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Designing for learnability in human-robot communication
KTH, Människa-datorinteraktion, MDI.ORCID-id: 0000-0002-3838-253X
KTH, Numerisk analys och datalogi, NADA.
2003 (Engelska)Ingår i: IEEE Transactions on Industrial Electronics, ISSN 0278-0046, E-ISSN 1557-9948, Vol. 50, nr 4, s. 644-650Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

In a future scenario where many devices can be controlled using the voice, easy and intuitive access will be crucial for avoiding cognitive overload when users are faced with many different systems and interaction models. We propose a model for interaction with spoken language interfaces applied to heterogeneous tasks for service robots, based on the idea of using a family of lifelike characters,, We argue that we can signal important features of the speech interface by using certain visual cues. The aim is to facilitate learning and transfer between interfaces. We discuss challenges for dialogue design affecting learnability in the light of the speech interface constructed for our full-scale robot prototype CERO.

Ort, förlag, år, upplaga, sidor
2003. Vol. 50, nr 4, s. 644-650
Nyckelord [en]
dialogue, human-robot interaction, learning, speech interface, ubiquitous computing
Nationell ämneskategori
Människa-datorinteraktion (interaktionsdesign)
Identifikatorer
URN: urn:nbn:se:sh:diva-26677ISI: 000184376400003OAI: oai:DiVA.org:sh-26677DiVA, id: diva2:796492
Tillgänglig från: 2010-08-10 Skapad: 2015-03-19 Senast uppdaterad: 2023-08-28Bibliografiskt granskad

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Green, Anders

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