Ruobing FU
Biographic Data
| ID | 8916647 |
|---|---|
| NAME | Ruobing FU |
| GIVEN NAMES | Ruobing |
| FAMILY NAME | FU |
| SIGNATURE | FU R |
| AFFILIATIONS | School of Psychology and Cognitive Science East China Normal University Shanghai China |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
People Overestimate How Much Gossiping Encourages Listeners’ Self-Disclosure
Gossip is ubiquitous. People gossip for several reasons. Beyond well-studied explanations, we propose an underexplored reason: tellers overestimate the extent to which gossiping encourages listeners’ self-disclosure. This overestimation is observed for gossip but not for nongossip, and for self-disclosure but not for disclosing information unrelated to oneself. We also document that tellers’ overestimation arises because tellers (vs. listeners) f…
Interpersonal Effects of Using Selection or Elimination
Decision makers employ either a selection strategy to choose desirable options or an elimination strategy to remove undesirable options. While previous research has revealed how these two strategies influence decision processes and outcomes, the interpersonal influences remain understudied. This research fills this gap by documenting that people are less willing to interact with decision makers who use an elimination (vs. selection) strategy due …
Not Relying on Emotions
Organizations are increasingly using algorithms in various fields. Existing research has investigated how people perceive algorithms and tasks performed by algorithms while leaving how people perceive organizations using algorithms understudied. This research reveals the “organizations using algorithms = less warm” effect, demonstrating that organizations employing algorithms are considered less warm than those employing human experts. This perce…
Do others value objective or subjective attributes more? Misprediction about others’ experiences
摘要: 为作出令他人满意的决策, 人需准确预测各选项带给他人的体验有何差异。不同选项在客观属性和主观属性上的表现常有优劣之分。相较而言, 选项在客观属性上的表现更容易被明确、公认的标准衡量, 在主观属性上的表现更取决于个人偏好。本研究考察人能否准确预测客观占优选项(客观属性上表现较好但主观属性上表现较差)和主观占优选项(客观属性上表现较差但主观属性上表现较好)带给他人体验之间的差异。通过4项研究发现, 人在预测他人体验时高估主观占优选项(相比客观占优选项)的优势(研究1)。原因是预测者认为他人不够理性, 高估他人更看重主观属性而非客观属性的程度(研究2)。由于错误预测他人体验, 预测者过度为他人选择主观占优选项(研究3), 也给自己带来经济损失(研究4)。本研究丰富了预测偏差、自己-他人决策差异、朴素理性观等领域研究, 启示代理决策者和营销人员应精准预测客户体验, 方可为他人作出理想决策、收获消费者好评
No prominent works on this page.
Not Relying on Emotions
Organizations are increasingly using algorithms in various fields. Existing research has investigated how people perceive algorithms and tasks performed by algorithms while leaving how people perceive organizations using algorithms understudied. This research reveals the “organizations using algorithms = less warm” effect, demonstrating that organizations employing algorithms are considered less warm than those employing human experts. This perce…
Do others value objective or subjective attributes more? Misprediction about others’ experiences
摘要: 为作出令他人满意的决策, 人需准确预测各选项带给他人的体验有何差异。不同选项在客观属性和主观属性上的表现常有优劣之分。相较而言, 选项在客观属性上的表现更容易被明确、公认的标准衡量, 在主观属性上的表现更取决于个人偏好。本研究考察人能否准确预测客观占优选项(客观属性上表现较好但主观属性上表现较差)和主观占优选项(客观属性上表现较差但主观属性上表现较好)带给他人体验之间的差异。通过4项研究发现, 人在预测他人体验时高估主观占优选项(相比客观占优选项)的优势(研究1)。原因是预测者认为他人不够理性, 高估他人更看重主观属性而非客观属性的程度(研究2)。由于错误预测他人体验, 预测者过度为他人选择主观占优选项(研究3), 也给自己带来经济损失(研究4)。本研究丰富了预测偏差、自己-他人决策差异、朴素理性观等领域研究, 启示代理决策者和营销人员应精准预测客户体验, 方可为他人作出理想决策、收获消费者好评
People Overestimate How Much Gossiping Encourages Listeners’ Self-Disclosure
Gossip is ubiquitous. People gossip for several reasons. Beyond well-studied explanations, we propose an underexplored reason: tellers overestimate the extent to which gossiping encourages listeners’ self-disclosure. This overestimation is observed for gossip but not for nongossip, and for self-disclosure but not for disclosing information unrelated to oneself. We also document that tellers’ overestimation arises because tellers (vs. listeners) f…
Interpersonal Effects of Using Selection or Elimination
Decision makers employ either a selection strategy to choose desirable options or an elimination strategy to remove undesirable options. While previous research has revealed how these two strategies influence decision processes and outcomes, the interpersonal influences remain understudied. This research fills this gap by documenting that people are less willing to interact with decision makers who use an elimination (vs. selection) strategy due …
Psychology (3 works) · Computer Science (2 works) · Social Psychology (2 works) · AI in Service Interactions (1 work) · Algorithm (1 work) · Behavioral Health and Interventions (1 work) · Data mining (1 work) · Debiasing (1 work) · Decision analysis (1 work) · Decision problem (1 work)