Aoun Lutfi | University of Wollongong in Dubai (original) (raw)
Papers by Aoun Lutfi
2017 International Conference on Computer and Applications (ICCA), Sep 1, 2017
In this paper, we present a system that supports the design of web graphical user interface by fi... more In this paper, we present a system that supports the design of web graphical user interface by finding the optimal placement of interactive elements. The definition of optimal placement is context specific; it aims at maximizing measurable aspects of the user experience, and it is derived using expert knowledge embedded in the system, which is based on HCI principles, user studies, and data analytics. We use a novel modeling technique to represent the layout of web user interfaces. The model is unsupervisedly computed on information extracted by several image processing algorithms. The system identifies the website category, builds a layout model, compares it with the relevant optimal model, and recommends an alternative layout of interactive elements. To prove this concept, we present a study on e-commerce websites where placement of the checkout button has a significant impact on the online sale process conversion rate. The system identifies non-optimal placement, and it recommends an alternative position that is likely to improve the conversion rate. The results will be validated based on the Visa Checkout user experience. The system is implemented as an open-source software, and it currently supports the re-positioning of a single interactive element. In the paper, we discuss a further generalization of this approach to support a larger number of interactive objects in a wider spectrum of scenarios.
International Journal of Emerging Technology and Advanced Engineering, 2015
International Journal of Robotics and Automation, 2015
In this paper we conduct an extensive review of the literature toward an autonomous Unmanned Aeri... more In this paper we conduct an extensive review of the literature toward an autonomous Unmanned Aerial Vehicle (UAV) for application in home healthcare. Based on the research findings, a system is proposed towards such a UAV for the purpose of patient care in an indoor environment, specifically in triage care for people living with chronic conditions. Our system seeks to provide an innovative solution for healthcare at home and to facilitate independent living as well as reduce over triaging through personalized robotics. The development of advanced navigation systems for UAVs has aroused extensive interest recently because of its enormous potential. In comparison to outdoor flight, GPSdenied navigation poses several distinct challenges in stability and control for quadcopter operability, including object detection and avoidance, real-time wireless client-server communications, stability and safety concerns. Medical Decision Support Systems (DSSs), which have been developed largely in the triage component of health assessment, care and decision making, also pose separate research challenges in terms of accuracy, consistency, response (processing) time and degree of automatic operation. As a single system, a drone-based DSS for chronic illness triage assessment poses unique challenges. For this application, the DSS requires voice-based responses, occurring in realtime and classified according to a dynamic and adaptive decision support engine that operates automatically; that is, with no human input and using non-invasive patient analysis. Existing healthcare systems of this nature have not yet been produced. Furthermore, patient recognition through real-time image fused with voice data in a noisy, GPS-denied environment has yet to be achieved. While path planning, navigation, control and stability concerns have been extensively addressed, accuracy for these systems can be improved and the technology as well as applied algorithms must be adapted to application-based requirements, in terms of weight, processing and dedicated communication requirements.
2016 Sixth International Conference on Innovative Computing Technology (INTECH), 2016
Technology and health care : official journal of the European Society for Engineering and Medicine, Jan 10, 2015
Indoor flight, obstacle avoidance and client-server communication of an Unmanned Aerial Vehicle (... more Indoor flight, obstacle avoidance and client-server communication of an Unmanned Aerial Vehicle (UAV) raises several unique research challenges. This paper examines current methods and associated technologies adapted within the literature toward autonomous UAV flight, for consideration in a proposed system for indoor healthcare administration with a quadcopter. We introduce Healthbuddy, a unique research initiative towards overcoming challenges associated with indoor navigation, collision detection and avoidance, stability, wireless drone-server communications and automated decision support for patient care in a GPS-denied environment. To address the identified research deficits, a drone-based solution is presented. The solution is preliminary as we develop and refine the suggested algorithms and hardware system to achieve the research objectives.
2017 International Conference on Computer and Applications (ICCA), Sep 1, 2017
In this paper, we present a system that supports the design of web graphical user interface by fi... more In this paper, we present a system that supports the design of web graphical user interface by finding the optimal placement of interactive elements. The definition of optimal placement is context specific; it aims at maximizing measurable aspects of the user experience, and it is derived using expert knowledge embedded in the system, which is based on HCI principles, user studies, and data analytics. We use a novel modeling technique to represent the layout of web user interfaces. The model is unsupervisedly computed on information extracted by several image processing algorithms. The system identifies the website category, builds a layout model, compares it with the relevant optimal model, and recommends an alternative layout of interactive elements. To prove this concept, we present a study on e-commerce websites where placement of the checkout button has a significant impact on the online sale process conversion rate. The system identifies non-optimal placement, and it recommends an alternative position that is likely to improve the conversion rate. The results will be validated based on the Visa Checkout user experience. The system is implemented as an open-source software, and it currently supports the re-positioning of a single interactive element. In the paper, we discuss a further generalization of this approach to support a larger number of interactive objects in a wider spectrum of scenarios.
International Journal of Emerging Technology and Advanced Engineering, 2015
International Journal of Robotics and Automation, 2015
In this paper we conduct an extensive review of the literature toward an autonomous Unmanned Aeri... more In this paper we conduct an extensive review of the literature toward an autonomous Unmanned Aerial Vehicle (UAV) for application in home healthcare. Based on the research findings, a system is proposed towards such a UAV for the purpose of patient care in an indoor environment, specifically in triage care for people living with chronic conditions. Our system seeks to provide an innovative solution for healthcare at home and to facilitate independent living as well as reduce over triaging through personalized robotics. The development of advanced navigation systems for UAVs has aroused extensive interest recently because of its enormous potential. In comparison to outdoor flight, GPSdenied navigation poses several distinct challenges in stability and control for quadcopter operability, including object detection and avoidance, real-time wireless client-server communications, stability and safety concerns. Medical Decision Support Systems (DSSs), which have been developed largely in the triage component of health assessment, care and decision making, also pose separate research challenges in terms of accuracy, consistency, response (processing) time and degree of automatic operation. As a single system, a drone-based DSS for chronic illness triage assessment poses unique challenges. For this application, the DSS requires voice-based responses, occurring in realtime and classified according to a dynamic and adaptive decision support engine that operates automatically; that is, with no human input and using non-invasive patient analysis. Existing healthcare systems of this nature have not yet been produced. Furthermore, patient recognition through real-time image fused with voice data in a noisy, GPS-denied environment has yet to be achieved. While path planning, navigation, control and stability concerns have been extensively addressed, accuracy for these systems can be improved and the technology as well as applied algorithms must be adapted to application-based requirements, in terms of weight, processing and dedicated communication requirements.
2016 Sixth International Conference on Innovative Computing Technology (INTECH), 2016
Technology and health care : official journal of the European Society for Engineering and Medicine, Jan 10, 2015
Indoor flight, obstacle avoidance and client-server communication of an Unmanned Aerial Vehicle (... more Indoor flight, obstacle avoidance and client-server communication of an Unmanned Aerial Vehicle (UAV) raises several unique research challenges. This paper examines current methods and associated technologies adapted within the literature toward autonomous UAV flight, for consideration in a proposed system for indoor healthcare administration with a quadcopter. We introduce Healthbuddy, a unique research initiative towards overcoming challenges associated with indoor navigation, collision detection and avoidance, stability, wireless drone-server communications and automated decision support for patient care in a GPS-denied environment. To address the identified research deficits, a drone-based solution is presented. The solution is preliminary as we develop and refine the suggested algorithms and hardware system to achieve the research objectives.