Human–Human Handover Tasks and How Distance and Object Mass Matter

Author:

Hansen Clint1,Arambel Paula23,Ben Mansour Khalil2,Perdereau Véronique4,Marin Frédéric2

Affiliation:

1. Aspetar Qatar Orthopaedic and Sports Medicine Hospital, Doha, Qatar

2. Sorbonne Universités, Université de Technologie de Compiègne (UTC), Biomécanique et Bioingénierie, Compiègne, France

3. Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA, USA

4. Sorbonne Universités, Université Pierre et Marie Curie (UPMC), Institut des Systèmes Intelligents et de Robotique (ISIR), Paris, France

Abstract

We investigated the coordination between two individuals during object handovers. Ten participants (eight males, two females; 26.0 ± 5.0 years, 72.7 ± 13.5 kg, 1.73 ± 0.8 m) arranged in pairs (a giver and a receiver), passed an object from the giver to the receiver at a self-selected speed. A motion capture system quantified the giver and the receiver’s motion simultaneously. Three interpersonal distances and three object masses were chosen to study the handover. We hypothesized that (a) the handover occurs at half of the interpersonal distance between the giver and receiver and (b) the handover height depends on the objects’ mass. Taken together, our results show that the handover strongly depends on the interpersonal distance between the giver and receiver, while object mass related only to handover duration.

Publisher

SAGE Publications

Subject

Sensory Systems,Experimental and Cognitive Psychology

Cited by 9 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. Optimizing Robot-to-Human Object Handovers using Vision-based Affordance Information;2023 IEEE International Conference on Imaging Systems and Techniques (IST);2023-10-17

2. A Multimodal Data Set of Human Handovers with Design Implications for Human-Robot Handovers;2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN);2023-08-28

3. A systematic review of handover actions in human dyads;Frontiers in Psychology;2023-05-04

4. An adaptive learning and control framework based on dynamic movement primitives with application to human–robot handovers;Robotics and Autonomous Systems;2022-02

5. Object Handovers: A Review for Robotics;IEEE Transactions on Robotics;2021-12

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