Development of Mental Model in Understanding Users' Thought Processes for the Evaluation and Functional Enhancement of Clinical Decision Support Systems

I. Agboola
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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Decision Support Systems (CDSSs) are developed to help experts in making decisions; however, these systems tend to go out of date quickly due to changing needs of the users or simply because these systems are not user centred.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.
临床决策支持系统评价与功能增强中理解用户思维过程的心智模型的发展
临床决策支持系统(CDSSs)的开发是为了帮助专家做出决策;但是,由于用户需求的变化,或者仅仅因为这些系统不是以用户为中心,这些系统往往很快就过时了。用户的心智模型反映了用户对系统的看法,是系统评估和升级的主要出发点。用户如何与系统交互的思维过程是理解用户在实现使用系统的目标时所经历的过程或导航路径的重点。这被认为是系统评估和升级的主要起点。本研究使用Galatea风险与安全工具(GRiST)检验了用户心理模型的启发;一个基于网络的心理健康决策支持系统。这是为了更好地了解系统是如何在工作场所使用的,并确定由于系统的概念模型与可能推断系统决策的用户的心理模型之间的任何不匹配或差距而导致的可用性问题。提出了一种新的框架,旨在挖掘用户对系统的看法。该框架进一步探索所获得的数据,以帮助系统评估和重新设计。所使用的方法包括监控用户的交互、挖掘数据、使用库存网格技术和概念映射构建心理模型,以了解用户对系统的理解,并分析调查和解决可用性和系统功能问题的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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