Visual communication and trust in the health domain

Quang Vinh Nguyen; Paul J. Kennedy; Simeon J. Simoff; Daniel R. Catchpoole

doi:10.1201/9781003292357-10

Visual communication and trust in the health domain

Quang Vinh Nguyen, Paul J. Kennedy, Simeon J. Simoff, Daniel R. Catchpoole

Western Sydney University

Research output: Chapter in Book / Conference Paper › Chapter

Abstract

Visual communication and user trust are always challenges in the health domain where conservativeness, precision, and domain knowledge can outweigh the validity of the outcomes in the analytical methods and processes. It is crucial to provide better awareness and understanding to domain experts, model developers, and even patients who might be conscious of their condition and how a treatment or a diagnosis is decided for them. This chapter contributes a discussion on trust and its issues in health data-driven science and how trust should be associated with analytical and computational processes, which are enhanced by visualisation and interaction. We also provide brief guidance on the models and methods for improving interpretability and trust in the health domain.

Original language	English
Title of host publication	Data Driven Science for Clinically Actionable Knowledge in Diseases
Editors	Daniel R. Catchpoole, Simeon J. Simoff, Paul J. Kennedy, Quang Vinh Nguyen
Place of Publication	U.S.
Publisher	CRC Press
Pages	215-226
Number of pages	12
Edition	First edition
ISBN (Electronic)	9781003800286
ISBN (Print)	9781032273532
DOIs	https://doi.org/10.1201/9781003292357-10
Publication status	Published - 6 Dec 2023

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10.1201/9781003292357-10

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title = "Visual communication and trust in the health domain",

abstract = "Visual communication and user trust are always challenges in the health domain where conservativeness, precision, and domain knowledge can outweigh the validity of the outcomes in the analytical methods and processes. It is crucial to provide better awareness and understanding to domain experts, model developers, and even patients who might be conscious of their condition and how a treatment or a diagnosis is decided for them. This chapter contributes a discussion on trust and its issues in health data-driven science and how trust should be associated with analytical and computational processes, which are enhanced by visualisation and interaction. We also provide brief guidance on the models and methods for improving interpretability and trust in the health domain.",

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Visual communication and trust in the health domain. / Nguyen, Quang Vinh; Kennedy, Paul J.; Simoff, Simeon J. et al.
Data Driven Science for Clinically Actionable Knowledge in Diseases. ed. / Daniel R. Catchpoole; Simeon J. Simoff; Paul J. Kennedy; Quang Vinh Nguyen. First edition. ed. U.S.: CRC Press, 2023. p. 215-226.

Research output: Chapter in Book / Conference Paper › Chapter

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AB - Visual communication and user trust are always challenges in the health domain where conservativeness, precision, and domain knowledge can outweigh the validity of the outcomes in the analytical methods and processes. It is crucial to provide better awareness and understanding to domain experts, model developers, and even patients who might be conscious of their condition and how a treatment or a diagnosis is decided for them. This chapter contributes a discussion on trust and its issues in health data-driven science and how trust should be associated with analytical and computational processes, which are enhanced by visualisation and interaction. We also provide brief guidance on the models and methods for improving interpretability and trust in the health domain.

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PB - CRC Press

CY - U.S.

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Visual communication and trust in the health domain

Abstract

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