Linghao Du

dblp:274/9210 · DBLP profile ↗
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6ranked-venue papers
0as first author
4since 2021 · last 2024
0000-0002-1454-9753ORCID · corroborated

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

Human-computer interaction and ubiquitous computing · 3 · 3 since 2021Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

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
3 papers
Interaction techniques and input · 70% Collaborative and social computing · 18% Haptics and multimodal interaction · 12%
Artificial intelligence
1 paper
Motion planning and robot control · 100%

Topics — the 7 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interaction techniques and input › mobile interaction › wearable device interaction
smartwatch interaction
0.812024
EmoWear: Exploring Emotional Teasers for Voice Message Interaction on Smartwatches · CHI 2024
Interaction techniques and input
text entry
0.712023
T-Force: Exploring the Use of Typing Force for Three State Virtual Keyboards · CHI 2023
Interaction techniques and input › text entry
virtual keyboard
0.712023
T-Force: Exploring the Use of Typing Force for Three State Virtual Keyboards · CHI 2023
Robotics › Motion planning and robot control › robot calibration
hand-eye calibration
0.412020
Automated Eye-in-Hand Robot-3D Scanner Calibration for Low Stitching Errors · ICRA 2020
Robotics › Motion planning and robot control
robot calibration
0.412020
Automated Eye-in-Hand Robot-3D Scanner Calibration for Low Stitching Errors · ICRA 2020
Interaction techniques and input › input device
keyboard design
0.212023
T-Force: Exploring the Use of Typing Force for Three State Virtual Keyboards · CHI 2023
Haptics and multimodal interaction › haptic feedback
vibrotactile feedback
0.212022
VibEmoji: Exploring User-authoring Multi-modal Emoticons in Social Communication · CHI 2022

