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Category
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Description
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Summary of Findings
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Section |
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Motivations, use, and non-use
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Why and how WCA was used or not used
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Top use cases focused on code understanding; “off-label” usage by content designers; unmet needs for specialized technologies (e.g. DB2, Maximo)
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4.1 |
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Use of generated content
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Ways that generated content was reviewed & used
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Content modified before use; outputs also used for learning and inspiration
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4.2 |
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Impact onproductivity
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Impact of WCA on various dimensions (effort, speed, work quality, self-efficacy)
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Small net productivity improvement, but with mixed and disparate impact
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4.3 |
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Authorship &responsibility
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Who deserves authorship credit and who is responsible for avoiding inclusion of copyrighted IP?
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WCA deserving of authorship credit for co-creative activity; users and WCA have a joint responsibility to avoid inclusion of copyrighted IP
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4.4 |
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Impact on job role
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How AI assistants might change the developer profession
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AI lets developers focus on higher-level tasks; potential for deskilling; increased productivity translates into increased expectations
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4.5 |
