Design and Validation of a Stress Detection Model for Use with a VR Based Interview Simulator for Autistic Young Adults
Design and Validation of a Stress Detection Model for Use with a VR Based Interview Simulator for Autistic Young Adults
复制标题
与基于 VR 的自闭症年轻人访谈模拟器一起使用的压力检测模型的设计和验证
DOI：
10.1007/978-3-030-78092-0_40
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Sarkar, N.
中科院分区：
文献类型：
--
作者：
Migovich, M;Korman, A;Wade, J;Sarkar, N.
研究表明，年轻的自闭症成年人处于失业或失业状态，几乎一半的人在20多岁时从未有过一份有报酬的工作。这一人群的失业导致个人成长减缓，对照顾者的依赖增加。研究表明，面试过程是这一人群就业的最大障碍之一。自闭症患者经常在情绪调节方面遇到困难，面试过程可能会加剧这种情况。为了解决这个问题，我们建议使用压力检测模型结合虚拟现实面试模拟器。这种组合将允许访谈适应参与者的状态，以提高用户的技能和参与度，并积极影响他们的舒适度。关于对各类问题的负面情感反应的数据也可用于告知雇主更好的面试技巧。使用从完成修改的计算机化步调串行加法任务（PASAT-C）的神经型参与者获得的数据设计模型，并在从参加模拟面试的自闭症参与者获得的数据集上进行评估。基于Pearson相关系数比较模型与真实值之间的一致性。发现wasr（289）= 0.28，具有统计学显著性（p<0.001; CI：0.17 - 0.38）。我们的初步结果提供了证据的有效性，基于标签的数据捕获使用手腕佩戴的生理传感器。
Studies show that young autistic adults are under- or unemployed, with almost half never holding a paying job in their 20’s. Unemployment within this population leads to decreased personal growth and increased dependence on caregivers. Research suggests that the interview process is one of the largest barriers to employment for this population. Autistic individuals often struggle with emotion regulation, which can be exacerbated by the interview process. To address this, we propose the use of a stress detection model in conjunction with a virtual reality interview simulator. This combination will allow for the interview to adapt to the state of the participant to improve the skills and engagement of the user and positively influence their comfort level. Data regarding negative affective responses to categories of questions can also be used to inform employers on better interviewing techniques. A model was designed using data obtained from neurotypical participants completing a modified Computerized Paced Serial Addition Task (PASAT-C) and evaluated on a dataset obtained from Autistic participants who took part in a simulated interview. Agreement between the model and ground truth was compared based on Pearson correlation coefficients. It was found that wasr(289) = 0.28, which was statistically significant (p< .001; CI: 0.17 to 0.38). Our preliminary results provide evidence for the validity of observer-based labeling of data captured using a wrist-worn physiological sensor.
影响因子：
5.2
作者：
Kenny, Lorcan;Hattersley, Caroline;Pellicano, Elizabeth
通讯作者：
Pellicano, Elizabeth
DOI：
10.1016/j.jaac.2013.05.006
发表时间：
2013-07
影响因子：
13.3
作者：
Mazefsky CA;Herrington J;Siegel M;Scarpa A;Maddox BB;Scahill L;White SW
通讯作者：
White SW
影响因子：
3.9
作者：
Burke, Shanna L.;Li, Tan;Garcia, Stephanie
通讯作者：
Garcia, Stephanie