On the potential of supporting autonomy in online video interview training platforms

IF 5.3 2区计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS

International Journal of Human-Computer Studies Pub Date : 2024-06-28 DOI:10.1016/j.ijhcs.2024.103326

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引用次数: 0

Abstract

Rising unemployment has led to many discouraged job seekers. While the impact of job seekers’ motivation on interview performance is acknowledged in previous research, little attention has been given to understanding the effect of training on interview motivation and performance. We present InterviewApp, an online interview training tool aiming to support interview motivation through autonomy, relatedness and competence needs derived from Self-Determination Theory and, in turn, performance. Through a four-month study (N=135), we assess its effectiveness in supporting job seekers’ interview motivation and performance. Our results demonstrate the role of autonomy in mediating the effect of training on performance. We found that the intervention significantly affected the job seekers’ perceived autonomy. Furthermore, engagement with the recording and feedback features of the tool positively impacted performance. Overall, job seekers found InterviewApp helpful for online interview training and valued the provided expert feedback. These findings have implications for the design of online interview training tools and for behaviour change interventions to support employment.

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论在线视频面试培训平台支持自主性的潜力

失业率上升导致许多求职者心灰意冷。虽然求职者的动机对面试表现的影响在以往的研究中得到了认可，但很少有人关注培训对面试动机和表现的影响。我们介绍的 InterviewApp 是一种在线面试培训工具，旨在通过源自自我决定理论的自主性、相关性和能力需求来支持面试动机，进而提高面试表现。通过为期四个月的研究（N=135），我们评估了该工具在支持求职者面试动机和表现方面的有效性。我们的研究结果表明，自主性在调解培训对绩效的影响方面发挥了作用。我们发现，干预措施极大地影响了求职者的自主感知。此外，参与该工具的记录和反馈功能也对表现产生了积极影响。总体而言，求职者认为 InterviewApp 有助于在线面试培训，并对提供的专家反馈意见非常重视。这些研究结果对在线面试培训工具的设计以及支持就业的行为改变干预措施都有启示意义。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Human-Computer Studies 工程技术-计算机：控制论

CiteScore

11.50

自引率

5.60%

发文量

108

审稿时长

3 months

期刊介绍： The International Journal of Human-Computer Studies publishes original research over the whole spectrum of work relevant to the theory and practice of innovative interactive systems. The journal is inherently interdisciplinary, covering research in computing, artificial intelligence, psychology, linguistics, communication, design, engineering, and social organization, which is relevant to the design, analysis, evaluation and application of innovative interactive systems. Papers at the boundaries of these disciplines are especially welcome, as it is our view that interdisciplinary approaches are needed for producing theoretical insights in this complex area and for effective deployment of innovative technologies in concrete user communities. Research areas relevant to the journal include, but are not limited to: • Innovative interaction techniques • Multimodal interaction • Speech interaction • Graphic interaction • Natural language interaction • Interaction in mobile and embedded systems • Interface design and evaluation methodologies • Design and evaluation of innovative interactive systems • User interface prototyping and management systems • Ubiquitous computing • Wearable computers • Pervasive computing • Affective computing • Empirical studies of user behaviour • Empirical studies of programming and software engineering • Computer supported cooperative work • Computer mediated communication • Virtual reality • Mixed and augmented Reality • Intelligent user interfaces • Presence ...