Conference proceeding
User Perceptions and Gender in End-User Debugging: How Do They Affect Outcomes?
2009 IEEE SYMPOSIUM ON VISUAL LANGUAGES AND HUMAN-CENTRIC COMPUTING, PROCEEDINGS, pp 217-224
01 Jan 2009
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Empirical studies of end-user debugging have revealed that males outperform females An explanation of this phenomenon is that males have higher perceived self-efficacy (or confidence) than females in their ability to debug However, it is not clear whether self-efficacy is the primary or sole wiser self-perception that affects males' and females' performance. In this study, we investigate additional factors that may predict performance, including perceived ease of use, perceived usefulness, and intensity of flow, A hierarchical regression including both genders was used to analyze the relationships of the users self-perceptions on performance outcomes The results show that self-efficacy, perceived ease of use, and perceived usefulness are most predictive of performance. Surprisingly females' self-perceptions did not predict performance.
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Details
- Title
- User Perceptions and Gender in End-User Debugging: How Do They Affect Outcomes?
- Creators
- Thippaya Chintakovid - Drexel UniversitySusan Wiedenbeck - Drexel University
- Contributors
- R DeLine (Editor)M Minas (Editor)M Erwig (Editor)
- Publication Details
- 2009 IEEE SYMPOSIUM ON VISUAL LANGUAGES AND HUMAN-CENTRIC COMPUTING, PROCEEDINGS, pp 217-224
- Series
- Symposium on Visual Languages and Human Centric Computing VL HCC
- Publisher
- IEEE
- Number of pages
- 8
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:000275025600030
- Scopus ID
- 2-s2.0-73449093155
- Other Identifier
- 991019167342204721
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- Web of Science research areas
- Computer Science, Software Engineering