Paper: Predicting And Managing Spoken Disfluencies During Human-Computer Interaction

ACL ID H94-1041
Title Predicting And Managing Spoken Disfluencies During Human-Computer Interaction
Venue Human Language Technologies
Session Main Conference
Year 1994
Authors

This research characterizes the spontaneous spoken disfluen- cies typical of human-computer interaction, and presents a predictive model accounting for their occurrence. Data were collected during three empirical studies in which people spoke or wrote to a highly interactive simulated system. The stud- ies involved within-subject factorial designs in which input modality and presentation format were varied. Spoken dis- fluency rates during human-computer interaction were doc- umented to be substantially lower than rates typically ob- served during comparable human-human speech. Two sep- arate factors, both associated with increased planning de- mands, were statistically related to increased speech disflu- ency rates: (1) length of utterance, and (2) lack of struc- ture in the presentation ...