User preferences for adaptive user interfaces in health information systems

Eslami, Mahboubeh; Firoozabadi, Mohammad and Homayounvala, Elaheh. 2018. User preferences for adaptive user interfaces in health information systems. Universal Access in the Information Society, 17(4), pp. 875-883. ISSN 1615-5289 [Article]

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Abstract or Description

An adaptive user interface requires identification of user requirements. Interface designers and engineers must understand end-user interaction with the system to improve user interface design. A combination of interviews and observations is applied for user requirement analysis in health information systems (HIS). Then, user preferences are categorized in this paper as either data entry, language and vocabulary, information presentation, or help, warning and feedback. The user preferences in these categories were evaluated using the focus group method. Focus group sessions with different types of HIS users comprising medical staff (with and without computer skills) and system administrators identified each user group’s preference for the initial adaptation of the HIS user interface. User needs and requirements must be identified to adapt the interface to users during data entry into the system. System designers must understand user interactions with the system to identify their needs and preferences. Without this, interface design cannot be adapted to users and users will not be comfortable using the system and eventually abandon its use.

Item Type:

Article

Identification Number (DOI):

https://doi.org/10.1007/s10209-017-0569-1

Additional Information:

Health information systems (HIS) in hospitals, care centres, GP surgeries and etc are becoming a necessity. This paper is a step toward answering this question: What are the user preferences for HIS in terms of information presentation, data entry device, system language and vocabulary, help, warning and feedback.

Keywords:

Adaptive user interface, Focus group, Health information systems, Usability, User preferences

Departments, Centres and Research Units:

Computing

Dates:

DateEvent
5 August 2017Published Online
November 2018Published

Item ID:

27058

Date Deposited:

08 Oct 2019 10:34

Last Modified:

08 Oct 2019 21:34

Peer Reviewed:

Yes, this version has been peer-reviewed.

URI:

http://research.gold.ac.uk/id/eprint/27058

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