工件(错误)
任务(项目管理)
体验式学习
计算机科学
认知
人机交互
结果(博弈论)
光学(聚焦)
领域(数学分析)
心理学
认知心理学
任务分析
人工智能
工程类
数学教育
系统工程
神经科学
数理经济学
数学分析
物理
光学
数学
作者
Paul van Schaik,Jonathan Ling
标识
DOI:10.1080/07370024.2011.646923
摘要
Cognitive and experiential factors in human–computer interaction have been the focus of significant recent attention, but there is a lack of a much needed integrated approach to these issues. The current article proposes such an approach and applies this, combined with the person–task–artifact model (Finneran & Zhang, 2003), to the modeling of web navigation. In an experiment, artifact complexity and task complexity were manipulated. The effects of the experimental manipulations and intrinsic motivation on flow experience, task performance and task outcome were tested. The main effects of the manipulations were confirmed. Further analyses demonstrated that flow was a mediator of the effect of experimental manipulations on task performance, and task performance was a mediator of the effect of flow on task outcome. Overall, the results in the domain of web navigation that are presented here demonstrate the need for taking an integrated cognitive-experiential approach in the modeling of human–computer intera...
科研通智能强力驱动
Strongly Powered by AbleSci AI