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Investigations of search processes that involve complex interactions, such as collaborative search processes, are important research topics. Previous approaches of directly applying individual search process models into collaborative settings have proven to be problematic. In this paper, we proposed an innovative approach to model collaborative search processes using Hidden Markov Model (HMM), which is an automatic technique for analyzing temporal sequential data. Obtained through a user study,doi:10.1145/2531602.2531658 dblp:conf/cscw/YueHH14 fatcat:m6lodxa7rvewjiwmkw4qw4aq4a