Yonghao Long

Yonghao Long

Associate Professor in School of Art & Design

Publications

Journal Articles

PriLens: An AR-Based Privacy Visualization and Control Platform Design for Transparency Enhancing in Smart Home

Published in IEEE Internet of Things Journal, 2026

We developed PriLens, a unified platform that uses augmented reality (AR) to integrate digital privacy information directly with the physical environment.

Recommended citation: Yonghao Long; Mingyuan Zhang; Chen Hei; Xiapu Luo; Kun Pyo Lee et al. (2026). "PriLens: An AR-Based Privacy Visualization and Control Platform Design for Transparency Enhancing in Smart Home". IEEE Internet of Things Journal.
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AI Doctor for ASD: Physician Perceptions and Adoption Challenges in Autism Clinical Practice

Published in Proceedings of the ACM on Human-Computer Interaction, 2025

The rapid increase in the number of individuals with Autism Spectrum Disorder (ASD) has drawn extensive attention from both the general public and res…

Recommended citation: Yujie Zhu; Mingyuan Zhang; Cong Fang; Le Fang; Meichen Liu et al. (2025). "AI Doctor for ASD: Physician Perceptions and Adoption Challenges in Autism Clinical Practice". Proceedings of the ACM on Human-Computer Interaction.
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AI Doctor for ASD: Physician Perceptions and Adoption Challenges in Autism Clinical Practice

Published in Proceedings of the ACM on Human-Computer Interaction, 2025

The rapid increase in the number of individuals with Autism Spectrum Disorder (ASD) has drawn extensive attention from both the general public and res…

Recommended citation: Yujie Zhu; Mingyuan Zhang; Cong Fang; Le Fang; Meichen Liu et al. (2025). "AI Doctor for ASD: Physician Perceptions and Adoption Challenges in Autism Clinical Practice". Proceedings of the ACM on Human-Computer Interaction.
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GUI Test Repair Based on Test-Extension

Published in Conference/Journal, 2024

We propose a novel test repair method to find paths with similar functions based on the feature coverage, to get as close as possible to the test target point during the repairing process, and to improve the effectiveness of the test fixing

Recommended citation: Yonghao Long; Yuanyuan Chen; Xiangping Chen (2024). "GUI Test Repair Based on Test-Extension". Conference/Journal.
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Emo-MG Framework: LSTM-based Multi-modal Emotion Detection through Electroencephalography Signals and Micro Gestures

Published in International Journal of Human–Computer Interaction, 2024

This study assesses the efficacy of EEG and MG features in emotion detection by recruiting 15 participants to gather EEG and MG data in response to diverse figure-based emotional stimuli.

Recommended citation: Le Fang; Sark Pangrui Xing; Zhengtao Ma; Zhijie Zhang; Yonghao Long et al. (2024). "Emo-MG Framework: LSTM-based Multi-modal Emotion Detection through Electroencephalography Signals and Micro Gestures". International Journal of Human–Computer Interaction.
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Data Transparency Design in Internet of Things: A Systematic Review

Published in International Journal of Human–Computer Interaction, 2024

A systematic literature review of 58 academic articles is conducted to investigate the progress and status of existing data transparency studies from a design perspective.

Recommended citation: Yonghao Long; Xiapu Luo; Yujie Zhu; Kun Pyo Lee; Stephen Jia Wang (2024). "Data Transparency Design in Internet of Things: A Systematic Review". International Journal of Human–Computer Interaction.
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Emo-MG Framework: LSTM-based Multi-modal Emotion Detection through Electroencephalography Signals and Micro Gestures

Published in International Journal of Human–Computer Interaction, 2024

No abstract available….

Recommended citation: Le Fang; Sark Pangrui Xing; Zhengtao Ma; Zhijie Zhang; Yonghao Long et al. (2024). "Emo-MG Framework: LSTM-based Multi-modal Emotion Detection through Electroencephalography Signals and Micro Gestures". International Journal of Human–Computer Interaction.
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Digital Behavior Change Intervention Designs for Habit Formation: Systematic Review

Published in Journal of Medical Internet Research, 2024

Background With the development of emerging technologies, digital behavior change interventions (DBCIs) help to maintain regular physical activity in …

Recommended citation: Yujie Zhu; Yonghao Long; Hailiang Wang; Kun Pyo Lee; Lie Zhang et al. (2024). "Digital Behavior Change Intervention Designs for Habit Formation: Systematic Review". Journal of Medical Internet Research.
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Digital Behavior Change Intervention Designs for Habit Formation: Systematic Review

