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Chao-Huai Su

dblp:14/10300 · DBLP profile ↗
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4ranked-venue papers
1as first author
0since 2021 · last 2013
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 4 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
4 papers
Interaction techniques and input · 57% Wearable and physiological sensing · 31% Haptics and multimodal interaction · 12%

Topics — the 5 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interaction techniques and input › touch interaction
finger interaction
0.222013
FingerPad: private and subtle interaction using fingertips · UIST 2013
NailDisplay: bringing an always available visual display to fingertips · CHI 2013
Interaction techniques and input › non-visual interaction
eyes-free interaction
0.222013
Pub - point upon body: exploring eyes-free interaction and methods on an arm · UIST 2011
FingerPad: private and subtle interaction using fingertips · UIST 2013
Wearable and physiological sensing
magnetic sensing
0.112012
GaussSense: attachable stylus sensing using magnetic sensor grid · UIST 2012
Interaction techniques and input
pen input
0.112012
GaussSense: attachable stylus sensing using magnetic sensor grid · UIST 2012
Haptics and multimodal interaction
haptic feedback
0.112011
Pub - point upon body: exploring eyes-free interaction and methods on an arm · UIST 2011

Methods — techniques the papers use, named apart from their topics

user study · 0.2magnetic tracking · 0.2explorative user study · 0.2magnetic field analysis · 0.1hall-sensor grid · 0.1ultrasonic sensing · 0.1
YearPublicationVenuePosition
2013 NailDisplay: bringing an always available visual display to fingertips
abstract
This work presents a novel and always-available nail mounted display known as NailDisplay. The proposed display augments the use of a finger by allowing for always-available visual feedback owing to its fast accessibility and binding user controls with the display, i.e. what you control is what you see (through the display). Potential benefits of NailDisplay are demonstrated in three applications: from displaying to combining it with user controls. In the first application, NailDisplay can reveal what is occluded under a finger touch, making it a solution to operate small UI elements. In the second application, NailDisplay is complementary to an imaginary interface, helping users to learn an imaginary interface (e.g., on the users' arms) and allowing them to reassure the interface when their memory of it becomes unclear. In the third application, NailDisplay is integrated with rich finger interactions, such as swiping in the air. We also report users' feedbacks gathered from an explorative user study.
Chao-Huai Su, Li-Wei Chan 0001, Chien-Ting Weng, Rong-Hao Liang, Kai-Yin Cheng, Bing-Yu Chen 0004
CHI1
2013 FingerPad: private and subtle interaction using fingertips
abstract
We present FingerPad, a nail-mounted device that turns the tip of the index finger into a touchpad, allowing private and subtle interaction while on the move. FingerPad enables touch input using magnetic tracking, by adding a Hall sensor grid on the index fingernail, and a magnet on the thumbnail. Since it permits input through the pinch gesture, FingerPad is suitable for private use because the movements of the fingers in a pinch are subtle and are naturally hidden by the hand. Functionally, FingerPad resembles a touchpad, and also allows for eyes-free use. Additionally, since the necessary devices are attached to the nails, FingerPad preserves natural haptic feedback without affecting the native function of the fingertips. Through user study, we analyze the three design factors, namely posture, commitment method and target size, to assess the design of the FingerPad. Though the results show some trade-off among the factors, generally participants achieve 93% accuracy for very small targets (1.2mm-width) in the seated condition, and 92% accuracy for 2.5mm-width targets in the walking condition.
Li-Wei Chan 0001, Rong-Hao Liang, Ming-Chang Tsai, Kai-Yin Cheng, Chao-Huai Su, Mike Y. Chen, Wen-Huang Cheng, Bing-Yu Chen 0004
UIST5
2012 GaussSense: attachable stylus sensing using magnetic sensor grid
abstract
This work presents GaussSense, which is a back-of-device sensing technique for enabling input on an arbitrary surface using stylus by exploiting magnetism. A 2mm-thick Hall sensor grid is developed to sense magnets that are embedded in the stylus. Our system can sense the magnetic field that is emitted from the stylus when it is within 2cm of any non-ferromagnetic surface. Attaching the sensor behind an arbitrary thin surface enables the stylus input to be recognized by analyzing the distribution of the applied magnetic field. Attaching the sensor grid to the back of a touchscreen device and incorporating magnets into the corresponding stylus enable the system 1) to distinguish touch events that are caused by a finger from those caused by the stylus, 2) to sense the tilt angle of the stylus and the pressure with which it is applied, and 3) to detect where the stylus hovers over the screen. A pilot study reveals that people were satisfied with the novel sketching experiences based on this system.
Rong-Hao Liang, Kai-Yin Cheng, Chao-Huai Su, Chien-Ting Weng, Bing-Yu Chen 0004, De-Nian Yang
UIST3
2011 Pub - point upon body: exploring eyes-free interaction and methods on an arm
abstract
This paper presents a novel interaction system, PUB (Point Upon Body), to explore eyes-free interaction in a personal space by allowing users tapping on their own arms to be provided with haptic feedback from their skin. Two user studies determine how users can interact precisely with their forearms and how users behave when operating in their arm space. According to those results, normal users can divide their arm space at most into 6 points between their wrists and elbows with iterative practice. Experimental results also indicate that the divided pattern of each user is unique from that of other ones. Based on the design principles from the observations, an interaction system, PUB, is designed to demonstrate how interaction design benefits from those findings. Two scenarios, remote display control and mobile device control, are demonstrated through the UltraSonic device attached on the users' wrists to detect their tapped positions.
Shu-Yang Lin, Chao-Huai Su, Kai-Yin Cheng, Rong-Hao Liang, Tzu-Hao Kuo, Bing-Yu Chen 0004
UIST2