title: Does textual feedback hinder spoken interaction in natural language?
abstract: The aim of the study was to determine the influence of textual feedback on the content and outcome of spoken interaction with a natural language dialogue system. More specifically, the assumption that textual feedback could disrupt spoken interaction was tested in a human-computer dialogue situation. In total, 48 adult participants, familiar with the system, had to find restaurants based on simple or difficult scenarios using a real natural language service system in a speech-only (phone), speech plus textual dialogue history (multimodal) or text-only (web) modality. The linguistic contents of the dialogues differed as a function of modality, but were similar whether the textual feedback was included in the spoken condition or not. These results add to burgeoning research efforts on multimodal feedback, in suggesting that textual feedback may have little or no detrimental effect on information searching with a real system. STATEMENT OF RELEVANCE: The results suggest that adding textual feedback to interfaces for human-computer dialogue could enhance spoken interaction rather than create interference. The literature currently suggests that adding textual feedback to tasks that depend on the visual sense benefits human-computer interaction. The addition of textual output when the spoken modality is heavily taxed by the task was investigated.
authors.affiliation: University of Poitiers & CNRS (CeRCA UMR 6234), Poitiers, France.
authors.forename: Ludovic
authors.initials: L
authors.lastname: Le Bigot
authors.forename: Patrice
authors.initials: P
authors.lastname: Terrier
authors.forename: Eric
authors.initials: E
authors.lastname: Jamet
authors.forename: Valerie
authors.initials: V
authors.lastname: Botherel
authors.forename: Jean-Francois
authors.initials: JF
authors.lastname: Rouet
mesh_terms: D000328:Adult; D003142:Communication; D003143:Communication Devices for People with Disabilities; D005240:Feasibility Studies; D005260:Female; D006801:Humans; D020407:Internet; D008297:Male; D009323:Natural Language Processing; D011932:Reading; D014584:User-Computer Interface; D014705:Verbal Behavior; D055815:Young Adult