Published in Journal of Medical Internet Research, 2024

Background With the development of emerging technologies, digital behavior change interventions (DBCIs) help to maintain regular physical activity in …

Recommended citation: Yujie Zhu; Yonghao Long; Hailiang Wang; Kun Pyo Lee; Lie Zhang et al. (2024). "Digital Behavior Change Intervention Designs for Habit Formation: Systematic Review". Journal of Medical Internet Research.
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Developing cue-behavior association for habit formation: A qualitative study to explore the role of avatar in hypertension

Published in DIGITAL HEALTH, 2024

Background Electronic health (eHealth) has been widely adopted in chronic disease management. Prior studies focused on time-based reminders as a cue t…

Recommended citation: Yujie Zhu; Yonghao Long; Lai Wei; Yaqi Zhang; Zhengtao Ma et al. (2024). "Developing cue-behavior association for habit formation: A qualitative study to explore the role of avatar in hypertension". DIGITAL HEALTH.
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Developing cue-behavior association for habit formation: A qualitative study to explore the role of avatar in hypertension

Published in DIGITAL HEALTH, 2024

Background Electronic health (eHealth) has been widely adopted in chronic disease management. Prior studies focused on time-based reminders as a cue t…

Recommended citation: Yujie Zhu; Yonghao Long; Lai Wei; Yaqi Zhang; Zhengtao Ma et al. (2024). "Developing cue-behavior association for habit formation: A qualitative study to explore the role of avatar in hypertension". DIGITAL HEALTH.
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Robotic Systems in Heritage Protection: An Anti-Fatigue Human-Robot Collaboration Exploration for Heritage Painting and Calligraphy Restoration

Published in Conference/Journal, 2023

The heritage restoration of paintings and calligraphy is a labour-intensive process, characterised by repetitive, low-intensity, and high-precision. Two core steps, “lift up the previous” and “fix and maintain”, can lead to muscle fatigue in the upper limbs. In this paper, we develop a human-in-the-loop based human-robot collaboration system that provides real-time force feedback to restorers based on their muscle load and motion intention, with the support strength changing to relieve fatigue. Different robot-aided positions on human arm are explored and a two-point elbow-supporting mechanism is evaluated as the optimal solution. Moreover, a novel muscle load calculation model is developed to integrate human factors into the HRC system with electromyography. The results of a usability experiment show the effectiveness of the proposed method in addressing the current anti-fatigue challenge in heritage paintings and calligraphy restoration.

Recommended citation: Linyi Liu; Siqi Yang; Yixue Wang; Zhengtao Ma; Le Fang et al. (2023). "Robotic Systems in Heritage Protection: An Anti-Fatigue Human-Robot Collaboration Exploration for Heritage Painting and Calligraphy Restoration". Conference/Journal.
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EmoSense: Revealing True Emotions Through Microgestures

Published in Advanced Intelligent Systems, 2023

Stress is a universally ubiquitous emotional state that takes place everywhere and microgestures (MGs) have been verified to indicate more accurate hi…

Recommended citation: Le Fang; Sark Pangrui Xing; Yonghao Long; Kun-Pyo Lee; Stephen Jia Wang (2023). "EmoSense: Revealing True Emotions Through Microgestures". Advanced Intelligent Systems.
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EmoSense: Revealing True Emotions Through Microgestures

Published in Advanced Intelligent Systems, 2023

Stress is a universally ubiquitous emotional state that takes place everywhere and microgestures (MGs) have been verified to indicate more accurate hi…

Recommended citation: Le Fang; Sark Pangrui Xing; Yonghao Long; Kun-Pyo Lee; Stephen Jia Wang (2023). "EmoSense: Revealing True Emotions Through Microgestures". Advanced Intelligent Systems.
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Test-Driven Feature Extraction of Web Components

Published in Journal of Computer Science and Technology, 2022

A test-driven approach is proposed to extract the implementation of the desired features in web components.

Recommended citation: Y. Long, Y. Chen, X. Chen, X. Shi, and F. Zhou (2022). "Test-Driven Feature Extraction of Web Components". Journal of Computer Science and Technology.
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Example-based web page recoloring method

Published in Frontiers of Computer Science, 2020

An example-based web page recoloring method which reuses an example’s colors to recolor the user’s web page.

