Software

My students and I develop software as part of our research, and some of it exists as reusable tools, libraries, or end-user applications. The following tools are posted as-is free of charge, without warranty or guarantee of any kind. To the best of our knowledge, everything here is bug-free... but you know how that goes. Please let me know if you find something useful.

Understanding Research

• Catchy Titles Are Good: But Avoid Being Cute: advice on structuring research papers for the HCI community. [pdf]
• Research Contributions in HCI: for understanding research contributions in HCI. [pdf]

Toolkits

• ABD-MT: the ability-based design mobile toolkit for building Android apps adaptive to users' abilities. [pdf] [pdf] [git] [acm dl]

Statistics

• Coursera: Designing, Running, & Analyzing Experiments: online course for learning inferential statistics in R.
• #Rstats: Statistical Inference in R: R code recipes for inferential statistical analyses of experiments and surveys. [pdf] [git]
• ps4hci: Practical Statistics for HCI: independent study modules and data sets for learning statistics and statistical tools. [pdf]
• ARTool: for conducting nonparametric factorial analyses using only ANOVA procedures. [pdf] [pdf] [R] [git]
• multpois: for analyzing polytomous responses using the multinomial-Poisson trick. [R] [git]

Crowdsourcing end-user elicitation

• Crowdlicit: for running end-user elicitation studies with the crowd. [pdf]
• Crowdsensus: for analyzing end-user elicitation studies using the crowd. [pdf]

Gesture recognition

• $1 unistroke recognizer: for recognizing unistroke gestures (JavaScript, C#, Python, Java, and other versions available). [pdf]
• $N multistroke recognizer: for recognizing multistroke gestures (JavaScript and C# versions available). [pdf]
• $P point-cloud recognizer: for recognizing unistroke or multistroke gestures (JavaScript and C# versions available). [pdf]
• $Q super-quick recognizer: for recognizing unistroke or multistroke gestures (JavaScript and C# versions available). [pdf]

Gesture analysis tools

• Gesture Clustering Toolkit (GECKo): for clustering stroke gestures based on how they are articulated. [pdf]
• Gesture Relative Accuracy Toolkit (GREAT): for calculating what happens during stroke gesture articulation. [pdf]
• Gesture HeatmapS Toolkit (GHoST): for visualizing what happens during stroke gesture articulation. [pdf]
• AGreement Analysis Toolkit (AGATe): for calculating agreement among gestures proposed with the end-user elicitation method. [pdf]

Input evaluation

• TextTest: for conducting and analyzing rigorous studies of text entry performance. [pdf]
• TextTest++: web-based version of TextTest with advanced metrics and fewer constraints. [pdf]
• FittsStudy: for performing and analyzing studies of human pointing performance. [pdf]
• Input Observer: for unobtrusively measuring text entry and mouse pointing performance "in the wild." [pdf]

Mouse pointing

• Pointing Magnifier 3: for improving pointing accuracy for people with limited fine motor function. [pdf]
• Angle Mouse: for improving the efficiency and ease of mouse pointing for people with motor impairments. [pdf]
• Bubble Lens: the fastest known general purpose pointing technique. [pdf]
• Endpoint Prediction: for continuously predicting endpoints during pointing movements. [pdf]

Text entry

• EdgeWrite: for entering text using any number of devices or platforms. [pdf]
• EdgeWrite DLL: for developing custom text entry methods using the EdgeWrite system.

General programming

• WobbrockLib: my C# .NET 4.8.1 library of application-agnostic formulae, widgets, data structures, and algorithms (v. 5.1.6).
• PolledDevices: my C# .NET 2.0 library that makes it easy to acquire and process mice, keyboards, and joysticks (v. 3.0.2).
• Cleanroom: a JavaScript editor that uses intelligent edit-time highlighting to prevent bugs. [pdf]