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Boodaghian Asl, Arsineh
Publications (2 of 2) Show all publications
Boodaghian Asl, A. & Gokan, M. (2019). An Empirical Study On GUI-ii Interview Methods In Participatory Design. In: Katherine Blashki and Yingcai Xiao (Ed.), IADIS (International association for developement of the information society) digital library: . Paper presented at MCCSIS 2019, 13th Multi Conference on Computer Science and Information Systems 16 – 19 July 2019, Porto, Portugal (pp. 3-10). IADIS Press
Open this publication in new window or tab >>An Empirical Study On GUI-ii Interview Methods In Participatory Design
2019 (English)In: IADIS (International association for developement of the information society) digital library / [ed] Katherine Blashki and Yingcai Xiao, IADIS Press , 2019, p. 3-10Conference paper, Published paper (Refereed)
Abstract [en]

Graphical user interface interaction interview (GUI-ii), is a recently purposed method in which designers can remotely co-design and review GUI prototypes by eliminating the need for physical presence of co-designers. However, there are some concerns regarding the accuracy of such remote interview methods, as users do not have any physical interaction with the designers during their interview. In this work, for the first time, we compare GUI-ii methods with the traditional face-to-face interview processes to study their effectiveness in various design phases. The result shows that GUI-ii method is most effective when used in Ozlab.    

Place, publisher, year, edition, pages
IADIS Press, 2019
Keywords
Human-Computer Interaction, Participatory Design, Interview Methods, Graphical User Interface, Prototype
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-74859 (URN)978-989-8533-91-3 (ISBN)
Conference
MCCSIS 2019, 13th Multi Conference on Computer Science and Information Systems 16 – 19 July 2019, Porto, Portugal
Available from: 2019-09-26 Created: 2019-09-26 Last updated: 2020-01-10Bibliographically approved
Boodaghian Asl, A. & Gokan Khan, M. (2019). Studying the Effect of Online Medical Applications on Patients Healing Time and Doctors Utilization Using Discrete Event Simulation. In: : . Paper presented at IEEE International Conference on e-Health and Bioengineering (EHB) 2019.
Open this publication in new window or tab >>Studying the Effect of Online Medical Applications on Patients Healing Time and Doctors Utilization Using Discrete Event Simulation
2019 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

Online Medical Applications (OMA) has evolved dramatically in the last few years, and, consequently, the number of patients using it has also grown exponentially. Patients who are seeking non-emergency but immediate medical services or consultant may save time and money by approaching online doctors through OMAs instead of visiting them physically in healthcare centers. Additionally, medical doctors quantity contributing to OMAs growth, which can affect patients average waiting time and the queue size in healthcare centers. In this paper, We have developed a Discrete Event Simulation (DES) model to study the effects of using OMA on the patients healing time and doctors utilization by comparing it with the same process in healthcare centers. Additionaly, we compared patients average queue size, maximum number of patients in the queue, and total number of healed patients in our study. The results of this simulation showed that the healing process in OMA could serve the same number of patients in ~46% shorter time compared to healthcare centers with ~5.7% less doctors’ utilization.

Keywords
discrete event simulation, ehealth, modeling, queuing theory, telemedicine
National Category
Computer and Information Sciences
Research subject
Public Health Care Administration; Computer Science; Public Health Care Administration; Public Health Science
Identifiers
urn:nbn:se:kau:diva-75998 (URN)
Conference
IEEE International Conference on e-Health and Bioengineering (EHB) 2019
Available from: 2019-12-16 Created: 2019-12-16 Last updated: 2020-01-10
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