Assessing the Use of Physiological Signals and Facial Behaviour to Gauge Drivers’ Emotions as a UX Metric in Automotive User Studies

2020 ◽  
Author(s):  
Christine Spencer ◽  
Ibrahim Alper Koc ◽  
Chihiro Suga ◽  
Alexander Lee ◽  
Anupama Mahesh Dhareshwar ◽  
...  
Keyword(s):  
User Studies ◽  
Physiological Signals

Emotion Monitoring Using Remote Measurement for Physiological Signals by Camera

2016 ◽  
Vol 2016 (1) ◽  
pp. 147-151 ◽  
Author(s):  
Genki Okada ◽  
Taku Yonezawa ◽  
Kouki Kurita ◽  
Norimichi Tsumura
Keyword(s):  
Physiological Signals ◽  
Remote Measurement

ViFin

2021 ◽  
Vol 5 (1) ◽  
pp. 1-25
Author(s):  
Wenqiang Chen ◽  
Lin Chen ◽  
Meiyi Ma ◽  
Farshid Salemi Parizi ◽  
Shwetak Patel ◽  
...  
Keyword(s):  
Real Time ◽  
Real World ◽  
Wearable Devices ◽  
User Studies ◽  
Finger Movement ◽  
Writing System ◽  
Time System ◽  
Real Time System ◽  
Input Devices ◽  
A New Technique

Wearable devices, such as smartwatches and head-mounted devices (HMD), demand new input devices for a natural, subtle, and easy-to-use way to input commands and text. In this paper, we propose and investigate ViFin, a new technique for input commands and text entry, which harness finger movement induced vibration to track continuous micro finger-level writing with a commodity smartwatch. Inspired by the recurrent neural aligner and transfer learning, ViFin recognizes continuous finger writing, works across different users, and achieves an accuracy of 90% and 91% for recognizing numbers and letters, respectively. We quantify our approach's accuracy through real-time system experiments in different arm positions, writing speeds, and smartwatch position displacements. Finally, a real-time writing system and two user studies on real-world tasks are implemented and assessed.

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