Publications

Expanding Side Touch Input on Mobile Phones: Finger Reachability and Two-Dimensional Taps and Flicks using the Index and Thumb, ISS 2020
Yen-Ting Yeh, Quentin Roy, Antony Albert Raj Irudayaraj, Daniel Vogel

The edge of the phone can be used triggering touch input. An initial experiment studied the reachability of their fingers to different areas on the phone. Then, we ran two separate experiment to evaluate tapping performance and flicking gestures along the edge of phone performed using the thumb and index finger.

Haptic Learning of Freehand Semaphoric Gestures, UIST 2016
Aakar Gupta, Antony Irudayaraj,Vimal Chandran, Goutham Palaniappan, Khai Troung, Ravin Balakrishnan

We studied on using haptic-based learning to teach semaphoric finger gestures. We attached vibration motor on the users finger. Different patterns were generated on the finger to correpond to a finger gesture. We conducted a two day study to test the recall rate of gesture learning using haptics and compared it with visual+haptic and audio methods.

PocketView: Through-Fabric Information Displays, UIST 2021
Antony Albert Raj Irudayaraj,Rishav Agarwal,Nikhita Joshi, Aakar Gupta, Omid Abari, Daniel Vogel

It is sometimes inconvenient to view information from your phone when it is stored away in a pocket or bag. This retrieval process can be cumbersome when holding a shopping bag and potentially dangerous while biking. So, we explore the idea of directly viewing information through the fabric of a pocket using low-resolution bright LED matrix displays.

Hapticclench: Squeezing sensations using shape memory alloys, UIST 2019
Aakar Gupta, Antony Albert Raj Irudayaraj, Ravin Balakrishnan

Vibrotactile feedback is the most common type of haptic feedback and commonly used in mobile and wearable devices. We investigated using shape memory to generate squeeze sensation on the wrist and finger. SMA's contract its length when heat or current supplied to it to generates the squeeze sensations.