Making conversations with chatbots more personalized

作者：

Highlights：

• Consumer personality can be predicted using machine learning.

• Response language can be used to infer chatbot personality.

• Matched consumer-chatbot personality improves sales and engagement.

• Matching is most beneficial for socially important interactions.

摘要

•Consumer personality can be predicted using machine learning.•Response language can be used to infer chatbot personality.•Matched consumer-chatbot personality improves sales and engagement.•Matching is most beneficial for socially important interactions.

论文关键词：Chatbot,Personality,Human-computer interaction

论文评审过程：Received 30 March 2020, Revised 26 August 2020, Accepted 5 November 2020, Available online 17 November 2020, Version of Record 16 January 2021.

论文官网地址：https://doi.org/10.1016/j.chb.2020.106627