Distraction by a Human or a Robot: Effects of Perceptual Load and Action Type

This study investigates how humans process and attend to robot actions compared to human actions under varying cognitive demands. Using a perceptual load paradigm, we examined whether robots capture attention similarly to humans and how this is influenced by the nature of their actions. Participants performed a letter detection task while being presented with task-irrelevant videos of either human or robot agents performing communicative or noncommunicative actions. Results demonstrated that both humans and robots captured attention through their actions, particularly when these actions were communicative. Under high perceptual load conditions, human distractors caused more interference than robot distractors, suggesting that agent identity becomes particularly important when cognitive resources are limited. These findings provide insights into how humans process robot actions in attentiondemanding situations and may have important implications for designing robot behaviors in operational contexts.

Authors

Institutions

Publication Details

Published
2025-03-04
DOI
https://doi.org/10.1109/hri61500.2025.10974021
Primary Topic
Social Robot Interaction and HRI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Distraction by a Human or a Robot: Effects of Perceptual Load and Action Type

Tuğçe Nur Pekçetin, Burcu A. Ürgen, Ataol Burak Özsu, Defne Şiir Faydali
Social Robot Interaction and HRI
article

Distraction by a Human or a Robot: Effects of Perceptual Load and Action Type

Tuğçe Nur Pekçetin, Burcu A. Ürgen, Ataol Burak Özsu, Defne Şiir Faydali
article en

Abstract

This study investigates how humans process and attend to robot actions compared to human actions under varying cognitive demands. Using a perceptual load paradigm, we examined whether robots capture attention similarly to humans and how this is influenced by the nature of their actions. Participants performed a letter detection task while being presented with task-irrelevant videos of either human or robot agents performing communicative or noncommunicative actions. Results demonstrated that both humans and robots captured attention through their actions, particularly when these actions were communicative. Under high perceptual load conditions, human distractors caused more interference than robot distractors, suggesting that agent identity becomes particularly important when cognitive resources are limited. These findings provide insights into how humans process robot actions in attentiondemanding situations and may have important implications for designing robot behaviors in operational contexts.

Bilkent University (TR)
Reduced inequalities
Openalex Percentile: Top 89%
Social Robot Interaction and HRI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Distraction by a Human or a Robot: Effects of Perceptual Load and Action Type — Tuğçe Nur Pekçetin, Burcu A. Ürgen, et al. · (2025) | TGRS Research Map | TGRS