首页> 外文会议>2012 international conference on computer and communication engineering >Analysis of engagement factor in trajectory tracking-based experiment
【24h】

Analysis of engagement factor in trajectory tracking-based experiment

机译:基于轨迹跟踪实验的参与因子分析

获取原文
获取原文并翻译 | 示例

摘要

The main objective of this work is to study the degree of engagement levels of human subjects in completing a series of tasks based on their physiological signals. The tasks are in the form of tracking a set of trajectories on the computer screen by using a mouse… The subjects are chosen randomly based on both sexes, aged from 20 to 40 years old. After completing the required tasks in a series of experiments, the subjects are given a set of questions to answer In particular, for the experiment, the subjects are asked to track a set of prescribed paths within the allocated times in order to adhere to different speed constraints. Various shapes of trajectories with various colours are given to the subjects in order to study the degree of engagements while performing the tasks. In estimating the degree of engagement level, the physiological signals; namely the electrooculogram (EOG) are recorded by using the G-tec data acquisition system. By using these signals, information on the endogenous type of eye blinking is extracted. After completing the experiments, a set of questionnaires are given to the subjects to measure the degree of engagement level. The questionnaire works as an important tool to validate the engagement model deduced from the experiment done earlier by the subjects. Preliminary analysis on the questionnaire shows a good match to the deduction made from the experimental results.
机译:这项工作的主要目的是研究人类受试者根据其生理信号完成一系列任务时的参与程度。任务的形式是使用鼠标在计算机屏幕上跟踪一组轨迹。...对象是根据年龄从20至40岁的男女随机选择的。在一系列实验中完成所需的任务后,向受试者提供一系列问题来回答。特别是,对于实验,要求受试者在分配的时间内跟踪一组规定的路径,以便坚持不同的速度约束。为了研究执行任务时的参与度,给对象以各种形状的各种颜色的轨迹。在估计参与程度时,生理信号;即使用G-tec数据采集系统记录眼电图(EOG)。通过使用这些信号,可以提取有关内源性眨眼信息。完成实验后,向受试者提供一组问卷以测量参与度。问卷是一种重要的工具,可以用来验证受试者较早进行的实验得出的参与模型。对调查表的初步分析表明,该结果与从实验结果中得出的推论非常吻合。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号