Symptoms of cognitive load in interactions with a dialogue system

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Humans adapt their behaviour to the perceived cognitive load of their dialogue partner, for example, delaying non-essential information. We propose that spoken dialogue systems should do the same, particularly in high-stakes scenarios, such as emergency response. In this paper, we provide a summary of the prosodic, turn-taking and other linguistic symptoms of cognitive load analysed in the literature. We then apply these features to a single corpus in the restaurant-finding domain and propose new symptoms that are evidenced through interaction with the dialogue system, including utterance entropy, speech recognition confidence, as well as others based on dialogue acts.

Original languageEnglish
Title of host publicationProceedings of the Workshop on Modeling Cognitive Processes from Multimodal Data
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450360722
DOIs
Publication statusPublished - 16 Oct 2018
Event2018 Workshop on Modeling Cognitive Processes from Multimodal Data - Boulder, United States
Duration: 16 Oct 201816 Oct 2018

Conference

Conference2018 Workshop on Modeling Cognitive Processes from Multimodal Data
Abbreviated titleMCPMD 2018
CountryUnited States
CityBoulder
Period16/10/1816/10/18

Keywords

  • Cognitive load
  • Multi-modal Systems
  • Spoken Dialogue Systems

ASJC Scopus subject areas

  • Modelling and Simulation

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