Artur Pilacinski, principal investigator of the research project 260/22 - TrustyCobots: Human-like or machine-like? Tracking psychophysiological components of trust in human-robot collaboration, supported by the BIAL Foundation, assessed, using both subjective and objective measures (heart rate, pupil size and task completion time), the human trust when collaborating with eyed and non-eyed robots of the same type. Although humans seem to report marginally higher trust in eyed robots, they showed larger pupil size and faster task completion when interacting with robots without eyes, suggesting a more comfortable cooperation with them. This indicates that humans might not need human-like machines to trust and work with them. Instead, they seem to collaborate better with machine-like, eyeless machines. To know more about this study, read the paper The robot eyes don't have it. The presence of eyes on collaborative robots yields marginally higher user trust but lower performance published in the journal Heliyon.
ABSTRACT
Eye gaze is a prominent feature of human social lives, but little is known on whether fitting eyes on machines makes humans trust them more. In this study we compared subjective and objective markers of human trust when collaborating with eyed and non-eyed robots of the same type. We used virtual reality scenes in which we manipulated distance and the presence of eyes on a robot's display during simple collaboration scenes. We found that while collaboration with eyed cobots resulted in slightly higher subjective trust ratings, the objective markers such as pupil size and task completion time indicated it was in fact less comfortable to collaborate with eyed robots. These findings are in line with recent suggestions that anthropomorphism may be actually a detrimental feature of collaborative robots. These findings also show the complex relationship between human objective and subjective markers of trust when collaborating with artificial agents.
