专业写作者对生成式AI的又竞又合关系，影响工作方式与成果。
Investigating Writing Professionals' Relationships with Generative AI: How Combined Perceptions of Rivalry and Collaboration Shape Work Practices and Outcomes
- 区分竞合两种心态：对抗促技能维持，合作提效率但伤长期能力
- 兼具高对抗与高合作心态者，工作成效最优，且更可持续
- 建议设计时增加竞争感、减少依赖，平衡人机协作关系
本研究通过针对403名不同角色的专业写作者的横断面调查，探究其与生成式AI之间复杂关系如何影响工作实践与成果。结果显示，对抗心态主要关联于关系构建与技能维护；合作心态则主要关联任务重构、生产效率与满意度，但伴随长期技能退化。当两种心态并存（高对抗+高合作）时，可调和上述矛盾，并显著增强积极成果。研究主张应采取平衡策略：在保持高水平对抗与合作的基础上塑造工作模式，以实现职业长期成功。文章提出关键设计启示：应适当增加摩擦（对抗），减少过度依赖（合作），以达成更健康的人机关系。
原文摘要 · Abstract (English)
This study investigates how professional writers' complex relationship with GenAI shapes their work practices and outcomes. Through a cross-sectional survey with writing professionals (n=403) in diverse roles, we show that collaboration and rivalry orientation are associated with differences in work practices and outcomes. Rivalry is primarily associated with relational crafting and skill maintenance. Collaboration is primarily associated with task crafting, productivity, and satisfaction, at the cost of long-term skill deterioration. Combination of the orientations (high rivalry and high collaboration) reconciles these differences, while boosting the association with the outcomes. Our findings argue for a balanced approach where high levels of rivalry and collaboration are essential to shape work practices and generate outcomes aimed at the long-term success of the job. We present key design implications on how to increase friction (rivalry) and reduce over-reliance (collaboration) to achieve a more balanced relationship with GenAI.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。