Automatic Evaluation Tool for Multimodal Dialogue Systems

  • Authors:
  • Hugo Wesseling;Matthias Bezold;Nicole Beringer

  • Affiliations:
  • Elektrobit Automotive GmbH, Erlangen, Germany 91058 and Institute of Information Technology, University of Ulm, Germany 89081;Elektrobit Automotive GmbH, Erlangen, Germany 91058 and Institute of Information Technology, University of Ulm, Germany 89081;Elektrobit Automotive GmbH, Erlangen, Germany 91058

  • Venue:
  • PIT '08 Proceedings of the 4th IEEE tutorial and research workshop on Perception and Interactive Technologies for Speech-Based Systems: Perception in Multimodal Dialogue Systems
  • Year:
  • 2008

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Abstract

This paper presents a system built for improving the evaluation process of multimodal dialogue systems by providing a graphical representation of event-based recording data. Low-level information from recordings can visually be combined to form higher-level actions using pattern definitions to create a hierarchy of actions. Actions are visually represented by a multitrack player-like view where all modalities of the recording can be watched and manipulated. But besides tagging and derivation of higher-level actions, further help is provided by a correlation analysis and an export of charts and tables to Microsoft Excel. The tool is tested on recording data and questionnaire answers obtained from Wizard of Oz (WOZ) experiments performed within the DICIT project.