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Title: Positive Feedback and Self-Reflection: Features to Support Self-efficacy among Underrepresented Job Seekers
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.  more » « less
Award ID(s):
1717186
NSF-PAR ID:
10183911
Author(s) / Creator(s):
;
Date Published:
Journal Name:
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
Page Range / eLocation ID:
1 to 13
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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