HCC: Human Factors in Energy-Efficient Mobile Computing System Design

本研究计画的目标是系统地探讨移动的计算系统节能设计中的人为因素。该项目由三个部分组成。首先，它将研究移动的用户如何处理和适应有限的电池寿命。随后，它将把新知识应用于系统算法及其用户界面的设计，以便用户手动在电池和系统可用性的其他方面之间进行有效的权衡。其次，本项目将调查用户的节能机制的影响和它的上下文依赖。它将采用Orbit身体区域传感器节点和基于移动的手机的现场调查工具来收集上下文信息，并随后建立上下文相关的用户影响模型。使用这些模型，该研究项目将利用来自用户界面和身体区域传感器的信息来自动应用节能机制，并以用户友好的方式调整系统。第三，该项目将探索在新兴的OLED和OLED显示技术上设计节能图形用户界面的工具和方法，这些技术具有与传统液晶显示器截然不同的功率特性。该研究项目将采用定量自我报告，定性人种学调查和计算机工程技术进行实验室和实地研究。其用户研究和实地试验将涉及服务不足的城市社区的移动的用户。移动的设备，特别是移动的电话，在为低收入者提供可用和负担得起的信息技术方面显示出巨大潜力。它们有限的电池寿命和有限的散热能力已成为实现这种潜力的关键挑战。这一研究项目有可能提供应对这一挑战的技术和工具，从而帮助弥合国家和全球的数字鸿沟。它将为移动的计算系统的以人为本的设计做出根本性的贡献，并提供新颖的用户界面、方法、算法及其工具实现，以实现更好的电池可用性和更长的电池寿命。这项研究奋进将为以人为本的计算和低功耗设计带来基础知识，并为移动的和无处不在的计算带来新的机会。通过PI与行业领导者的合作，它可能会对行业产生更广泛的影响。研究成果将被纳入移动的计算的本科生和研究生课程。这些工具、收集的数据和教育内容将开放源代码和在线。

The goal of this research project is to systematically address the human factors in energy-efficient design of mobile computing systems. The project consists of three components. First, it will study how mobile users deal with and adapt to limited battery lifetime. It will subsequently apply the new knowledge to the design of system algorithms and their user interfaces for users to manually make effective tradeoffs between battery and other aspects of system usability. Second, this project will investigate the user impact of power-saving mechanisms and its context dependence. It will employ the Orbit body-area sensor nodes and mobile phone-based in situ survey tools to collect context information and subsequently build models of the context-dependent user impact. Using these models, the research project will employ information from user interfaces and body-area sensors to automatically apply power-saving mechanisms and adapt the system in a user-friendly way. Third, this project will explore tools and methodologies for designing energy-efficient graphical user interfaces on emerging OLED and bistable display technologies, which have dramatically different power characteristics from the conventional liquid crystal displays. The research project will employ both laboratory and field studies with technologies from quantitative self-reporting, qualitative ethnographic inquiries, and computer engineering. Its user studies and field trials will involve mobile users from under-served urban communities. Mobile devices, in particular mobile phones, have shown great potential to provide low-income people with usable and affordable access to information technologies. Their limited battery lifetime and limited heat dissipation capability have become a critical challenge to achieving such potential. This research project has the potential to provide enabling technologies and tools that address this challenge thus help bridge the digital divide nationally and globally. It will make fundamental contributions to human-centered design of mobile computing systems as well as provide novel user interfaces, methodologies, algorithms, and their tool implementations for better battery usability and longer battery lifetime. The research endeavor will bring foundational knowledge into both human-centered computing and low-power design as well as bring new opportunities into mobile and ubiquitous computing. It is likely to have a broader impact in the industry through the PI's collaborations with industrial leaders. The research results will be incorporated into undergraduate and graduate courses in mobile computing. The tools, collected data, and educational content will be made open-source and on-line.