Paper Info
Title
Informing the Design of Conversational IR Systems: Framework and Result Presentation
Abstract
Recent developments in conversational IR have raised questions about the nature of interactions which occur between the user and the system and the cognitive capabilities expected of such systems. In our research, we investigate the completeness of existing theoretical frameworks in explaining conversational search data propose modifications to such systems. The linear and transient nature of speech makes it cognitively challenging for the user to process a large amount of information. We propose a study to evaluate the users' preference of modalities when using conversational search systems. The study will help us to understand how results should be presented in a conversational search system. As we observe how users search using audio queries, interact with the intermediary, and process the results presented, we aim to develop an insight on how to present results more efficiently in a conversational search setting. We also plan on exploring the effectiveness and consistency of different media in a conversational search setting. Our observations will inform future designs and help to create a better understanding of such systems.
Year
DOI
Venue
2019
10.1145/3331184.3331422
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval
Keywords
Field
DocType
conversational information retrieval, framework, information seeking, model, result presentation, spoken search
Information retrieval,Computer science
Conference
ISBN
Citations 
PageRank 
978-1-4503-6172-9
0
0.34
References 
Authors
0
1
Name
Order
Citations
PageRank
Souvick Ghosh1177.81