Using communication mechanisms derived from social cues in industrial autonomous mobile robots to improve interactions.

Can social cues for industrial autonomous mobile robots, improve human-robot interactions?

Why it matters

People’s tendency to interpret robots’ behaviours as having human-like characteristics can lead them to misinterpret their intentions by attributing meaning to neutral behaviours and actions. These minor transgressions of social norms can be perceived as aggression leading to negative associations. Research has shown that social cues displayed by robots communicate important information, such as goals and intentions. However, most of the work on social cues in human-robot interaction (HRI) has been done in the field of social robotics, using humanoid robots. There is very little research on social cue-derived communication methods applied to appearance-constrained industrial Autonomous Mobile Robots (AMRs).


Project Overview

Therefore, the research aim is to determine how people perceive interactions with industrial AMRs and whether communication mechanisms derived from social cues could improve collaboration during proximate interactions. This understanding is crucial to facilitate the accurate interpretation of industrial AMRs behaviours and actions, thereby mitigating negative experiences through design.


Project Outcomes: 

Events:

  • QUT’s Master of Philosophy Research Symposium (Sep 2022)
  • OzCHI 2022 – HRC Workshop: Empowering People in Human-Robot Collaboration (Nov-Dec 2022)
  • Design for Change Symposium (July 2022)

Publications:

Dwyer, James, Gomez, Rafael, Donovan, Jared, & Brophy, Claire (2022) Assessing Right-of-Way with Autonomous Mobile Robots. OZCHI 2022. [Conference Paper]

Dwyer, James, Gomez, Rafael, Donovan, Jared, & Brophy, Claire (2021) Advancing Human-Robot Interaction Within Industrial Settings; What role might social cues play in the future of robotic interface design? BMW Group + QUT Design Academy. [Working Paper]

Dwyer, James, Gomez, Rafael, Donovan, Jared, & Brophy, Claire (2021) Autonomous Mobile Robots: Opportunities and challenges. BMW Group + QUT Design Academy, Brisbane, Australia. [Working Paper]

Dwyer, James, Gomez, Rafael, Donovan, Jared, & Brophy, Claire (2021) The Future of Human-Robot Interfaces in Factory Settings. BMW Group + QUT Design Academy. [Working Paper]


Project Team

Chief Investigator

James Dwyer

Supervisors:

Principal Supervisor: A/Prof Rafael Gomez
Associate Supervisor: A/Prof Jared Donovan 
Associate Supervisor: Claire Brophy