TY - JOUR
T1 - ScraTouch
T2 - Extending Interaction Technique Using Fingernail on Unmodified Capacitive Touch Surfaces
AU - Ikematsu, Kaori
AU - Yamanaka, Shota
N1 - Publisher Copyright:
© 2020 ACM.
PY - 2020/9/4
Y1 - 2020/9/4
N2 - We present ScraTouch, an interaction technique using fingernails, as a new input modality by leveraging capacitive touch sensing. Differentiating between fingertip and fingernail touches requires only tens of milliseconds worth of shunt current data from unmodified capacitive touch surfaces, thus requires no hardware modification. ScraTouch is simple but practical technique for command invocation and mode switching. An evaluation using a point-and-select task on a touchpad showed that although the switching between the finger and nail in ScraTouch required a little more time compared with the baseline (finger touching without mode switching), in overall the operations, ScraTouch was just as fast as the baseline, and on average, 29 % faster than a long press with 500-ms threshold. We also confirmed that setting a simple threshold on the measured shunt current for recognition works robustly across users (97 % accuracy).
AB - We present ScraTouch, an interaction technique using fingernails, as a new input modality by leveraging capacitive touch sensing. Differentiating between fingertip and fingernail touches requires only tens of milliseconds worth of shunt current data from unmodified capacitive touch surfaces, thus requires no hardware modification. ScraTouch is simple but practical technique for command invocation and mode switching. An evaluation using a point-and-select task on a touchpad showed that although the switching between the finger and nail in ScraTouch required a little more time compared with the baseline (finger touching without mode switching), in overall the operations, ScraTouch was just as fast as the baseline, and on average, 29 % faster than a long press with 500-ms threshold. We also confirmed that setting a simple threshold on the measured shunt current for recognition works robustly across users (97 % accuracy).
KW - Capacitive Touch Surface
KW - Fingernail
KW - Mobile Computing
KW - Touch Interaction
UR - http://www.scopus.com/inward/record.url?scp=85092432633&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85092432633&partnerID=8YFLogxK
U2 - 10.1145/3411831
DO - 10.1145/3411831
M3 - Article
AN - SCOPUS:85092432633
SN - 2474-9567
VL - 4
JO - Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
JF - Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
IS - 3
M1 - 81
ER -