An interactive visualization dashboard to support exploratory data analysis of our TCO dataset, implemented in JavaScript using D3.js. It contains three tabs: (1) Basic Analysis: Supports general dataset exploration through six interactive views, with idioms such as bar charts, scatterplots, and Sankey diagrams. (2) Advanced Analysis: Supports cross-dimensional analysis, through a cross-tabulation heatmap (for comparing nominal dimensions), a box plot (ordinal vs. nominal dimensions), and a correlation plot (ordinal dimensions).
Tools
MacaronMix is an online, open-source tool for morphing haptic signals. Designers, researchers, and hapticians can use this tool to create and study haptic icons, and to develop new morphing algorithms. Link: http://hapticdesign.github.io/macaronmix/
Macaron is a free, open-source, online haptic editor that features an example based approach in further developing a haptic design. http://hapticdesign.github.io/macaron/
An online example of how to organize and find particular tactile signals for customization needs. Try it out at:http://www.cs.ubc.ca/~seifi/VibViz/main.html
Hardware
A DIY amplifier to drive vibration feedback from your laptop. Check it out at: http://www.instructables.com/id/MacaronKit-USB-Powered-Mono-Audio-Amplifier/
A low-cost rotary haptic interface that runs on the arduino platform. Check it out at https://github.com/ubcspin/Twiddlerino.
Datasets and Visualizations
The TCO dataset (n=132) captures real-world touchable comfort object practices across a diverse adult sample. It combines quantitative ratings across a rich, multidimensional design space (e.g., object characteristics, use contexts, meanings, and attachment) with qualitative reflections describing how and why objects are used for emotion regulation. The dataset supports exploratory analysis, user profiling, and design reasoning around affective touch, everyday comfort practices, and the integration of haptics into personal objects.
A multimodal tactile dataset of affective touch gestures captured with a 3‑axis force sensor array. Sixteen participants performed 9 affective touch gestures (circular stroke, constant touch, heavy pat, back & forth rub, poke, isometric rub, tickle, twist, wide pinch) on a shear‑force sensor pad with 11×11 taxels at 43 Hz, yielding 7,315 usable trials (~51 trials per gesture per participant, ~2 seconds each). Includes data from two extra participants (1 male, 1 female) that the published study discarded due to sensor wear.
We present our FEEL (Force, EEG and Emotion-Labelled) dataset, a collection of brain activity, keypress force data, labeled with self-reported emotion during tense videogame play (N=16); open-sourced for community exploration and available for download here.
This dataset is a collection of 110 coded papers from the last decade on the topic of Affective Haptic Systems Design (AHSD)
Haptipedia is a comprehensive library of haptic devices annotated with designer-relevant metadata, then accessed through an interactive visualization to assist designers in finding relevant design examples.
Social touch gestures performed on a variety of different substrate combinations and collected using a custom-DIY fabric sensor. Originally made available as part of the ICMI '15 Grand Challenge and currently published at http://www.cs.ubc.ca/labs/spin/data/
This repository contains all 120 vibrations for the VibViz library including their (.wav) files, their aggregated ratings and tags, and the MDS dimensions for the Sensation, Emotion, Metaphor, and Usage Facets. Check it out at: https://github.com/hastiseifi/VibViz-Dataset
Dataset pertaining to an algorithm for accurate real-time cadence estimation using accelerometers found in common smartphones. Available at: http://www.cs.ubc.ca/labs/spin/data/