An adaptive speech interface for assistance in maintenance and changeover procedures

Frieder Loch, Julia Czerniak, Valeria Villani, Lorenzo Sabattini, Cesare Fantuzzi, Alexander Mertens, Birgit Vogel-Heuser

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

Machine operators remain important in future production environments and need intuitive and powerful interaction techniques. Many assistance and support applications for machine operators use speech-based interfaces since they are suitable during manual tasks and when visual attention cannot be occupied. Due to developments like the demographic change or the need for skilled personnel, the skills and capabilities of the workers will become increasingly diverse. Speech-based interfaces therefore need to be adaptable to the capabilities, limitations and preferences of individual operators. This paper addresses this requirement and proposes an adaptive speech interface that supports machine operators during maintenance and changeover procedures. All aspects of the proposed application can be adapted to the requirements of the user. The system uses a process model, instruction templates, a user model, and a model of the input vocabulary to describe the components of the application. This allows a flexible adaptation of the speech interface and the provided instructions to the requirements of individual users and to further use cases.

Original languageEnglish
Title of host publicationHuman-Computer Interaction. Theories, Methods, and Human Issues - 20th International Conference, HCI International 2018, Proceedings
EditorsMasaaki Kurosu
PublisherSpringer Verlag
Pages152-163
Number of pages12
ISBN (Print)9783319912493
DOIs
StatePublished - 2018
Event20th International Conference on Human-Computer Interaction, HCI 2018 - Las Vegas, United States
Duration: 15 Jul 201820 Jul 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10903 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th International Conference on Human-Computer Interaction, HCI 2018
Country/TerritoryUnited States
CityLas Vegas
Period15/07/1820/07/18

Keywords

  • Adaptive user interfaces
  • Assistance systems
  • Modelling
  • Speech-based interaction

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