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Article

How Much to Explain? Personalised Explainability for a Delivery Robot that Adapts the Level of Detail

2026-05-14

Abstract excerpt

<title>Abstract</title> <p>Personalised explanations that adapt the level of detail based on users' knowledge can improve human-robot interaction by providing appropriate information without overwhelming users. This work presents a month-long deployment of a delivery robot in an office environment with 103 participants, evaluating three explanation strategies: static minimal (describing ``what''), static full (de...

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Literature Corpus work
3ecafc8e-4fac-5a90-bde7-809b4f3415b8
DOI
10.21203/rs.3.rs-9699700/v1
Open publication

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How Much to Explain? Personalised Explainability for a Delivery Robot that Adapts the Level of DetailDOI 10.21203/rs.3.rs-9699700/v1
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