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

semantic processing · 0.8acoustic processing · 0.8user study · 0.7threshold function design · 0.7recommendation · 0.6field study · 0.6trajectory-based transformation · 0.4nonlinear optimization · 0.4denavit-hartenberg parameters · 0.4
YearPublicationVenuePosition
2024 EmoWear: Exploring Emotional Teasers for Voice Message Interaction on Smartwatches
abstract
Voice messages, by nature, prevent users from gauging the emotional tone without fully diving into the audio content. This hinders the shared emotional experience at the pre-retrieval stage. Research scarcely explored “Emotional Teasers”—pre-retrieval cues offering a glimpse into an awaiting message’s emotional tone without disclosing its content. We introduce EmoWear, a smartwatch voice messaging system enabling users to apply 30 animation teasers on message bubbles to reflect emotions. EmoWear eases senders’ choice by prioritizing emotions based on semantic and acoustic processing. EmoWear was evaluated in comparison with a mirroring system using color-coded message bubbles as emotional cues (N=24). Results showed EmoWear significantly enhanced emotional communication experience in both receiving and sending messages. The animated teasers were considered intuitive and valued for diverse expressions. Desirable interaction qualities and practical implications are distilled for future design. We thereby contribute both a novel system and empirical knowledge concerning emotional teasers for voice messaging.
Pengcheng An, Jiawen Stefanie Zhu, Yifei Yin, Qingyuan Ma, Che Yan, Linghao Du, Jian Zhao 0010
CHI7
2023 T-Force: Exploring the Use of Typing Force for Three State Virtual Keyboards
abstract
Three state virtual keyboards which differentiate contact events between released, touched, and pressed states have the potential to improve overall typing experience and reduce the gap between virtual keyboards and physical keyboards. Incorporating force sensitivity, three-state virtual keyboards can utilize a force threshold to better classify a contact event. However, our limited knowledge of how force plays a role during typing on virtual keyboards limits further progress. Through a series of studies we observe that using a uniform threshold is not an optimal approach. Furthermore, the force being applied while typing varies significantly across the keys and among participants. As such, we propose three different approaches to further improve the uniform threshold. We show that a carefully selected non-uniform threshold function could be sufficient in delineating typing events on a three-state keyboard. Finally, we conclude our work with lessons learned, suggestion for future improvements, and comparisons with current methods available.
Shariff A. M. Faleel, Yishuo Liu, Roya Allison Cody, Bradley Rey, Linghao Du, Jiangyue Yu, Da-Yuan Huang, Pourang Irani, Wei Li 0002
CHI5
2023 An SEM-Based Nanomanipulation System for Multiphysical Characterization of Single InGaN/GaN Nanowires
abstract
Nanomaterials possess superior mechanical, electrical, and optical properties suitable for device applications in different fields such as nanoelectronics, photonics, and sensors. Characterizing the multiphysical properties of single nanomaterials and nanostructures provides experimental guidelines for synthesis and device applications of functional nanomaterials. Nanomanipulation techniques under scanning electron microscopy (SEM) have enabled the testing of mechanical and electrical properties of various nanomaterials. However, the introduction of micro-photoluminescence ($\mu $-PL) measurement into an SEM setup for in-situ single nanomaterial characterization is still experimentally challenging; in particular, the seamless integration of the mechanical, electrical, and$\mu $-PL testing techniques inside an SEM for multi-field-coupled characterization of single nanostructures is still unexplored. In this work, we report the first SEM-based nanomanipulation system for multiphysical characterization of single nanomaterials. A custom-made, optical-microfiber-based$\mu $-PL setup is integrated onto a nanomanipulation system with four nanomanipulators inside an SEM. The system is also equipped with a conductive nanoprobe and a conductive atomic force microscopy (AFM) probe for electrical nanoprobing and electroluminescence (EL) measurement of single nanomaterials with contact force feedback. Using the system, field-coupled characterization (i.e., optomechanical, optoelectronic, electromechanical, and mechano-optoelectronic testing) of single InGaN/GaN nanowires (NWs) are conducted; and, for the first time, the effect of mechanical compression applied to individual InGaN/GaN NWs on its optoelectronic property is revealed. Note to Practitioners—With the rapid advances of nanophotonics and nanoelectronics, the optical and optoelectronic characterization of semiconductive nanomaterials becomes widely used for guiding the material synthesis and improving the nanodevice performance. However, few studies on optical-relevant characterization were carried out in SEM, mainly due to the limited space of an SEM chamber, making it challenging to integrate optical components for effective optical excitation and luminescence measurement. To address this issue, space-saving optical microfibers were integrated into the SEM chamber for in-situ optoelectronic characterization of semiconductor NWs, along with the seamless integration of mechanical and electrical nanoprobing tools for electromechanical characterization. The developed nanomanipulation system will greatly facilitate the multiphysical testing of semiconductor nanomaterials, and thus expedite their synthesis optimization processes and broaden their optoelectronic device applications.
Juntian Qu, Linghao Du, Zetian Mi, Yu Sun 0001, Xinyu Liu 0002
IEEE Trans Autom. Sci. Eng.4
2022 VibEmoji: Exploring User-authoring Multi-modal Emoticons in Social Communication
abstract
Emoticons are indispensable in online communications. With users’ growing needs for more customized and expressive emoticons, recent messaging applications begin to support (limited) multi-modal emoticons:, enhancing emoticons with animations or vibrotactile feedback. However, little empirical knowledge has been accumulated concerning how people create, share and experience multi-modal emoticons in everyday communication, and how to better support them through design. To tackle this, we developed VibEmoji, a user-authoring multi-modal emoticon interface for mobile messaging. Extending existing designs, VibEmoji grants users greater flexibility to combine various emoticons, vibrations, and animations on-the-fly, and offers non-aggressive recommendations based on these components’ emotional relevance. Using VibEmoji as a probe, we conducted a four-week field study with 20 participants, to gain new understandings from in-the-wild usage and experience, and extract implications for design. We thereby contribute to both a novel system and various insights for supporting users’ creation and communication of multi-modal emoticons.
Pengcheng An, Ziqi Zhou 0003, Qing Liu 0026, Yifei Yin, Linghao Du, Da-Yuan Huang, Jian Zhao 0010
CHI5
2020 Automated Eye-in-Hand Robot-3D Scanner Calibration for Low Stitching Errors
abstract
A 3D measurement system consisting of a 3D scanner and an industrial robot (eye-in-hand) is commonly used to scan large object under test (OUT) from multiple fieldof-views (FOVs) for complete measurement. A data stitching process is required to align multiple FOVs into a single coordinate system. Marker-free stitching assisted by robot’s accurate positioning becomes increasingly attractive since it bypasses the cumbersome traditional fiducial marker-based method. Most existing methods directly use initial Denavit-Hartenberg (DH) parameters and hand-eye calibration to calculate the transformations between multiple FOVs. Since accuracy of DH parameters deteriorates over time, such methods suffer from high stitching errors (e.g., 0.2 mm) in long-term routine industrial use. This paper reports a new robot-scanner calibration approach to realize such measurement with low data stitching errors. During long-term continuous measurement, the robot periodically moves towards a 2D standard calibration board to optimize kinematic model’s parameters to maintain a low stitching error. This capability is enabled by several techniques including virtual arm-based robot-scanner kinematic model, trajectory-based robot-world transformation calculation, nonlinear optimization. Experimental results demonstrated a low data stitching error (< 0.1 mm) similar to the cumbersome marker-based method and a lower system downtime (< 60 seconds vs. 10-15 minutes by traditional DH and hand-eye calibration).
Harikrishnan Madhusudanan, Xingjian Liu, Wenyuan Chen, Dahai Li, Linghao Du, Ji Ge, Yu Sun 0001
ICRA5
2020 An SEM-Based Nanomanipulation System for Multi-Physical Characterization of Single InGaN/GaN Nanowires
abstract
Functional nanomaterials possess exceptional multi-physical (e.g., mechanical, electrical and optical) properties compared with their bulk counterparts. To facilitate both synthesis and device applications of these nanomaterials, it is highly desired to characterize their multi-physical properties with high accuracy and efficiency. The nanomanipulation techniques under scanning electron microscopy (SEM) has enabled the testing of mechanical and electrical properties of various nanomaterials. However, the seamless integration of mechanical, electrical, and optical testing techniques into an SEM for triple-field-coupled characterization of single nanostructures is still unexplored. In this work, we report the first SEM-based nanomanipulation system for high-resolution mechano-optoelectronic testing of single semiconductor InGaN/GaN nanowires (NWs). A custom-made optical measurement setup was integrated onto a four-probe nanomanipulator inside an SEM, with two optical microfibers actuated by the nanomanipulator for NW excitation and emission measurement. A conductive tungsten nanoprobe and a conductive atomic force microscopy (AFM) cantilever probe were integrated onto the nanomanipulator for electrical nanoprobing of single NWs for electroluminescence (EL) measurement. The AFM probe also served as a force sensor for quantifying the contact force applied to the NW during nanoprobing. Using this unique system, we examined, for the first time, the effect of mechanical compression applied to an InGaN/GaN NW on its optoelectronic properties.
Juntian Qu, Linghao Du, Zetian Mi, Yu Sun 0001, Xinyu Liu 0002
IROS4