Benchmark Movement Data Set for Trust Assessment in Human Robot Collaboration

Author:

Rehm Matthias1ORCID,Hald Kasper1ORCID,Pontikis Ioannis1ORCID

Affiliation:

1. Technical Faculty of IT and Design, Aalborg University, Aalborg, Denmark

Funder

EU Commission

Publisher

ACM

Reference12 articles.

1. Kasper Hald and Matthias Rehm. 2023. Determining Movement Measures for Trust Assessment in Human-Robot Collaboration Using IMU-Based Motion Tracking. In 32nd IEEE International Conference on Robot and Human Interactive Communication. IEEE, United States.

2. Human-Robot Trust Assessment Using Motion Tracking & Galvanic Skin Response

3. Peter A Hancock, Deborah R Billings, Kristin E Schaefer, Jessie YC Chen, Ewart J De Visser, and Raja Parasuraman. 2011. A meta-analysis of factors affecting trust in human-robot interaction. Human factors, Vol. 53, 5 (2011), 517--527.

4. Real-Time Sensing of Trust in Human-Machine Interactions**This material is based upon work supported by the National Science Foundation under Award No. 1548616. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

5. John D Lee and Katrina A See. 2004. Trust in automation: Designing for appropriate reliance. Human factors, Vol. 46, 1 (2004), 50--80.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automatic Trust Estimation From Movement Data in Industrial Human-Robot Collaboration Based on Deep Learning;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

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