Sunday, April 24, 2011

Paper Reading #25: Using language complexity to measure cognitive load for adaptive interaction design

Title: Using language complexity to measure cognitive load for adaptive interaction design
Authors: M. Asif Khawaja, Fang Chen, and Nadine Marcus.
Venue: IUI '10 Proceedings of the 15th international conference on Intelligent user interfaces

Comments
Summary
This paper was based heavily on the concept of cognitive load, the idea that a given task imposes a mental load on the individual working on it similar to the load on a CPU. The authors present an adaptive interaction system which measures this load, and adapts itself to improve user experience and performance. Cognitive load is measured through speech content analysis based on their language and dialog complexity. Because the medium used for measuring cognitive load was speech, operators (such as support) were analyzed for the data presented. A breakdown of data collected is included in the table below.



Discussion
I found that this paper was less about an adaptive system and more study focused than the authors originally claimed, which suggests that the abstract is somewhat misleading. As a study however, I feel their work is promising. There is obviously a correlation between speech and cognitive load, although more work should be done to investigate other ways of measuring cognitive load so that the results can be verified more strongly.

2 comments:

  1. I agree, the paper presents some interesting results but really needs more investigation.

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  2. I agree with you both. The authors need more time to explain and go deeper into how this would work.

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