Answer Interaction in Non-factoid Question Answering Systems

Chen Qu, Liu Yang, W. Bruce Croft, Falk Scholer, Yongfeng Zhang
2019 Proceedings of the 2019 Conference on Human Information Interaction and Retrieval - CHIIR '19  
Information retrieval systems are evolving from document retrieval to answer retrieval. Web search logs provide large amounts of data about how people interact with ranked lists of documents, but very little is known about interaction with answer texts. In this paper, we use Amazon Mechanical Turk to investigate three answer presentation and interaction approaches in a non-factoid question answering setting. We find that people perceive and react to good and bad answers very differently, and
more » ... identify good answers relatively quickly. Our results provide the basis for further investigation of effective answer interaction and feedback methods.
doi:10.1145/3295750.3298946 dblp:conf/chiir/Qu0CSZ19 fatcat:xwmxk4ltv5htbm3775mlg7cydu