Towards automatic cognitive load measurement from speech analysis

Authors:
Bo Yin;Fang Chen
Affiliations:
School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, NSW, Australia;School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, NSW, Australia and National ICT Australia, Australian Technology Park, Eveleigh, Australia
Venue:
HCI'07 Proceedings of the 12th international conference on Human-computer interaction: interaction design and usability
Year:
2007

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Abstract

Cognitive Load, as an indicator of pressure on working memory during task performing, attracts more and more research interests in recent years. By correctly measuring cognitive load levels, the system can adjust task procedure to maintain the cognitive load in an acceptable range; therefore, the subject can execute tasks more accurately and efficiently. Among many different cognitive load measuring approaches, speech-based measurement is effective due to its non-intrusive nature and possibility of online measurement. Most existing research on speech-based cognitive load measurement is based on manually extracted features, which prevent practical use. In this paper, some potential speech features, such as rate of pauses and rate of pitch peaks are investigated and proved to be effective. All feature extraction is based on automatic algorithm.