Development of mental model in understanding users' thought processes for the evaluation and functional enhancement of clinical decision support systems

Ifeoluwa Agboola*

*Corresponding author for this work

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

Abstract

Clinical Decision Support Systems (CDSSs) are developed to help experts in making decisions; however, these systems tend to go out of date quickly due to changing needs of the users or simply because these systems are not user centred. The users' mental model which reflects their view of the system is considered to be a major starting point for system evaluation and upgrade. The users' thought processes of how users' interact with the system is a major point in understanding the processes or the navigational paths users' undergo in achieving the goal of using the system. This is considered to be a major starting point for system evaluation and upgrade. This research examines the elicitation of users' mental models using Galatea Risk and Safety Tool (GRiST); a web based mental health decision support system. This is to gain a better understanding of how the system is used in the workplace and to identify usability issues resulting from any mismatch or gap between the conceptual model of the system and the mental model of the users which may infer decision making of the system. A novel framework that aims to mine users' perspectives of the system is proposed. The framework further explores the data gotten to help in the system evaluation and re-design. The methodology used involve the process of monitoring users' interactions, mining the data, con-structing mental models using repertory grid technique and concept mapping to understand users' understanding of the system and to analyse the findings in investigating and resolving usability and system's functionalities issues.

Original languageEnglish
Title of host publicationProceedings - 18th IEEE International Conference on Data Mining Workshops, ICDMW 2018
EditorsJeffrey Yu, Zhenhui Li, Feida Zhu, Hanghang Tong
PublisherIEEE
Pages1493-1494
Number of pages2
Volume2018-November
ISBN (Electronic)978-1-5386-9288-2
ISBN (Print)978-1-5386-9289-9
DOIs
Publication statusPublished - 11 Feb 2019
Event18th IEEE International Conference on Data Mining Workshops, ICDMW 2018 - Singapore, Singapore
Duration: 17 Nov 201820 Nov 2018

Conference

Conference18th IEEE International Conference on Data Mining Workshops, ICDMW 2018
CountrySingapore
CitySingapore
Period17/11/1820/11/18

Fingerprint

Decision support systems
Decision making
Health
Monitoring

Keywords

  • Data Mining and Analysis
  • Mental Models
  • Pattern Recognition
  • System Evaluation
  • Usability
  • User Experience
  • User Monitoring

Cite this

Agboola, I. (2019). Development of mental model in understanding users' thought processes for the evaluation and functional enhancement of clinical decision support systems. In J. Yu, Z. Li, F. Zhu, & H. Tong (Eds.), Proceedings - 18th IEEE International Conference on Data Mining Workshops, ICDMW 2018 (Vol. 2018-November, pp. 1493-1494). [8637522] IEEE. https://doi.org/10.1109/ICDMW.2018.00214
Agboola, Ifeoluwa. / Development of mental model in understanding users' thought processes for the evaluation and functional enhancement of clinical decision support systems. Proceedings - 18th IEEE International Conference on Data Mining Workshops, ICDMW 2018. editor / Jeffrey Yu ; Zhenhui Li ; Feida Zhu ; Hanghang Tong. Vol. 2018-November IEEE, 2019. pp. 1493-1494
@inproceedings{6b0b584744164fe2a0e2807e5d560210,
title = "Development of mental model in understanding users' thought processes for the evaluation and functional enhancement of clinical decision support systems",
abstract = "Clinical Decision Support Systems (CDSSs) are developed to help experts in making decisions; however, these systems tend to go out of date quickly due to changing needs of the users or simply because these systems are not user centred. The users' mental model which reflects their view of the system is considered to be a major starting point for system evaluation and upgrade. The users' thought processes of how users' interact with the system is a major point in understanding the processes or the navigational paths users' undergo in achieving the goal of using the system. This is considered to be a major starting point for system evaluation and upgrade. This research examines the elicitation of users' mental models using Galatea Risk and Safety Tool (GRiST); a web based mental health decision support system. This is to gain a better understanding of how the system is used in the workplace and to identify usability issues resulting from any mismatch or gap between the conceptual model of the system and the mental model of the users which may infer decision making of the system. A novel framework that aims to mine users' perspectives of the system is proposed. The framework further explores the data gotten to help in the system evaluation and re-design. The methodology used involve the process of monitoring users' interactions, mining the data, con-structing mental models using repertory grid technique and concept mapping to understand users' understanding of the system and to analyse the findings in investigating and resolving usability and system's functionalities issues.",
keywords = "Data Mining and Analysis, Mental Models, Pattern Recognition, System Evaluation, Usability, User Experience, User Monitoring",
author = "Ifeoluwa Agboola",
year = "2019",
month = "2",
day = "11",
doi = "10.1109/ICDMW.2018.00214",
language = "English",
isbn = "978-1-5386-9289-9",
volume = "2018-November",
pages = "1493--1494",
editor = "Jeffrey Yu and Zhenhui Li and Feida Zhu and Hanghang Tong",
booktitle = "Proceedings - 18th IEEE International Conference on Data Mining Workshops, ICDMW 2018",
publisher = "IEEE",
address = "United States",

