Mirroring to Build Trust in Digital Assistants
Autor: | Nicholas Apostoloff, Katherine Metcalf, Barry-John Theobald, Robert Lee, Russ Webb, Garrett Weinberg, Ing-Marie Jonsson |
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Rok vydání: | 2019 |
Předmět: |
FOS: Computer and information sciences
Measure (data warehouse) Computer Science - Computation and Language Conversational style Computer Science - Artificial Intelligence Computer science media_common.quotation_subject 05 social sciences Computer Science - Human-Computer Interaction 050105 experimental psychology Human-Computer Interaction (cs.HC) 030507 speech-language pathology & audiology 03 medical and health sciences Artificial Intelligence (cs.AI) Human–computer interaction Personality 0501 psychology and cognitive sciences 0305 other medical science Computation and Language (cs.CL) Mirroring media_common |
Zdroj: | INTERSPEECH |
Popis: | We describe experiments towards building a conversational digital assistant that considers the preferred conversational style of the user. In particular, these experiments are designed to measure whether users prefer and trust an assistant whose conversational style matches their own. To this end we conducted a user study where subjects interacted with a digital assistant that responded in a way that either matched their conversational style, or did not. Using self-reported personality attributes and subjects' feedback on the interactions, we built models that can reliably predict a user's preferred conversational style. Preprint |
Databáze: | OpenAIRE |
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