Intelligent conversational assistants (ICAs) have changed the way that people search online information but health-related search is still limited in voice-driven interface. One of major challenges is that it demands iterative interaction and makes the search complex. This pilot study attempted to identify interaction barriers to the use of ICAs in searching health information through investigating information search performance and perceived mental workload in using Google Assistant versus Google Chrome in different health-related scenarios.

Learning Objective 1: After participating in this session, the learner should be better able to:
Understand the current barriers to the use of intelligent conversation agents in seeking health information.
Learn that the use of conversational agents will have different influences on users search process and cognitive workload in different health-related scenarios.


Zhaopeng Xing, University of North Carolina at Chapel Hill
Fei Yu (Presenter)
University of North Carolina at Chapel Hill

Presentation Materials: