Prof. Chung-Ta King | National Tsing Hua University, Taiwan
Dr. Chun-Han Lin | National Taiwan Normal University, Taiwan
Abstract: Mobile phones are indispensable in our daily life. We conduct many daily activities through our phones. Mobile phones have many interesting features. They are highly interactive and personalized, very rich in displayed contents, constrained in power and heat dissipation, and yet required to deliver very high quality of services. Although new ways of user interactions are emerging, mobile phones nowadays interact with their users primarily through the display. Users’ Quality of Experience (QoE) is thus affected in a large part by the quality at which the display can present the contents. A major challenge for mobile phone developers is to provide increasingly rich QoE through the display while reducing power consumption.
A general strategy to address the challenge is to schedule the resources of the phone, e.g. CPU, GPU, display, etc., to deliver a display quality that satisfies user’s QoE just enough. The question is how to know the users' acceptable display quality that can be used to guide resource scheduling. A suitable metric is difficult to get because it is subjective, personalized, and dependent on the contexts. Apparently, there is a need to understand the relationship between user contexts, user perceived display quality, interactive workload characteristics, and system resource utilization.
In this overview talk, we first examine how mobile phones display contents on the screen and common resource scheduling strategies considering user QoE. We then discuss how to conduct experiments on and collect data from real users to understand the effects of contexts on interactive workloads and user perceived display quality. Finally, we give an overview of context-aware design for displays on mobile phones, considering particularly the user context, user experience, network effects, and power consumption.
Bio: Chung-Ta King is a professor in Department of Computer Science and the director of Computer and Communication Center at National Tsing Hua University. He received the Ph.D. degree from Department of Computer Science, Michigan State University in 1988. His research interests include parallel and distributed processing, embedded systems, and computer architecture. He has organized and served in several major international conferences, including IEEE Cluster 2017, IEEE SC2 2017, IEEE ICPADS 2014, IEEE CloudCom 2013, and ESWeek 2011.
Chun-Han Lin is an assistant professor in the Department of Computer Science and Information Engineering at National Taiwan Normal University. He received the Ph.D. degree from the Department of Computer Science at National Tsing Hua University in 2010. His research interests include embedded systems and sensor networks.