TY - GEN
T1 - Exploring initiative strategies using computer simulation
AU - Yang, Fan
AU - Heeman, Peter A.
PY - 2007
Y1 - 2007
N2 - We envision that next-generation spoken dialogue systems will be mixed-initiative. However, it is unclear how exactly a mixed-initiative strategy should be designed; under what circumstances should the system take the initiative, and under what circumstances should it let the user do so. The initiative strategies used in human-human conversation are a good starting point, because they are natural for the user to follow. Studying human-human conversation, however, only gives a descriptive account of human strategies. In this paper, we explore the use of computer simulation to better understand human conventions and give an explanatory account. We have two software agents solve a collaborative task using different initiative strategies, the first derived from analysis of human-human dialogues, and two alternatives based on proposals in the literature. Our simulation results show that the former is more efficient than the others. This helps support the explanation that people use an initiative strategy that minimizes collaborative effort.
AB - We envision that next-generation spoken dialogue systems will be mixed-initiative. However, it is unclear how exactly a mixed-initiative strategy should be designed; under what circumstances should the system take the initiative, and under what circumstances should it let the user do so. The initiative strategies used in human-human conversation are a good starting point, because they are natural for the user to follow. Studying human-human conversation, however, only gives a descriptive account of human strategies. In this paper, we explore the use of computer simulation to better understand human conventions and give an explanatory account. We have two software agents solve a collaborative task using different initiative strategies, the first derived from analysis of human-human dialogues, and two alternatives based on proposals in the literature. Our simulation results show that the former is more efficient than the others. This helps support the explanation that people use an initiative strategy that minimizes collaborative effort.
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M3 - Conference contribution
AN - SCOPUS:56149118245
SN - 9781605603162
T3 - International Speech Communication Association - 8th Annual Conference of the International Speech Communication Association, Interspeech 2007
SP - 1069
EP - 1072
BT - International Speech Communication Association - 8th Annual Conference of the International Speech Communication Association, Interspeech 2007
PB - Unavailable
T2 - 8th Annual Conference of the International Speech Communication Association, Interspeech 2007
Y2 - 27 August 2007 through 31 August 2007
ER -