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Emotion Regulation in Human-Robot Interaction: Insights from Video and Game Simulations

Emotion Regulation in Human-Robot InteractionAcademicdocument

Assessment outcome

total 2/4 (actionability 1 + authority 1); currency unscored, so pro-rated to 3.0/6

Total2/6
Actionability1/2
Authority1/2
Currency—

Authorship & scope

Attribution (G4 evidence)

The paper lists multiple named authors from the University of Pittsburgh and Honda Research Institute.

Issuer authority (evidence)

Score 1: Published by the Human Factors and Ergonomics Society annual meeting proceedings, representing a reputable institution acting officially.

Issuers, who it governs, legal force and content are on the full record.

Eligibility gates

G1 · Retrievablepass

HTTP 200, 1926 words of full text extracted

G2 · AI nexuspass

The paper focuses on artificial intelligence and robotic systems regulating human emotions in interactions.

G3 · Governance nexuspass

It addresses user trust, decision-making, and interaction quality regarding robot emotional regulation.

G4 · Attributablepass

The paper lists multiple named authors from the University of Pittsburgh and Honda Research Institute.

G5 · In forcepass

No indicators of repeal, retraction, or superseding notice are present in the text.

Scored criteria

Actionability

1/2

Score 1: Provides general direction and methodological guidance rather than binding, specific compliance obligations or steps.

Future researchers can choose between these methods based on the balance they seek between impact and realism.

Authority

1/2

Score 1: Published by the Human Factors and Ergonomics Society annual meeting proceedings, representing a reputable institution acting officially.

Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2025, Vol. 69(1) 1025 –1027 Copyright © 2025 Human Factors and Ergonomics Society

Currency

—

computed: no publish/modified date found on the page (never guessed)

Classification

Coverage topicEmotion Regulation in Human-Robot Interaction
PerspectiveAcademic
Lifecycle stage7 Use & impact
Layerhuman
Granularitydocument