Comparison of Attention Behaviour Across User Sets through Automatic Identification of Common Areas of Interest

6533b7d0fe1ef96bd125acee

RESEARCH PRODUCT

Comparison of Attention Behaviour Across User Sets through Automatic Identification of Common Areas of Interest

Aida Nordman Jouni Helske Prithiviraj K. Muthumanickam Jimmy Johansson Matthew Cooper

subject

Identification (information)InformationSystems_MODELSANDPRINCIPLES business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Eye tracking Computer vision Artificial intelligence business Hidden Markov model

description

Eye tracking is used to analyze and compare user behaviour within numerous domains, but long duration eye tracking experiments across multiple users generate millions of eye gaze samples, making th ...

year	journal	country	edition	language
2020-01-01	Proceedings of the Annual Hawaii International Conference on System Sciences

https://doi.org/10.24251/hicss.2020.167

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