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2021 | OriginalPaper | Chapter

Authoring Negotiation Content and Programming Simulated Patients

Authors : Volha Petukhova, Firuza Sharifullaeva, Dietrich Klakow

Published in: Conversational Dialogue Systems for the Next Decade

Publisher: Springer Singapore

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Abstract

Competent negotiation with simulated patients can save expenses in medical education and improve outcomes for all parties involved. The use of simulated agents is beneficial for a study of human behaviour and cognition due to the possibility to create and manage a wide range of specific social situations. Building plausible cognitive models underlying the agent’s intelligent behaviour from scratch is challenging and costly. Interaction designers and cognitive engineers require sufficient background knowledge to decide which domain information, resources and activities are important. Domain experts require sufficient understanding of human interaction and social cognition. All may lack advanced software development skills and an access to sufficient amount of authentic data. This paper presents a methodology to author cognitive agents and interactions with them. Authors can easily encode agents’ knowledge and equip them with different sets of preferences and decision making strategies. This offers abundant opportunities for various social simulations: to create and control situations in which doctor’s decision making and negotiation skills can be applied and assessed; employ and relate specific action patterns to various strategies and sociopragmatic variables of interactional power, social distance and degree of imposition; predict outcomes and explain why the choices made lead to what specific outcomes. The proposed approach also enables efficient collection of significant amount of annotated dialogue data and can be applied to model various medical and not medical negotiation scenarios.

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previous chapter Towards Personalization of Spoken Dialogue System Communication Strategies

next chapter A Spanish Corpus for Talking to the Elderly

Available only for authorised users

The MIB corpus is released in the Linguistic Data Consortium catalogue under the reference number LDC2017S11 https://catalog.ldc.upenn.edu/LDC2017S11.

A Java Simulation and Development Environment for the ACT-R was used http://cog.cs.drexel.edu/act-r/about.php.

In real life, doctors and patient often do not meet only once, but share certain interaction history with each other.

LICA stands for Learning Interactive Cognitive Agents.

https://www.webmd.com/.

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Title: Authoring Negotiation Content and Programming Simulated Patients
Authors: Volha Petukhova
Firuza Sharifullaeva
Dietrich Klakow
Publisher: Springer Singapore
Book: Conversational Dialogue Systems for the Next Decade
Print ISBN: 978-981-15-8394-0

Electronic ISBN: 978-981-15-8395-7

Copyright Year: 2021
DOI: https://doi.org/10.1007/978-981-15-8395-7_12

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