Resources

Open Science reflects a commitment to transparency, collaboration, and responsible knowledge sharing. It aims to make research outputs accessible at the earliest responsible moment, while protecting participant privacy and respecting ethical boundaries. My approach follows widely adopted Open Science principles, including open access, FAIR data & software, open methods, public engagement, and open educational resources.

On this page, I share selected research materials from my work in Human-Robot Interaction. These include methods, stimuli, analysis scripts, codebooks, and –when ethically possible– datasets. All materials comply with GDPR and ethical guidelines. This page is organized along the research themes that structure my work.

*Work-in-progress: Page is still under construction and will be updated.

How people explain robot behavior

A robust set of human-robot behaviors and some discrepancies.

For the project “How people use theory of mind to explain robot behavior”, I have investigated whether people infer mental states such as beliefs, desires, and intentions to explain robotic agents’ behavior, just as they do for humans. As a first step in our research program, we ran a series of pretests. The goal was to create a pool of stimulus behaviors that are similarly judged on properties of behavior that influence people’s explanations, regardless of whether these behaviors were performed by humans or by robots. We were successful in developing a stimulus behavior pool that can be used to rigorously examine whether people explain robot and human behaviors in similar or distinct ways. However, in the course of identifying this robust set of behaviors, we also discovered several behaviors that showed markedly discrepant judgments on these properties of behavior (i.e., intentionality, surprisingness, and desirability). These results were published as a Late-Breaking-Report at HRI 2018. Below, you can find the full set of behavior stimuli.

RobotBehaviorsAndDiscrepencies.pdf

Anticipated acceptance of domestic social robots

A theoretical model of domestic social robot acceptance.

By assessing several theories and models explaining and predicting the acceptance of technology, I have developed a theory-based model of social robot acceptance which was tested among the general Dutch population (n = 1168 participants) using structural equation modeling. The results show a strong role of normative believes that both directly and indirectly affect the anticipated acceptance of social robots for domestic purposes. Below, you can find the full theoretical model as well as the full survey with all items.

theoreticalmodelofdomesticsocialrobotacceptance.pdf

anticipatedacceptancesurvey_fullenglishversion.pdf

Social & Moral Agency

This line examines when, why, and to what extent people perceive robots as intentional moral agents (capable of having goals, motives, or moral responsibilities), and how these attributions shape interaction and acceptance.

Shared materials include:

Stimuli & vignettes
Coding schemes
Aggregated datasets
Preregistrations

Robotic Social Norms

This research investigates how people judge robots that violate social norms (cheating or behaving unfairly), and how these violations shape human behavior and moral responses.

Shared materials include:

Stimuli & vignettes
Behavioral coding schemes
Aggregated datasets

Misconduct & Mistreatment

This research examines how and why people mistreat robots, and how robots’ own norm violations influence human behavior. This theme examines why people sometimes engage in misconduct toward robots (including prejudice, discrimination, and even aggression).

Shared material include:

Stimuli & vignettes
Behavioral coding schemes
Observation protocols
Aggregated datasets

Repair Strategies

This theme investigates how robots can respond to their own norm violations through explanations, apologies, or other communicative strategies that help repair trust and restore the human-robot relationship.

Shared material include:

Stimuli & vignettes
Robot dialogue scripts
Experimental protocols
Aggregated datasets

Social Robot Acceptance

My PhD research examined the long‑term acceptance and non‑use of social robots in domestic environments, combining anticipated use scenarios with a six‑month in‑home study. It revealed how usefulness, evolving user experiences, and anthropomorphic responses shape people’s decisions to adopt, continue, or abandon social robots over time.

Shared materials include:

Study protocols
Questionnaires & scales
Analysis scripts
Aggregated datasets

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