Adapting virtual patient interviews for interviewing skills training of novice healthcare students

Stephanie Carnell, Shivashankar Halan, Michael Crary, Aarthi Madhavan, Benjamin Lok

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

The purpose of this paper is to explore the potential of using a selection-based interaction method to adapt virtual patient interviews for training novice healthcare students in interviewing skills. We outline a method for identifying topics about which novices are likely to ask by reviewing previous transcripts of novice interactions, and results indicate that the method was successful in such identification. Additionally, we examine the possibility of using a selection-based virtual patient as a modeling tool for learning interviewing skills. Our initial results support the possibility of such question modeling and reveal that healthcare students already view selection-based virtual patient interactions as modeling opportunities.

Original languageEnglish (US)
Title of host publicationIntelligent Virtual Agents - 15th International Conference, IVA 2015, Proceedings
EditorsWillem-Paul Brinkman, Joost Broekens, Dirk Heylen
PublisherSpringer Verlag
Pages50-59
Number of pages10
ISBN (Print)9783319219950
DOIs
StatePublished - 2015
Event15th International Conference on Intelligent Virtual Agents, IVA 2015 - Delft, Netherlands
Duration: Aug 26 2015Aug 28 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9238
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15th International Conference on Intelligent Virtual Agents, IVA 2015
Country/TerritoryNetherlands
CityDelft
Period8/26/158/28/15

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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