Robot Transparency and Anthropomorphic Attribute Effects on Human-Robot Interactions.

Journal: Sensors (Basel, Switzerland)
Published Date:

Abstract

Anthropomorphic robots need to maintain effective and emotive communication with humans as automotive agents to establish and maintain effective human-robot performances and positive human experiences. Previous research has shown that the characteristics of robot communication positively affect human-robot interaction outcomes such as usability, trust, workload, and performance. In this study, we investigated the characteristics of transparency and anthropomorphism in robotic dual-channel communication, encompassing the voice channel (low or high, increasing the amount of information provided by textual information) and the visual channel (low or high, increasing the amount of information provided by expressive information). The results showed the benefits and limitations of increasing the transparency and anthropomorphism, demonstrating the significance of the careful implementation of transparency methods. The limitations and future directions are discussed.

Authors

  • Jianmin Wang
  • Yujia Liu
    The First School of Clinical Medicine, Lanzhou University, Lanzhou, China.
  • Tianyang Yue
    Car Interaction Design Lab, College of Arts and Media, Tongji University, Shanghai 201804, China.
  • Chengji Wang
    Car Interaction Design Lab, College of Arts and Media, Tongji University, Shanghai 201804, China.
  • Jinjing Mao
    Car Interaction Design Lab, College of Arts and Media, Tongji University, Shanghai 201804, China.
  • Yuxi Wang
    Department of Pulmonary and Critical Care Medicine, Targeted Tracer Research and Development Laboratory, Institute of Respiratory Health, Frontiers Science Center for Disease-Related Molecular Network, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, China; Frontiers Medical Center, Tianfu Jincheng Laboratory, Chengdu, 610093, Sichuan, China. Electronic address: yuxiwang@scu.edu.cn.
  • Fang You
    Car Interaction Design Lab, College of Arts and Media, Tongji University, Shanghai 201804, China.