Push Me: Investigating Perception of Nudge-based Human-Robot Interaction through Force and Torque Sensors

被引:0
|
作者
Kassem, Khaled [1 ]
Saad, Alia [2 ]
Pascher, Max [2 ,3 ]
Schett, Martin [1 ]
Michahelles, Florian [1 ]
机构
[1] TU Wien, Vienna, Austria
[2] Univ Duisburg Essen, Essen, Germany
[3] TU Dortmund Univ, Dortmund, Germany
关键词
D O I
10.1145/3670653.3677487
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Robots are expected to be integrated into human workspaces, which makes the development of effective and intuitive interaction crucial. While vision- and speech-based robot interfaces have been well studied, direct physical interaction has been less explored. However, HCI research has shown that direct manipulation interfaces provide more intuitive and satisfying user experiences, compared to other interaction modes. This work examines how built-in force/torque sensors in robots can facilitate direct manipulation through nudge-based interactions. We conducted a user study (N = 23) to compare this haptic approach with traditional touchscreen interfaces, focusing on workload, user experience, and usability. Our results show that haptic interactions are more engaging and intuitive but also more physically demanding compared to touchscreen interaction. These findings have implications for the design of physical human-robot interaction interfaces. Given the benefits of physical interaction highlighted in our study, we recommend that designers incorporate this interaction method for human-robot interaction, especially at close quarters.
引用
收藏
页码:399 / 407
页数:9
相关论文
共 50 条
  • [21] A Broad Learning System Based Method for Estimating Force in Human-Robot Interaction
    Li, Ruiqing
    Cai, Yanshou
    Tang, Biwei
    Luo, Jing
    Pang, Muye
    Xiang, Kui
    Fu, Jian
    2022 6TH INTERNATIONAL CONFERENCE ON ROBOTICS, CONTROL AND AUTOMATION (ICRCA 2022), 2022, : 40 - 44
  • [22] Generating Association-Based Motion through Human-Robot Interaction
    Motomura, Satona
    Kato, Shohei
    Itoh, Hidenori
    PRINCIPLES OF PRACTICE IN MULTI-AGENT SYSTEMS, 2009, 5925 : 389 - 402
  • [23] Human Perception based Criminal Identification through Human Robot Interaction
    Singh, Avinash Kumar
    Baranwal, Neha
    Nandi, G. C.
    2015 EIGHTH INTERNATIONAL CONFERENCE ON CONTEMPORARY COMPUTING (IC3), 2015, : 196 - 201
  • [24] Towards an intuitive human-robot interaction based on hand gesture recognition and proximity sensors
    Al, Gorkem Anil
    Estrela, Pedro
    Martinez-Hernandez, Uriel
    2020 IEEE INTERNATIONAL CONFERENCE ON MULTISENSOR FUSION AND INTEGRATION FOR INTELLIGENT SYSTEMS (MFI), 2020, : 330 - 335
  • [25] Integrating Graph-Based Vision Perception to Spoken Conversation in Human-Robot Interaction
    Aguilar, Wendy
    Pineda, Luis A.
    BIO-INSPIRED SYSTEMS: COMPUTATIONAL AND AMBIENT INTELLIGENCE, PT 1, 2009, 5517 : 789 - 796
  • [26] An Active Strategy for Safe Human-Robot Interaction Based on Visual-Tactile Perception
    Xu, Caiyue
    Zhou, Yanmin
    He, Bin
    Wang, Zhipeng
    Zhang, Changming
    Sang, Hongrui
    Liu, Hao
    IEEE SYSTEMS JOURNAL, 2023, 17 (04): : 5555 - 5566
  • [27] Adaptive Gait Training of a Lower Limb Rehabilitation Robot Based on Human-Robot Interaction Force Measurement
    Yu, Fuyang
    Liu, Yu
    Wu, Zhengxing
    Tan, Min
    Yu, Junzhi
    CYBORG AND BIONIC SYSTEMS, 2024, 5
  • [28] Iterative Learning-Based Robotic Controller With Prescribed Human-Robot Interaction Force
    Xing, Xueyan
    Maqsood, Kamran
    Huang, Deqing
    Yang, Chenguang
    Li, Yanan
    IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2022, 19 (04) : 3395 - 3408
  • [29] A Gesture-Based Natural Human-Robot Interaction Interface With Unrestricted Force Feedback
    Liang, Yinhao
    Du, Guanglong
    Li, Chunquan
    Chen, Chuxin
    Wang, Xueqian
    Liu, Peter X.
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 71
  • [30] Research on Interaction Force for the Human-robot System based on Double People Walking Experiments
    Yang, Ping
    Leng, Yuquan
    Fu, Chenglong
    2022 INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (ICARM 2022), 2022, : 1098 - 1103