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Eduardo Araújo

dblp:419/1147 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2026
0000-0001-7574-9284ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 1 first-author · 2 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Usability and user experience research · 44% Immersive interaction · 44% Human-robot interaction · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Usability and user experience research
testbed
1.012026
PEHRCIVE: Platform for Evaluating Human-Robot Collaboration and Interaction in Virtual Environments · HRI 2026
Immersive interaction
virtual reality
1.012026
PEHRCIVE: Platform for Evaluating Human-Robot Collaboration and Interaction in Virtual Environments · HRI 2026
Human-robot interaction
human-robot collaboration
0.312026
PEHRCIVE: Platform for Evaluating Human-Robot Collaboration and Interaction in Virtual Environments · HRI 2026

Methods — techniques the papers use, named apart from their topics

virtual reality · 1.0questionnaire · 1.0physiological sensing · 1.0
YearPublicationVenuePosition
2026 PEHRCIVE: Platform for Evaluating Human-Robot Collaboration and Interaction in Virtual Environments
abstract
As Human-Robot Interaction (HRI) and Human-Robot Collaboration (HRC) integrate into society, there's a growing need for flexible, safe, and cost-effective methods to evaluate HRI and HRC from a human perspective. Current evaluation techniques, which often rely on physical hardware, are limited by high costs, safety risks, and low replicability. To address these challenges, we introduce Platform for Evaluating Human-Robot Collaboration and Interaction in Virtual Environments (PEHRCIVE), a software tool built with Unity that leverages Virtual Reality (VR) to provide a safe, flexible, and low-cost research platform. PEHRCIVE provides a customizable, immersive VR environment for HRI and HRC research, based on a collaborative interlocking block assembly task, three distinct collaborative robots (Kuka LBR iiwa, Rethink Robotics Sawyer, and Baxter), and sequential and simultaneous collaboration modes. Features include an easily modifiable external configuration file, a robust data logging system with timestamps and task-specific metrics, and customizable answered-in-VR questionnaires for data collection. PEHRCIVE was validated with 36 participants by collecting physiological and psychological data and responses to the Godspeed Questionnaire Series and VR Presence questionnaire. Participants reported a high sense of presence and a positive VR experience, confirming the platform's effectiveness as a research tool. PEHRCIVE facilitates the design, testing, and evaluation of HRI and HRC experiments more efficiently and safely, accelerating progress for the research community.
Eduardo Araújo, Paula Alexandra Silva, Sergi Bermúdez i Badia, Diogo Branco, Artur Pilacinski
HRI1
2025 Quantifying Movement Coordination in Human-Robot Interaction
Michal Jakub Weiss, Eduardo Araújo, Paula Alexandra Silva, Artur Pilacinski, Julian Zubek
CogSci2