User Experience Model for Remote Envenomation Consultation Mobile Application with Decision Support Ability

Abstract

Most industries have begun adapting mobile technology in their daily work included health domain. A group of clinical toxinology experts intend to adopt the mobile technology to provide the consultation services remotely. Current practice of the consultation service is using the communication application available in market which has limitation and not suitable in their context. Thus, a specific newly design mobile application should be developed for their case. To generate mobile applications and services that meet the user's expectations, the development of applications that emphasize user experience (UX) factor needs to be implemented. UX factors are heavily depending on the different user, system, context and temporal factors. There is lack of research of UX factors in the mobile health domain especially in the remote envenomation consultation mobile application. Therefore, the purpose and scope of this research is to identify UX factors from the perspective of system components for this type of mobile application. This paper gathered the UX definition, UX factor and UX model from the previous researches. The UX factors finding process included literature review and discussion with the clinical toxinology experts. UX factors have been identified and matched with the remote consultation mobile application context. At the end, we have derived a UX model for the remote envenomation consultation mobile application case. The UX model included four product features and seven UX factor. Product features involved information quality, user interface design, functionality and data visualisation. Whereas seven UX factor involved usefulness, effectiveness, efficiency, ease of use, aesthetic, trustworthy and stimulation. The presented UX Model contained specific factor for remote envenomation consultation mobile application. It can be a reference to develop a mobile application to meet the context and user expectation for the remote consultation case.