{'fraction_non_alphanumeric': 0.013960909453530115, 'fraction_numerical': 0.004786597526924611, 'mean_word_length': 5.254364089775561, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Special Issue ASSETS 2011

TACCESS has published a number of special issues, and we anticipate additional special issues in the future highlighting areas of high interest and emerging themes. In an effort to expedite the publication of articles submitted to special issues, we will be experimenting with a new process. Beginning with this issue, we will be publishing articles submitted to special issues as quickly as possible following their acceptance with each article being preceded by a brief introduction. These introductions will highlight the special issue process that is being used, emphasizing our commitment to moving articles through the entire production process as quickly as possible. The introductions will also highlight the special issue to which a manuscript was submitted. Of course, a side-effect of this approach is that several articles submitted to the same special issue are likely to appear in different issues of the journal. This article was submitted to a special issue being edited by Yeliz Yesilada based on papers which first appeared in the Proceedings of ASSETS 2011. For this issue, authors of highly rated papers from ASSETS 2011 were invited to submit proposals outlining how they would expand upon their existing publication, providing new data or additional analysis and insights based on the data originally presented in their ASSETS publications. After a thorough review, a subset of these proposals were accepted and the authors were invited to submit the expanded manuscripts. These manuscripts were then subjected to the full review process that is used for all submissions to the journal, with a subset of these manuscripts ultimately being accepted for publication. The first article in this special issue, by Flatla and Gutwin, proposes a new approach to modeling a user’s color differentiation abilities called Situation-Specific Modeling (SSM). SSM uses empirical evidence from in-situ tests to determine exactly what colors a particular user can differentiate in a particular situation. This article presents four models built using the SSM approach, and their evaluations. The first model is the individualized model of color differentiation, the second model includes an improved calibration procedure for the approach, the third model includes an approach that reduces the time needed to make predictions about color differentiability, and the last model proposes a new prediction method that can indicate the degree of differentiability of two colors.