Positive Feedback and Self-Reflection: Features to Support Self-efficacy among Underrepresented Job Seekers

要旨

Technologies play a key role in finding employment in today's job market. However, the majority of those who are unemployed, e.g., individuals who have limited education or who are racial and ethnic minorities, are not well supported by existing digital employment tools. Therefore, we conducted an 8-month randomized field experiment to evaluate two tools—Review-Me and Interview4—designed to address these job seekers' key employment needs. We used the Theory of Planned Behavior to examine the tools' effects on three factors influencing job seekers' job search intention: job search self-efficacy, subjective norms, and job search attitudes. Our interview data suggested that the tools positively affected all factors, but our survey results were mixed. Interview results suggest that these trends were caused by positive feedback and self-reflection. We contribute ways to integrate these two features into future tools for, and techniques to increase study retention among, underrepresented job seekers.

キーワード
Employment
Theory of Planned Behavior
Underrepresented Job seekers
著者
Tawanna R. Dillahunt
University of Michigan, Ann Arbor, MI, USA
Joey Chiao-Yin Hsiao
University of Michigan, Ann Arbor, MI, USA
DOI

10.1145/3313831.3376717

論文URL

https://doi.org/10.1145/3313831.3376717

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: Supporting wellbeing

Paper session
317AB KAHO'OLAWE
5 件の発表
2020-04-29 18:00:00
2020-04-29 19:15:00
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