Automatically generating stories from sensor data

  • Authors:
  • Joseph Reddington;Nava Tintarev

  • Affiliations:
  • University of Aberdeen, Aberdeen, Scotland Uk;University of Aberdeen, Aberdeen, Scotland Uk

  • Venue:
  • Proceedings of the 16th international conference on Intelligent user interfaces
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

Recent research in Augmented and Alternative Communication (AAC) has begun to make use of Natural Language Generation (NLG) techniques. This creates an opportunity for constructing stories from sensor data, akin to existing work in life-logging. This paper examines the potential of using NLG to merge the AAC and life-logging domains. It proposes a four stage hierarchy that categorises levels of complexity of output text. It formulates a key subproblem of clustering sensor data into narrative events and describes three potential approaches for resolving this subproblem.