}

Agboola, I 2019, Development of mental model in understanding users' thought processes for the evaluation and functional enhancement of clinical decision support systems. in J Yu, Z Li, F Zhu & H Tong (eds), Proceedings - 18th IEEE International Conference on Data Mining Workshops, ICDMW 2018. vol. 2018-November, 8637522, IEEE, pp. 1493-1494, 18th IEEE International Conference on Data Mining Workshops, ICDMW 2018, Singapore, Singapore, 17/11/18. https://doi.org/10.1109/ICDMW.2018.00214

Development of mental model in understanding users' thought processes for the evaluation and functional enhancement of clinical decision support systems. / Agboola, Ifeoluwa.

Proceedings - 18th IEEE International Conference on Data Mining Workshops, ICDMW 2018. ed. / Jeffrey Yu; Zhenhui Li; Feida Zhu; Hanghang Tong. Vol. 2018-November IEEE, 2019. p. 1493-1494 8637522.

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

TY - GEN

T1 - Development of mental model in understanding users' thought processes for the evaluation and functional enhancement of clinical decision support systems

AU - Agboola, Ifeoluwa

PY - 2019/2/11

Y1 - 2019/2/11

N2 - Clinical Decision Support Systems (CDSSs) are developed to help experts in making decisions; however, these systems tend to go out of date quickly due to changing needs of the users or simply because these systems are not user centred. The users' mental model which reflects their view of the system is considered to be a major starting point for system evaluation and upgrade. The users' thought processes of how users' interact with the system is a major point in understanding the processes or the navigational paths users' undergo in achieving the goal of using the system. This is considered to be a major starting point for system evaluation and upgrade. This research examines the elicitation of users' mental models using Galatea Risk and Safety Tool (GRiST); a web based mental health decision support system. This is to gain a better understanding of how the system is used in the workplace and to identify usability issues resulting from any mismatch or gap between the conceptual model of the system and the mental model of the users which may infer decision making of the system. A novel framework that aims to mine users' perspectives of the system is proposed. The framework further explores the data gotten to help in the system evaluation and re-design. The methodology used involve the process of monitoring users' interactions, mining the data, con-structing mental models using repertory grid technique and concept mapping to understand users' understanding of the system and to analyse the findings in investigating and resolving usability and system's functionalities issues.

AB - Clinical Decision Support Systems (CDSSs) are developed to help experts in making decisions; however, these systems tend to go out of date quickly due to changing needs of the users or simply because these systems are not user centred. The users' mental model which reflects their view of the system is considered to be a major starting point for system evaluation and upgrade. The users' thought processes of how users' interact with the system is a major point in understanding the processes or the navigational paths users' undergo in achieving the goal of using the system. This is considered to be a major starting point for system evaluation and upgrade. This research examines the elicitation of users' mental models using Galatea Risk and Safety Tool (GRiST); a web based mental health decision support system. This is to gain a better understanding of how the system is used in the workplace and to identify usability issues resulting from any mismatch or gap between the conceptual model of the system and the mental model of the users which may infer decision making of the system. A novel framework that aims to mine users' perspectives of the system is proposed. The framework further explores the data gotten to help in the system evaluation and re-design. The methodology used involve the process of monitoring users' interactions, mining the data, con-structing mental models using repertory grid technique and concept mapping to understand users' understanding of the system and to analyse the findings in investigating and resolving usability and system's functionalities issues.

KW - Data Mining and Analysis

KW - Mental Models

KW - Pattern Recognition

KW - System Evaluation

KW - Usability

KW - User Experience

KW - User Monitoring

UR - http://www.scopus.com/inward/record.url?scp=85062863570&partnerID=8YFLogxK

UR - https://ieeexplore.ieee.org/document/8637522

U2 - 10.1109/ICDMW.2018.00214

DO - 10.1109/ICDMW.2018.00214

M3 - Conference contribution

AN - SCOPUS:85062863570

SN - 978-1-5386-9289-9

VL - 2018-November

SP - 1493

EP - 1494

BT - Proceedings - 18th IEEE International Conference on Data Mining Workshops, ICDMW 2018

A2 - Yu, Jeffrey

A2 - Li, Zhenhui

A2 - Zhu, Feida

A2 - Tong, Hanghang

PB - IEEE

ER -

Agboola I. Development of mental model in understanding users' thought processes for the evaluation and functional enhancement of clinical decision support systems. In Yu J, Li Z, Zhu F, Tong H, editors, Proceedings - 18th IEEE International Conference on Data Mining Workshops, ICDMW 2018. Vol. 2018-November. IEEE. 2019. p. 1493-1494. 8637522 https://doi.org/10.1109/ICDMW.2018.00214