From Seconds to Sentiments: Differential Effects of Chatbot Response Latency on Customer Evaluations
Kaeun Kim, Kaeun Kim, Ghazal Shams, Kawon Kim, Kawon Kim
University of South Carolina Hanyang University
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
Since the current literature is inconclusive on what standards best determine the optimal length of response time for chatbots, this study aims to (1) examine the effect of response latency of chatbots on customer evaluations, (2) identify the boundary conditions that moderate the effects of response latency, and (3) determine the underlying mechanism explaining the link between response latency and customer evaluations. Two scenario-based experimental studies were conducted to explore two boundary conditions, typing indicator (Study 1) and emotional support (Study 2). In Study 1, longer response latency diminished customer satisfaction, yet the presence of a typing indicator mitigated these negative effects, as customers perceived a stronger sense of social presence. In Study 2, moderate response latency combined with emotional support heightened chatbot evaluations. Findings from the current research highlight the contextual importance of response latency and human-like elements in shaping positive customer perceptions of chatbots.
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
计算机 / AIAI in Service Interactions
Sentiment Analysis and Opinion Mining · Digital Marketing and Social Media
参考文献 88
此处列出前 3 条
引用本文 10
按被引量排序,此处列出前 3 条