See also: Chen, M. C., Anderson, J. R., & Sohn, M. H. (2001, March). What can a mouse cursor tell us more?: correlation of eye/mouse movements on web browsing. In CHI'01 extended abstracts on Human factors in computing systems (pp. 281-282). ACM.   (I can provide the PDF on request -- too big to attach)

Kim, N. W., Bylinskii, Z., Borkin, M. A., Gajos, K. Z., Oliva, A., Durand, F., & Pfister, H. (2017). BubbleView: an interface for crowdsourcing image importance maps and tracking visual attention. ACM Transactions on Computer-Human Interaction (TOCHI), 24(5), 36. https://arxiv.org/pdf/1702.05150 

I don't know how readily available mouse-based attention tracking solutions are.  But from the literature, it seems like there are good options for understanding attention through purely software means. 

-Aaron

 

On Fri, Nov 9, 2018 at 11:24 AM Tilman Bayer <tbayer@wikimedia.org> wrote:

Nice! Added a link at https://meta.wikimedia.org/wiki/Research:Which_parts_of_an_article_do_readers_read#Eyetracking

On Fri, Nov 9, 2018 at 3:38 AM, Gilles Dubuc <gilles@wikimedia.org> wrote:

I've just discovered and received today an amazing piece of hardware that a lot of you might find useful. It's called the Tobii Eye Tracker 4C, which can be used with the Tobii Pro Sprint hosted service.

I've recorded a video demo of it here: https://www.mediawiki.org/wiki/File:Tobii_Eye_Tracker_4C_demo.webm

This could allow us to do lab user testing where we record gaze cheaply and very easily.

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Tilman Bayer
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Wikimedia Foundation
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