用户人格与评分量表特征对评分行为的影响：一项实证研究
The influence of user personality and rating scale features on rating behaviour: an empirical study
AI总结：
该实证研究基于大五人格模型，通过203名参与者的图像评分网络调查，探究评分量表的粒度与颜色对不同人格用户评分行为的影响，发现二者的影响效果会随宜人性、经验开放性和尽责性等人格特质的得分发生变化。
摘要：
用户评分被广泛应用于各类网络系统与应用中，用于提供个性化交互并帮助其他用户做出更优选择。已有研究表明，评分量表特征与用户人格均会影响用户的评分行为，但针对评分量表特征的影响是否会随用户人格特质变化而变化的研究相对较少。\n 本文研究了量表粒度与颜色对不同人格个体评分的影响，人格特质采用大五（Big Five）模型进行表征。为此，我们开展了一项包含203名参与者的用户研究，研究基于网络调查展开，要求用户完成图像评分任务。\n 我们的研究结果证实，颜色与粒度都会影响用户评分，但二者的具体影响还取决于用户在特定人格特质上的得分，尤其是宜人性、经验开放性和尽责性。
英文摘要：
User ratings are widely used in web systems and applications to provide personalized interaction and to help other users make better choices. Previous research has shown that rating scale features and user personality can both influence users' rating behaviour, but relatively little work has been devoted to understanding if the effects of rating scale features may vary depending on users' personality. In this paper, we study the impact of scale granularity and colour on the ratings of individuals with different personalities, represented according to the Big Five model. To this aim, we carried out a user study with 203 participants, in the context of a web-based survey where users were assigned an image rating task. Our results confirm that both colour and granularity can affect user ratings, but their specific effects also depend on user scores for certain personality traits, in particular agreeableness, openness to experience and conscientiousness.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
