Forbes-Riley, K and Litman, D
(2012)
Adapting to multiple affective states in spoken dialogue.
In: UNSPECIFIED.
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Abstract
We evaluate a wizard-of-oz spoken dialoguesystem that adapts to multiple user affectivestates in real-time: user disengagement anduncertainty. We compare this version with theprior version of our system, which only adaptsto user uncertainty. Our analysis investigateshow iteratively adding new affect adaptationto an existing affect-adaptive system impactsglobal and local performance. We find a significantincrease in motivation for users whomost frequently received the disengagementadaptation. Moreover, responding to disengagementbreaks its negative correlations withtask success and user satisfaction, reduces uncertaintylevels, and reduces the likelihood ofcontinued disengagement.
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