Mapping HCI Principles To Design Quality Of Mobile User Interfaces In Healthcare Applications

Authors: Reem Alnanih, Olga Ormandjieva

Abstract:

This paper reports on research carried out in the field of Human-Computer Interaction (HCI) on the interaction between a human and a mobile device, in the specific case where a healthcare professional uses the mobile device to access a medical application. The quality of mobile user interface is crucial in the healthcare domain, as the attention of healthcare professionals is usually on the patient and not on the system, and so low-quality UIs may lead to critical medical errors. In this research, the quality-in-use measurement model (QiU-4-MUI) is used to empirically investigate the impact of HCI principles on the quality of an MUI, in terms of five important characteristics, namely, effectiveness, productivity, efficiency, error safety, and cognitive load. The work investigates the applicability of these quality characteristics as indicators of the impact on user interface design of HCI principles, such as mental model, metaphor, feedback, affordance, and visibility. A controlled experiment was carried out among 23 doctors in a hospital environment to empirically investigate the impact of HCI principles on the quality in use of a mobile user interface, in terms of the QiU-4-MUI characteristics and in the healthcare context.

Keywords

Healthcare applications; Human computer interaction principles; Quality-in-use measurement model; Mobile user interfaces; Controlled expeiment

Citation: Reem Alnanih, Olga Ormandjieva Mapping HCI Principles To Design Quality Of Mobile User Interfaces In Healthcare Applications http://dx.doi.org/10.1016/j.procs.2016.08.014

Available online: 10 August 2016

Copyright: © 2016 Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Conclusion and Future Work
In this research, we have assessed the impact of HCI principles on the quality of MUIs in the healthcare context, in terms of: i) increasing user safety by minimizing human error, ii) increasing the effectiveness and efficiency of the execution  of  the  tasks  carried  out  by  doctors,  iii)  increasing  the  productivity  of  the  doctors,  and  iv)  reducing  the  cognitive load on the doctors.  The  empirical  investigation  results  confirmed  that  considering  the  HCI  principles  Mental  Model,  Metaphor,  Visibility, Affordance, and Feedback in the MUI design leads to increased quality-in-use of the MUI.  

The  empirical  evaluation  of  the  effect  of  the  HCI  principles  on  the  quality-in-use  of  PHIS2-based  mobile app  revealed that the app is a success in terms of helping doctor perform tasks in very rapidly, effectively, in terms of selecting  the  minimum  number  of  correct actions  required,  safely,  in  terms  of  reducing  the  number  of  incorrect  actions,  and  productively,  in  terms  of  completing  the  task  successfully  in  less  time.  In  addition,  the  doctor’s  cognitive load was reduced by decreasing the number of actions required per view.  

More  case  studies  will  be  evaluated  in  our  future  work  to  determine  the  applicability  of  the  HCI  principles  on  MUI in different domains and to different types of healthcare application. Moreover, the approach will be compared to the MUI design of the same application without applying the corresponding HCI principles.   re application. Moreover, the approach will be compared to the MUI design of the same application without applying the corresponding HCI principles.

Acknowledgments
We  thank  King  Abdulaziz  University  Hospital  for  their  collaboration  and  facilitating  the  conduction  of  the  experiments.

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