Nontraditional approaches to analyzing design of computer support and user evaluation

M. Crosby, M. Iding, Y. Waern
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Abstract

While the potential benefit of additional measurement tools and techniques has been recognized in numerous domains, many questions remain about what to measure and how to get meaningful measurements. Although the majority of researchers seem to agree that user interaction metrics are helpful, the forms of these metrics causes considerable debate. The relationship between humans and computers (HCI) provides a rich area of study from both a theoretical and a practical perspective. Results from HCI research can contribute to theories of human behavior during complex tasks and often the results can be applied to the design of computer systems. An objective in coordinating this mini-track is to encourage a variety of papers that address the need for enhanced, nontraditional measures of performance to evaluate how people use interactive computer systems. Contributions to this mini-track include a wide range of topics as well as evaluation metrics. The first set of papers concerns the evaluation of student learning. Tsaganou, Cavoura and Grigoriadou present a methodology for the experimental construction of a student model of historical text comprehension that was based on a model of comprehension of historical narration (MOCOHN). They conduct an experimental study of students' text comprehension that demonstrated the effectiveness of their proposed student model. Chou employed content analysis to investigate the patterns of student to student interactions in distance learning environments. Vick, using experience gained in face to face classes, judges collaborative knowledge construction using goal-based scenarios in a synchronous computer-mediated communication situations. The second set of papers relies on physiological measurements to assess either skills or mental processes. Serra and Muzio explore the challenges of designing software to assist in the rehabilitation of people who have suffered traumatic brain injuries. They discuss suggestions for ways in which software can minimize the detrimental effects of impaired cognitive functions. Because of the unique characteristics of their patient population, the researchers employ an informal evaluation method and adapt their software to the patients needs. Ark, uses functional Magnetic Resonance Imaging (fMRI) as a tool to understand the cognitive ability of mental rotation. She summarizes findings from recent mental rotation studies and discusses the possible confounds between the reported results. King explores consistencies of eye-movement patterns by building a neural network and using statistics to predict eye movement behavior in different searching tasks. The final two sets of papers involve guidelines for web based materials and the software architecture needed to support web based data collection. Sutcliffe proposes a three-phase model for web site evaluation. He defines usability as a trade-off between increasing the user's motivation and the costs of usability errors. His proposed heuristics for assessing the attractiveness of web user interfaces contrast the web sites of three airlines. The Nordbottens analyze the use of a national statistical web-database. They have collected one years worth of data to show how people use web data bases. Yatim studies the disorientation problems people have using WWW environments. She uses a measurement based on a psychological model of the disorientation problem and finds a task dependent relationship between the time users take and the disorientation they experience. Stelovsky and Aschwanden discuss how
计算机支持设计与用户评价的非传统分析方法
虽然在许多领域已经认识到额外的测量工具和技术的潜在好处,但是关于测量什么以及如何获得有意义的测量仍然存在许多问题。尽管大多数研究人员似乎都同意用户交互指标是有帮助的,但这些指标的形式却引起了相当大的争论。人与计算机之间的关系(HCI)从理论和实践的角度提供了一个丰富的研究领域。人机交互研究的结果可以为复杂任务中人类行为的理论做出贡献,而且这些结果通常可以应用于计算机系统的设计。协调这个小轨道的一个目标是鼓励各种各样的论文,这些论文解决了对增强的、非传统的性能度量的需求,以评估人们如何使用交互式计算机系统。对这个迷你轨道的贡献包括广泛的主题以及评估指标。第一组论文是关于学生学习的评价。Tsaganou、Cavoura和Grigoriadou提出了一种基于历史叙事理解模型(MOCOHN)的历史文本理解学生模型的实验构建方法。他们对学生的文本理解进行了实验研究,证明了他们提出的学生模型的有效性。Chou采用内容分析来调查远程学习环境中学生与学生互动的模式。维克利用在面对面课堂上获得的经验,在同步计算机介导的交流情境中,使用基于目标的场景来判断协作知识的构建。第二组论文依靠生理测量来评估技能或心理过程。Serra和Muzio探索了设计软件的挑战,以帮助遭受创伤性脑损伤的人康复。他们讨论了软件如何将认知功能受损的有害影响最小化的建议。由于患者群体的独特特征,研究人员采用了一种非正式的评估方法,并使他们的软件适应患者的需求。Ark,使用功能性磁共振成像(fMRI)作为了解心理旋转认知能力的工具。她总结了最近心理旋转研究的发现,并讨论了报告结果之间可能存在的混淆。King通过建立一个神经网络和使用统计数据来预测不同搜索任务中的眼球运动行为,来探索眼球运动模式的一致性。最后两组论文涉及基于网络的材料指南和支持基于网络的数据收集所需的软件体系结构。Sutcliffe提出了一个网站评估的三阶段模型。他将可用性定义为增加用户动机和可用性错误成本之间的权衡。他提出的评估网络用户界面吸引力的启发式方法对比了三家航空公司的网站。nordbotten夫妇分析了国家统计网络数据库的使用情况。他们收集了一年的数据来展示人们是如何使用网络数据库的。Yatim研究人们在使用WWW环境时的定向障碍问题。她使用了一种基于迷失方向问题的心理学模型的测量方法,并发现用户所花费的时间和他们所经历的迷失方向之间存在任务依赖关系。Stelovsky和Aschwanden讨论了如何
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