Empirical Evaluation of Intelligent Mobile User Interfaces in Healthcare

Alnanih, Reem; Ormandjieva, Olga; Radhakrishnan, T.

doi:10.1007/978-3-319-06483-3_3

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…Evaluating the idea of having an adaptable intelligent mobile user interface that can adapt according to a set of rules was not intended since this has been evaluated before. 14 …”

Section: Framework Evaluationmentioning

confidence: 97%

A Cloud-Based Framework for Context-Aware Intelligent Mobile User Interfaces in Healthcare Applications

Elazhary¹

2015

j med imaging hlth inform

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Developing context-aware intelligent mobile user interfaces is one of the ambitious goals of pervasive computing. One of the most promising candidate domains for using such interfaces is the healthcare domain. Healthcare personnel normally work all day long in many different contexts and thus, they need intelligent mobile user interfaces that can adapt to different contexts to help them perform their tasks efficiently and effectively without errors. Current research studies in the literature address aspects of this problem with no clear plan of how the different components may be integrated and specifically how adaptation rules and preferences can be developed, updated and managed. Thus, this paper presents a comprehensive framework that integrates several different functionalities to guide the development of intelligent mobile user interfaces with varying levels of complexity as required. The framework provides a definition of context that separates the system view and the complexity of context acquisition from the user view. It represents both context and adaptable mobile features in the form of a set of parameters and objects to facilitate the task of defining and modifying preferences for interface adaptation based on context. The framework considers both user-defined preferences and system generated ones based on usage analysis. Preferences are represented in different ways to help in handling inconsistencies and incompleteness. Storing user profiles and preferences on the cloud makes it possible for users to select stereotype preferences or to search for preferences of users with similar profiles. It also enables sharing preferences among applications and mobile devices and the automated update of stereotype preferences. Though this framework is general-purpose, it has been developed with an eye towards healthcare applications. Thus, its salient features have been tested empirically among healthcare personnel to assess their effectiveness and acceptability in this domain.

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“…Evaluating the idea of having an adaptable intelligent mobile user interface that can adapt according to a set of rules was not intended since this has been evaluated before. 14 …”

Section: Framework Evaluationmentioning

confidence: 97%

A Cloud-Based Framework for Context-Aware Intelligent Mobile User Interfaces in Healthcare Applications

Elazhary¹

2015

j med imaging hlth inform

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“…• Cognitive load: To accomplish a 'task', a user may have to switch from one screen to another. This will depend on the complexity of tasks, screen size, or the way the designer has filled information on various screens [31]. It was measured by:…”

Section: = Effectiveness Timementioning

confidence: 99%

A Design Study to Improve user Experience of a Procedure Booking Software in Healthcare

Alzahrani¹,

Alnanih²

2020

IJACSA

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In the era of technology-driven healthcare delivery and the proliferation of e-health systems, procedure booking software is becoming common. Procedure booking software (PBS) affects healthcare delivery by improving health care efficiency and outcomes, while cutting costs. Therefore, poor software design for PBS, especially if it is designed for important and critical appointments such as cardiac catheterization operations, creates stress for physicians and may result in their rejection of this technology. Moreover, if the system design forces them to spend more time documenting health information, physicians would then tend to prefer face-to-face interaction with patients. Software with poor usability increases the workload of physicians thus reducing system efficiency. So designing a useful and effective web user interface for such software is an essential requirement for health websites. The aim of this paper is to design and develop a PBS as a case study using the health systems design (HSD) tool. HSD is a validated design tool for creating PBS based on physician behavior and persona. The applicability of a PBS design is explored by physicians evaluated. The PBS design was evaluated in terms of objective and subjective characteristics and user experience attributes. Test participants were divided into two groups: specialists and fellows. The results show that there was no significant difference between participants in either group. All were able to complete the tasks successfully with a minimum amount of time, clicks, and errors indicating that the effectiveness, efficiency and cognitive load were similar for all participants. User satisfaction yielded a score of 86 on the System Usability Scale (SUS), putting it in the A Grade. Also, user experience attributes demonstrated that participants were satisfied using the proposed design system.

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Mapping HCI Principles to Design Quality of Mobile User Interfaces in Healthcare Applications

Alnanih

Ormandjieva

2016

Procedia Computer Science

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Empirical Evaluation of Intelligent Mobile User Interfaces in Healthcare

Cited by 4 publications

References 14 publications

A Cloud-Based Framework for Context-Aware Intelligent Mobile User Interfaces in Healthcare Applications

A Cloud-Based Framework for Context-Aware Intelligent Mobile User Interfaces in Healthcare Applications

A Design Study to Improve user Experience of a Procedure Booking Software in Healthcare

Mapping HCI Principles to Design Quality of Mobile User Interfaces in Healthcare Applications

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