Analysing Gender Differences in Building Social Goal Models: A Quasi-Experiment
Analysing Gender Differences in Building Social Goal Models: A Quasi-Experiment
复制标题
分析构建社会目标模型中的性别差异：准实验
DOI：
10.1109/re.2019.00027
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
João Araújo
中科院分区：
文献类型：
--
作者：
Catarina Gralha;M. Goulão;João Araújo
背景：最近的研究表明解决问题方面存在性别差异，以及软件支持方式方面存在性别偏见。 GenderMag 有 5 个与性别包容性相关的问题解决方面：使用软件的动机、信息处理方式、计算机自我效能、对风险的态度以及学习新技术的方式。有些方面值在女性中更为常见，而另一些则在男性中更为常见。这些方面在建立社会目标模型时可能发挥的作用很大程度上尚未被探索。目标：我们评估了不同级别的 GenderMag 方面对创建和修改 iStar 2.0 模型的影响。方法：我们进行了准实验。我们根据 GenderMag 的各个方面对 100 名参与者进行了特征描述。参与者在iStar 2.0上执行创建和修改任务。我们使用通过眼动追踪、EEG 和 EDA 传感器收集的任务成功、时间和精力指标以及参与者的反馈来衡量他们的准确性、速度和轻松程度。结果：尽管具有女性常见面水平的参与者感知的表现和速度较低，但其准确性较高。我们还观察到视觉努力、脑力努力和压力方面存在一些统计上显着的差异。结论：具有综合信息处理风格和对风险态度较保守（女性更常见的特征）的参与者以较低的速度但较高的准确性完成任务。
Context: Recent research has shown gender differences in problem-solving, and gender biases in how software supports it. GenderMag has 5 problem-solving facets related to gender-inclusiveness: motivation for using the software, information processing style, computer self-efficacy, attitude towards risk, and ways of learning new technology. Some facet values are more frequent in women, others in men. The role these facets may play when building social goal models is largely unexplored. Objectives: We evaluated the impact of different levels of GenderMag facets on creating and modifying iStar 2.0 models. Methods: We performed a quasi-experiment. We characterised 100 participants according to each GenderMag facet. Participants performed creation and modification tasks on iStar 2.0. We measured their accuracy, speed, and ease, using metrics of task success, time, and effort, collected with eye-tracking, EEG and EDA sensors, and participants' feedback. Results: Although participants with facet levels frequently seen in women had lower perceived performance and speed, their accuracy was higher. We also observed some statistically significant differences in visual effort, mental effort, and stress. Conclusions: Participants with a comprehensive information processing style and a more conservative attitude towards risk (characteristics more frequently seen in women) solved the tasks with a lower speed but higher accuracy.
识别信息处理风格、自我效能和机器人远程操作修补方面的性别差异
DOI：
10.1109/urai.2018.8441766
发表时间：
2018
期刊：
2018 15th International Conference on Ubiquitous Robots (UR
影响因子：
--
作者：
Showkat, Dilruba;Grimm, Cindy
通讯作者：
Grimm, Cindy