESTURES; RECOGNITION; ANXIETY; SPEECH; RECALL; SELF; CUES;
D O I
10.1007/s12193-016-0237-4
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Multimodal communication between humans and autonomous robots is essential to enhance effectiveness of human-robot team performance in complex, novel environments, such as in military intelligence, surveillance, and reconnaissance operations in urban settings. It is imperative that a systematic approach be taken to evaluate the factors that each modality contributes to the user's ability to perform successfully and safely. This paper addresses the effects of unidirectional speech and gesture methods of communication on perceived workload, usability preferences, and expectations of robot behavior while commanding a robot teammate to perform a spatial-navigation task. Each type of communication was performed alone or simultaneously. Results reveal that although the speech-alone condition elicited the lowest level of perceived workload, the usability preference and expectations of robot behavior after interacting through each communication condition was the same. Further, workload ratings between the gesture and speech-gesture conditions were similar indicating systems that employ gesture communication could also support speech communication with little to no additional subjectively perceived cognitive burden on the user. Findings also reveal that workload alone should not be used as a sole determining factor of communication preference during system and task evaluation and design. Additionally, perceived workload did not seem to negatively impact the level of expectations regarding the robot's behavior. Recommendations for future human-robot communication evaluation are provided.
引用
收藏
页码:211 / 225
页数:15
相关论文
共 50 条
  • [31] Multi-robot cooperation for human-robot communication
    Kanda, T
    Ishiguro, H
    Ono, T
    Imai, M
    Mase, K
    IEEE ROMAN 2002, PROCEEDINGS, 2002, : 271 - 276
  • [32] Level of Robot Autonomy and Information Aids in Human-Robot Interaction Affect Human Mental Workload - An Investigation in Virtual Reality
    Kaufeld, Mara
    Nickel, Peter
    DIGITAL HUMAN MODELING AND APPLICATIONS IN HEALTH, SAFETY, ERGONOMICS AND RISK MANAGEMENT. HUMAN BODY AND MOTION, DHM 2019, PT I, 2019, 11581 : 278 - 291
  • [33] Evaluation of Biomechanical and Mental Workload During Human-Robot Collaborative Pollination Task
    Yerebakan, Mustafa Ozkan
    Gu, Yu
    Gross, Jason
    Hu, Boyi
    HUMAN FACTORS, 2025, 67 (02) : 100 - 114
  • [34] A Multimodal Approach to Investigate the Role of Cognitive Workload and User Interfaces in Human-Robot Collaboration
    Kalatzis, Apostolos
    Prabhu, Vishnunarayan Girishan
    Rahman, Saidur
    Stanley, Laura
    Wittie, Mike
    PROCEEDINGS OF THE 25TH INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, ICMI 2023, 2023, : 5 - 14
  • [35] Mental Workload and Task Performance in Peer-Based Human-Robot Teams
    Harriott, Caroline E.
    Buford, Glenna L.
    Adams, Julie A.
    Zhang, Tao
    JOURNAL OF HUMAN-ROBOT INTERACTION, 2015, 4 (02): : 61 - 96
  • [36] Covert Robot-Robot Communication: Human Perceptions and Implications for Human-Robot Interaction
    Williams, Tom
    Briggs, Priscilla
    Scheutz, Matthias
    JOURNAL OF HUMAN-ROBOT INTERACTION, 2015, 4 (02): : 24 - 49
  • [37] Expectations, Intentions, and Actions in Human-Robot Interaction
    Hanheide, Marc
    Lohse, Manja
    Zender, Hendrik
    INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS, 2012, 4 (02) : 107 - 108
  • [38] Expectations, Intentions, and Actions in Human-Robot Interaction
    Marc Hanheide
    Manja Lohse
    Hendrik Zender
    International Journal of Social Robotics, 2012, 4 : 107 - 108
  • [39] Update of Human-Robot Relationship Based on Ethologically Inspired Human-Robot Communication History
    Kanai, Honoka
    Niitsuma, Mihoko
    2016 25TH IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION (RO-MAN), 2016, : 324 - 330
  • [40] A dialogue manager for multimodal human-robot interaction and learning of a humanoid robot
    Holzapfel, Hartwig
    INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION, 2008, 35 (06): : 528 - 535