Shared planning for building human-agent therapeutic alliance

Amal Abdulrahman; Deborah Richards; Samuel Mascarenhas

doi:10.1145/3267851.3267873

Shared planning for building human-agent therapeutic alliance

Amal Abdulrahman, Deborah Richards, Samuel Mascarenhas

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

Abstract

Treatment non-adherence is a major worldwide problem that results in poor health outcomes among patients with various medical conditions. A good therapist-patient therapeutic alliance and face-to-face communication are regarded as key factors in improving adherence. In this research, we propose the extension of the existing agent architecture FAtiMA to design an embodied conversational agent that plays the role of the therapist by incorporating a shared mental model (SMM) and hybrid state-based and task-based dialogue engine.

Original language	English
Title of host publication	Proceedings of the 18th International Conference on Intelligent Virtual Agents, IVA 2018
Place of Publication	New York, NY
Publisher	Association for Computing Machinery, Inc
Pages	335-336
Number of pages	2
ISBN (Electronic)	9781450360135
DOIs	https://doi.org/10.1145/3267851.3267873
Publication status	Published - 5 Nov 2018
Event	18th ACM International Conference on Intelligent Virtual Agents, IVA 2018 - Sydney, Australia Duration: 5 Nov 2018 → 8 Nov 2018

Conference

Conference	18th ACM International Conference on Intelligent Virtual Agents, IVA 2018
Country/Territory	Australia
City	Sydney
Period	5/11/18 → 8/11/18

Keywords

Dialogue management
FAtimA
Negotiation
Shared planning
Therapeutic alliance
Transtheoretic model

Access to Document

10.1145/3267851.3267873

Cite this

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title = "Shared planning for building human-agent therapeutic alliance",

abstract = "Treatment non-adherence is a major worldwide problem that results in poor health outcomes among patients with various medical conditions. A good therapist-patient therapeutic alliance and face-to-face communication are regarded as key factors in improving adherence. In this research, we propose the extension of the existing agent architecture FAtiMA to design an embodied conversational agent that plays the role of the therapist by incorporating a shared mental model (SMM) and hybrid state-based and task-based dialogue engine.",

keywords = "Dialogue management, FAtimA, Negotiation, Shared planning, Therapeutic alliance, Transtheoretic model",

author = "Amal Abdulrahman and Deborah Richards and Samuel Mascarenhas",

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doi = "10.1145/3267851.3267873",

language = "English",

pages = "335--336",

booktitle = "Proceedings of the 18th International Conference on Intelligent Virtual Agents, IVA 2018",

publisher = "Association for Computing Machinery, Inc",

note = "18th ACM International Conference on Intelligent Virtual Agents, IVA 2018 ; Conference date: 05-11-2018 Through 08-11-2018",

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Abdulrahman, A, Richards, D & Mascarenhas, S 2018, Shared planning for building human-agent therapeutic alliance. in Proceedings of the 18th International Conference on Intelligent Virtual Agents, IVA 2018. Association for Computing Machinery, Inc, New York, NY, pp. 335-336, 18th ACM International Conference on Intelligent Virtual Agents, IVA 2018, Sydney, Australia, 5/11/18. https://doi.org/10.1145/3267851.3267873

Shared planning for building human-agent therapeutic alliance. / Abdulrahman, Amal; Richards, Deborah; Mascarenhas, Samuel.

Proceedings of the 18th International Conference on Intelligent Virtual Agents, IVA 2018. New York, NY : Association for Computing Machinery, Inc, 2018. p. 335-336.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AU - Mascarenhas, Samuel

PY - 2018/11/5

Y1 - 2018/11/5

N2 - Treatment non-adherence is a major worldwide problem that results in poor health outcomes among patients with various medical conditions. A good therapist-patient therapeutic alliance and face-to-face communication are regarded as key factors in improving adherence. In this research, we propose the extension of the existing agent architecture FAtiMA to design an embodied conversational agent that plays the role of the therapist by incorporating a shared mental model (SMM) and hybrid state-based and task-based dialogue engine.

AB - Treatment non-adherence is a major worldwide problem that results in poor health outcomes among patients with various medical conditions. A good therapist-patient therapeutic alliance and face-to-face communication are regarded as key factors in improving adherence. In this research, we propose the extension of the existing agent architecture FAtiMA to design an embodied conversational agent that plays the role of the therapist by incorporating a shared mental model (SMM) and hybrid state-based and task-based dialogue engine.

KW - Dialogue management

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KW - Negotiation

KW - Shared planning

KW - Therapeutic alliance

KW - Transtheoretic model

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BT - Proceedings of the 18th International Conference on Intelligent Virtual Agents, IVA 2018

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T2 - 18th ACM International Conference on Intelligent Virtual Agents, IVA 2018

Y2 - 5 November 2018 through 8 November 2018

ER -

Shared planning for building human-agent therapeutic alliance

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Keywords

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