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Related Experiment Video

Updated: Jul 7, 2025

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

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Published on: November 24, 2015

Differences in Social Expectations About Robot Signals and Human Signals.

Lorenzo Parenti^1,2, Marwen Belkaid^1,3, Agnieszka Wykowska¹

¹Social Cognition in Human-Robot Interaction, Istituto Italiano di Tecnologia (IIT).

Cognitive Science

|December 22, 2023

Summary

Robot social cues and feedback significantly impact human decision-making. Incongruent signals from robots, like invalid cues paired with positive feedback, slow down human task performance, affecting human-robot interaction.

Keywords:

Human-robot interaction Non-verbal communication Response time Social cues Social decision-making

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Area of Science:

Human-computer interaction
Cognitive psychology
Social robotics

Background:

Decision-making often occurs within social interactions, influenced by communicative signals.
Human interaction with artificial agents, like robots, is increasing.
Understanding how non-human agents' social signals affect human choices is crucial.

Purpose of the Study:

To investigate the influence of robot non-verbal communicative behavior on human decision-making.
To examine how robot cues and feedback affect choices in a social context.

Main Methods:

A two-alternative-choice "Shell Game" task was adapted.
Participants made decisions with a robot avatar providing pre-decision cues and post-decision feedback.
Robot cues (pointing) and feedback (thumbs up/none) were manipulated.

Main Results:

Participants were slower when robot cues were invalid and feedback was positive.
This performance decrease was attributed to incongruent signals violating expectations.
Incongruence between pre- and post-decision signals significantly impacted task performance.

Conclusions:

Robot social signals, particularly when incongruent, significantly influence human decision-making and task performance.
Understanding user expectations of social robots is vital for effective human-robot interaction.
This research highlights the importance of consistent non-verbal communication in human-robot collaborations.