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Toward adaptive Conversational interfaces: Modeling speech convergence with animated personas (2004)
| Venue: | ACM TRANS. ON CHI |
| Citations: | 31 - 1 self |
BibTeX
@ARTICLE{Oviatt04towardadaptive,
author = {Sharon Oviatt and Courtney Darves and Rachel Coulston},
title = { Toward adaptive Conversational interfaces: Modeling speech convergence with animated personas},
journal = {ACM TRANS. ON CHI},
year = {2004},
volume = {3},
pages = {300--328}
}
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Abstract
The design of robust interfaces that process conversational speech is a challenging research direction largely because users’ spoken language is so variable. This research explored a new dimension of speaker stylistic variation by examining whether users’ speech converges systematically with the text-to-speech (TTS) heard from a software partner. To pursue this question, a study was conducted in which twenty-four 7-to-10-yearold children conversed with animated partners that embodied different TTS voices. An analysis of children’s amplitude, durational features, and dialogue response latencies confirmed that they spontaneously adapt several basic acoustic-prosodic features of their speech 10-50%, with the largest adaptations involving utterance pause structure and amplitude. Children’s speech adaptations were relatively rapid, bidirectional, and dynamically readaptable when introduced to new partners, and generalized across different types of users and TTS voices. Adaptations also occurred consistently, with 70-95 % of children converging with their partner’s TTS, although individual differences in magnitude of adaptation were evident. In the design of future conversational systems, users’ spontaneous convergence could be exploited to guide their speech within system processing bounds, thereby enhancing robustness. Adaptive system processing could yield further significant performance gains. The long-term goal of this research is the development of predictive models of human-computer communication to guide the design of new
Keyphrases
modeling speech convergence animated persona toward adaptive conversational interface new partner durational feature software partner significant performance gain speech adaptation user spoken language different tt voice predictive model several basic acoustic-prosodic feature child amplitude human-computer communication speech 10-50 utterance pause structure tt voice robust interface future conversational system individual difference new dimension challenging research direction user spontaneous convergence dialogue response latency animated partner different type twenty-four 7-to-10-yearold child adaptive system processing speaker stylistic variation long-term goal conversational speech
