Mining mixed-initiative dialogs

Saverio Perugini
2016 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)  
Human-computer dialogs are an important vehicle through which to produce a rich and compelling form of humancomputer interaction. We view the specification of a humancomputer dialog as a set of sequences of progressive interactions between a user and a computer system, and mine partially ordered sets, which correspond to mixing dialog initiative, embedded in these sets of sequences-a process we refer to as dialog mining-because partially ordered sets can be advantageously exploited to reduce
more » ... loited to reduce the control complexity of a dialog implementation. Our mining losslessly compresses the specification of a dialog. We describe our mining algorithm and report the results of a simulation-oriented evaluation. Our algorithm is sound, and our results indicate that it can compress nearly all dialog specifications, and some to a high degree. This work is part of broader research on the specification and implementation of mixed-initiative dialogs.
doi:10.1109/smc.2016.7844579 dblp:conf/smc/Perugini16 fatcat:guy2zuxaqjgvpdj4zeo35gq4i4