更强大的算法信念与在不理想的在线约会场景中更仁慈的解释有关
1Department of Communication, Michigan State University, East Lansing, Michigan, USA.
Cyberpsychology, behavior and social networking
|June 18, 2025
概括
在网上约会中更高的算法信念导致对困难情况的更积极的解释,可能会减少倦怠. 这项研究探讨了影响约会应用体验的认知和情绪因素.
科学领域:
- 沟通研究 沟通研究
- 心理学 心理学 心理学
- 人与计算机的交互
背景情况:
- 在线约会很普遍,用户经常依靠算法找到兼容的合作伙伴.
- 算法信仰,对算法的配对能力的信任,理论上可以通过自我实现的预言来影响在线约会体验.
研究的目的:
- 研究将算法信念与在线约会体验联系起来的认知和情感机制.
- 检查算法信仰如何影响在线约会场景中解释和情绪反应.
主要方法:
- 基于场景的设计被使用在101名本科生谁有网上约会经验.
- 参与者被随机分配到24个不理想的在线约会场景中的4个.
- 交叉随机效应建模用于分析数据.
主要成果:
- 具有较高算法信念的参与者报告了对不理想的在线约会情况的更积极和更少的负面解释.
- 算法信仰与增加的心理痛苦没有显著的关联.
- 研究结果表明,算法信念与更适应的评估过程之间存在联系.
结论:
- 算法信念可以通过对具有挑战性的情况进行更积极的解释来增强在线约会体验.
- 针对算法信仰的干预措施可以帮助缓解在线约会倦怠.
- 需要进一步的研究才能充分理解数字浪漫中认知,情感和算法因素的复杂相互作用.
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