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Related Experiment Video

Updated: Jun 17, 2026

Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects
07:36

Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects

Published on: November 30, 2018

Does textual feedback hinder spoken interaction in natural language?

Ludovic Le Bigot1, Patrice Terrier, Eric Jamet

  • 1University of Poitiers & CNRS (CeRCA UMR 6234), Poitiers, France.

Ergonomics
|January 14, 2010
PubMed
Summary

Textual feedback does not disrupt spoken interactions with natural language dialogue systems. Adding text to speech-based systems may enhance user experience rather than hinder it.

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Area of Science:

  • Human-Computer Interaction
  • Natural Language Processing
  • Multimodal Systems

Background:

  • Research on multimodal feedback in human-computer dialogue is growing.
  • Previous studies suggest textual feedback benefits tasks reliant on visual senses.
  • The impact of textual feedback on spoken modalities, especially when the task is demanding, requires further investigation.

Purpose of the Study:

  • To determine the influence of textual feedback on spoken interaction content and outcomes.
  • To test the assumption that textual feedback might disrupt spoken human-computer dialogue.
  • To investigate the effect of textual feedback in a real-world natural language service system.

Main Methods:

  • 48 adult participants used a natural language service system for restaurant searches.
  • Scenarios varied in difficulty (simple/difficult).
  • Modalities included: speech-only (phone), speech plus textual dialogue history (multimodal), and text-only (web).

Main Results:

  • Linguistic content of dialogues varied by modality.
  • Dialogue content remained similar whether textual feedback was included in the spoken condition or not.
  • Textual feedback showed little to no detrimental effect on information searching via a real system.

Conclusions:

  • Textual feedback may enhance, rather than interfere with, spoken human-computer dialogue.
  • Adding textual feedback to interfaces for spoken dialogue systems is a viable enhancement.
  • The study contributes to understanding multimodal feedback in demanding spoken interaction tasks.