We provide the parameters of the model linking colorfulness, visual complexity, and the first impressions of visual appeal. We also share the code for computing the features related to the visual appearance of web sites. See the following paper for more details:
Katharina Reinecke, Tom Yeh, Luke Miratrix, Yuechen Zhao, Mardiko Rahmatri, Jenny Liu, and Krzysztof Z. Gajos. Predicting Users' First Impressions of Website Aesthetics With a Quantification of Perceived Visual Complexity and Colorfulness. In Proceedings of CHI '13, 2013.
[Abstract, BibTeX, etc.]
Crowdsourcing Performance Evaluations of User Interfaces
We provide performance data collected in lab and on Mechanical Turk for our recreation of the following three experiments: Split Interface, Split Menus, and Bubble Cursor. All the data is contained in a single csv file.
We also outline our recommended experiment flow for online experiments in a single pdf file.
Steven Komarov, Katharina Reinecke, and Krzysztof Z. Gajos. Crowdsourcing Performance Evaluations of User Interfaces. In Proceedings of CHI '13, 2013.
[Abstract, BibTeX, etc.]
The parsed data set contains information about the Doodle
scheduling behavior of 211 countries, and covers all analyses in the
paper. Note that this data set was derived from raw Doodle date/time
polls selected at random from a time period in mid-2011 and an
additional time period in early 2012. See the following paper for more details:
Katharina Reinecke, Minh Khoa Nguyen, Abraham Bernstein, Michael Naf, and Krzysztof Z. Gajos. Doodle Around the World: Online Scheduling Behavior Reflects Cultural Differences in Time Perception and Group Decision-Making. In Proceedings of CSCW'13, New York, NY, USA, 2013. ACM.
[Abstract, BibTeX, etc.]
This classifier discriminates between deliberate, targeted pointing movements, and those movements that were affected by distraction, visual search, demanding cognitive task, or any other extraneous factor. See the following paper for more details:
Krzysztof Gajos, Katharina Reinecke, and Charles Herrmann. Accurate measurements of pointing performance from in situ observations. In Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems, CHI '12, pages 3157-3166, New York, NY, USA, 2012. ACM.
[Abstract, BibTeX, Authorizer, Data and Source Code, etc.]
This page was last modified on Friday, 26-Apr-2013 15:32:02 EDT.