Recommended citation: Long, Y., Zang, Z., Chen, X., Zhou, F., & Luo, X. (2020). "Example-based web page recoloring method". Frontiers of Computer Science.
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AutoWPR: An Automatic Web Page Recoloring Method

Published in International Journal of Software Engineering and Knowledge Engineering, 2020

The color design is one of the important parts of GUI development. To gain an attractive color scheme, designers often seek inspiration from examples. However, transferring an example’s colors to a target web page is time-consuming and tedious. In this paper, we propose a method named AutoWPR to reuse the example web page’s colors for recoloring a web page. To preserve the semantic relations of web elements, we propose a clustering algorithm to group the related elements into a cluster. In order to make the recoloring result have similar color distributions to the example, we use the Random–Forest regression to learn human’s mappings and propose a top-down matching algorithm to generate a mapping between two web pages’ clusters. Then AutoWPR recolors the element with the matching element’s colors. We designed several experiments to evaluate the correctness of the clustering and matching algorithm. We also conducted some qualitative and quantitative experiments to evaluate the effectiveness of our results in helping recoloring. The results show that our method can generate a human-like recoloring result and help novice developers reuse the reference web page’s colors conveniently.

Recommended citation: Y. Long, X. Chen, and F. Zhou (2020). "AutoWPR: An Automatic Web Page Recoloring Method". International Journal of Software Engineering and Knowledge Engineering.
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A data-driven approach for recommending UI element layout

Published in Science China Information Sciences, 2020

We propose an approach to mine layout patterns and recommend the proper placement and size for UI layout implementation.

Recommended citation: Y. Long, X. Chen, X. Xie (2020). "A data-driven approach for recommending UI element layout". Science China Information Sciences.
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AutoWPR: An Automatic Web Page Recoloring Method

Published in International Journal of Software Engineering and Knowledge Engineering, 2020

No abstract available….

Recommended citation: Unknown Author (2020). "AutoWPR: An Automatic Web Page Recoloring Method". International Journal of Software Engineering and Knowledge Engineering.
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Online Educational Resources Classification Using Visual Features

Published in 2018 7th International Conference on Digital Home (ICDH), 2018

With the promotion of the Internet, people can easily retrieve various kinds of education resources on the web. However, current education resources sharing platforms do not support the resources retrieval through the visual information. Therefore, we need to classify the resources which are related to visual characteristics into several categories. In this paper, we propose a novel classification method for resources on Netpad[ http://www.netpad.net.cn/]. We extract the important visual features including graphics features and text features. Then, we use the random forest algorithm to train a valuable model. The results of the experiments indicate that, using graphics features and text features, most of the data are classified correctly, which means that our proposed method can solve the classification problem of Netpad effectively.

Recommended citation: X. Chen, Y. Chen, Y. Long, Y. Rao, H. Guan and M. Lin(2018). "Online Educational Resources Classification Using Visual Features". 2018 7th International Conference on Digital Home (ICDH).
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Automaticly Generating Web Page From A Mockup.

Published in SEKE, 2016

UI is an important part of software product. Considering the complexity of web UI, generating the web page from a mockup proposes requirements for rich experience of developer. Extracting visible elements and their relationship, selecting proper tags, generating source code are time-consuming and error-prone task. In this paper, we propose a method to automate the transforming of the mockup to the web page. Our approach starts from the mockup designed by the art designers, and extracts the elements based on the color features of the edges. Then a bottom-up tag generating method based on the Random Forest is proposed to select the tags for elements. Finally the web page is generated by the definition of the elements. The generating tags can achieve an average accuracy of more than 84%, which can meet the basic requirements of the developers.

Recommended citation: R. Huang, Y. Long, and X. Chen (2016). "Automaticly Generating Web Page From A Mockup.". SEKE.
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Automatic color modification for web page based on partitional color transfer

Published in International Conference on Software Reuse, 2015

Designing or modifying the color of a website is a time-consuming and difficult task for most software engineers. The idea of this paper is inspired by the color transfer methods proposed for automatically alter an image’s color during image processing. The color of a web page can be modified by reusing color characteristic of a reference page. However, a web page cannot be simply viewed as an image because it has structure and constraints for color modifying. In this paper, we propose an approach for automatic color modification of web page based on partitional color transfer. Our approach starts from the clustering of visible UI elements for page partition. And then, elements in the source page are color transferred with their matched elements in the reference page. Our approach automatically modifies the color of web pages based on the color transfer result. We generate 72 modified web pages to evaluate the page structure preserving and color characteristic transformation result of our approach.

Recommended citation: Xiangping Chen, Yonghao Long & Xiaonan Luo. "Automatic color modification for web page based on partitional color transfer". International Conference on Software Reuse.
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