心理学报 ›› 2024, Vol. 56 ›› Issue (2): 179-193.doi: 10.3724/SP.J.1041.2024.00179
收稿日期:
2022-11-04
发布日期:
2023-12-01
出版日期:
2024-02-25
通讯作者:
陈全, E-mail: chenquan_0915@163.com
基金资助:
XU Lan1, CHEN Quan1(), CUI Nan2, GU Hong3
Received:
2022-11-04
Online:
2023-12-01
Published:
2024-02-25
摘要:
消费者在做出道德消费选择时, 要面对丰富的道德产品, 复杂地权衡功利利益和道德利益。算法决策推荐可以减轻道德消费决策的复杂性, 但是消费者在涉及道德伦理的权衡决策中对算法存在不信任, 因为算法是一种典型的以功利论来处理道德权衡问题的方式。本研究提出采用“共赢” (vs. “牺牲”)叙述框架对道德消费中的算法推荐信任有积极影响, 消费者对功利论式道德观念的接受程度中介了上述积极效应。实验1发现“共赢” (vs. “牺牲”)叙述框架会增加消费者选择算法推荐的意愿。实验2验证了“共赢” (vs. “牺牲”)叙述框架对消费者算法推荐信任的正向影响, 以及功利论式道德观念接受度的中介作用。实验3进一步识别了上述影响的边界条件, 即道德消费的“共赢” (vs. “牺牲”)叙述框架仅会增强消费者对算法替代型决策推荐的信任, 但是并不会改变消费者对于算法增强型决策推荐信任。
中图分类号:
徐岚, 陈全, 崔楠, 辜红. (2024). “共赢” vs. “牺牲”: 道德消费叙述框架对消费者算法推荐信任的影响. 心理学报, 56(2), 179-193.
XU Lan, CHEN Quan, CUI Nan, GU Hong. (2024). “Win-win” vs. “sacrifice”: Impact of framing of ethical consumption on trust in algorithmic recommendation. Acta Psychologica Sinica, 56(2), 179-193.
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