During haptic communication, the central nervous system compensates distinctly for delay and noise

PLoS Comput Biol. 2024 Nov 6;20(11):e1012037. doi: 10.1371/journal.pcbi.1012037. eCollection 2024 Nov.

Abstract

Physically connected humans have been shown to exploit the exchange of haptic forces and tactile information to improve their performance in joint action tasks. As human interactions are increasingly mediated through robots and networks it is important to understand the impact that network features such as lag and noise may have on human behaviour. In this paper, we investigated interaction with a human-like robot controller that provides similar haptic communication behaviour as human-human interaction and examined the influence and compensation mechanisms for delay and noise on haptic communication. The results of our experiments show that participants can perceive a difference between noise and delay, and make use of compensation mechanisms to preserve performance in both cases. However, while noise is compensated for by increasing co-contraction, delay compensation could not be explained by this strategy. Instead, computational modelling suggested that a distinct mechanism is used to compensate for the delay and yield an efficient haptic communication.

MeSH terms

  • Adult
  • Central Nervous System / physiology
  • Communication
  • Computational Biology
  • Computer Simulation
  • Female
  • Humans
  • Male
  • Models, Neurological
  • Robotics*
  • Touch / physiology
  • Touch Perception / physiology
  • Young Adult

Grants and funding

This work was supported in part by the EU H2020 grant ICT-871803 CONBOTS and by the UK EPSRC EP/R026092/1 FAIRSPACE program (all to EB). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.