Jun Hu

Dr. Jun Hu

Department of Industrial Design, Eindhoven University of Technology, The Netherlands
orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2015 in Computers & Education
Verified
Journal Article
Closed access
MCMaira B. Carvalho
Maira B. Carvalho
FBFrancesco Bellotti
Francesco Bellotti
Riccardo BertaRiccardo Berta
Riccardo Berta
AGAlessandro De Gloria
Alessandro De Gloria
CSCarolina Islas Sedano
Carolina Islas Sedano
MRMatthias Rauterberg
Matthias Rauterberg

7 September 2018 in Frontiers in ICT
Verified
Journal Article
Open access
BYBin Yu
Bin Yu
MFMathias Funk
Mathias Funk
JHJun Hu
Jun Hu
QWQi Wang
Qi Wang
LFLoe Feijs
Loe Feijs
Background Mainly due to an increase in stress-related health problems and driven by recent technological advances in biosensors, microelectronics, computing platform, and human-computer interaction, ubiquitous physiological information will potentially transform the role of biofeedback in clinical treatment. Such technology is also likely to provide a useful tool for stress management in everyday life. The aim of this systematic review is to: 1) Classify biofeedback systems for stress management, with a special focus on biosensing techniques, bio-data computing approaches, biofeedback protocol, and feedback modality. 2) Review ways of evaluating approaches to biofeedback applications in terms of their effectiveness in stress management. Method A systematic literature search was conducted using keywords for “Biofeedback” and “Stress” within the following databases: PubMed, IEEE Xplore, ACM, and Scopus. Two independent reviewers were involved in selecting articles. Results We identified 103 studies published between 1990 and 2016, 46 of which met our inclusion criteria and were further analyzed. Based on the evidence reviewed, HRV, multimodal biofeedback, RSP, HR, and GSR appear to be the most common techniques for alleviating stress. Traditional screen-based visual displays remain the most common devices used for biofeedback display. Biofeedback applications are usually assessed by making both physiological and psychological measurements. Conclusions This review reveals several challenges related to biofeedback for everyday stress management, such as the facilitating user’s perception and interpretating the biofeedback information, the demand of ubiquitous biosensing and display technologies, and field evaluation in order to understand the use of biofeedback in everyday environments. We expect that various emerging HCI technologies could be used to address these challenges. New interaction designs as well as biofeedback paradigms can be further explored in order to for improve the accessibility, usability, comfort, engagement with, and user experience of biofeedback in everyday use.

23 May 2018 in Personal and Ubiquitous Computing
Verified
Journal Article
Open access
PDF file
BYBin Yu
Bin Yu
JHJun Hu
Jun Hu
MFMathias Funk
Mathias Funk
LFLoe Feijs
Loe Feijs
Light is a common ambient medium to express additional information in a peripheral and calm way, but it is also an environmental stimulant to create atmosphere, evoke moods, and provide immersive experiences. Through the design of the DeLight system, we aim to establish a biofeedback-driven lighting environment that informs users about their stress level for intervention and assists them in biofeedback relaxation training. In this study, DeLight is interfaced with a heart rate variability biofeedback system with two modes for different purposes: stress intervention and relaxation assistance. We evaluated the prototype of DeLight in two user studies. The results of the first study show that DeLight has the potential for stress intervention; the HRV biofeedback through the changes of ambient light could improve a user’s awareness of stress and trigger behavioral conditioning, such as deep breathing. The results of the second study confirm that DeLight has potential as a new biofeedback interface for relaxation assistance; biofeedback through an immersive lighting environment can support physiological regulation as effectively as graphic biofeedback; it offers enhanced relaxation effects regarding both subjective experience and physiological arousal. These findings suggest that the biofeedback-driven ambient light can perform as persuasive technology in the domain of health self-management. The combination of decorative and informative aspects enables the lighting interface to offer the users a comfortable and relaxing condition for biofeedback-assisted relaxation training.

4 April 2009
Verified
Conference Paper
Open access
PDF file
CBChristoph Bartneck
Christoph Bartneck
JHJun Hu
Jun Hu
The CHI conference has grown rapidly over the last 26 years. We present a quantitative analysis on the countries and organizations that contribute to its success. Only 7.8 percent of the countries are responsible for 80 percent of the papers in the CHI proceedings, and the USA is clearly the country with most papers. But the success of a country or organization does not depend only on the number of accepted papers, but also on their quality. We present a ranking of countries and organizations based on the h index, an indicator that tries to balance the quantity and quality of scientific output based on a bibliometric analysis. The bibliometric analysis also allowed us to demonstrate the difficulty of judging quality. The papers acknowledged by the best paper award committee were not cited more often than a random sample of papers from the same years. The merit of the award is therefore unclear, and it might be worthwhile to allow the visitor to the conference to vote for the best paper.

18 June 2018 in Behaviour & Information Technology
Verified
Journal Article
Open access
BYBin YU
Bin YU
MFMathias Funk
Mathias Funk
JHJun Hu
Jun Hu
LFLoe Feijs
Loe Feijs
Unwind is a musical biofeedback interface which combines nature sounds and sedative music into a form of New-Age music for relaxation exercises. The nature sounds respond to the user’s physiological data, functioning as an informative layer for biofeedback display. The sedative music aims to induce calmness and evoke positive emotions. UnWind incorporates the benefits of biofeedback and sedative music to facilitate deep breathing, moderate arousal, and promote mental relaxation. We evaluated Unwind in a 2 × 2 factorial experiment with music and biofeedback as independent factors. Forty young adults performed the relaxation exercise under one of the following conditions after experiencing a stressful task: Nature sounds only (NS), Nature sounds with music (NM), and Auditory biofeedback with nature sounds (NSBFB), and UnWind musical biofeedback (NMBFB). The results revealed a significant interaction effect between music and biofeedback on the improvement of heart rate variability. The combination of music and nature sounds also showed benefits in lowering arousal and reducing self-report anxiety. We conclude with a discussion of UnWind for biofeedback and the wider potential of blending nature sounds with music as a musical interface.

26 April 2025 in npj Health Systems
Verified
Journal Article
Open access
PDF file
TLTianqin Lu
Tianqin Lu
QLQingyuan Lin
Qingyuan Lin
BYBin YU
Bin YU
JHJun Hu
Jun Hu
The global incidence of chronic diseases is rising, posing substantial social and economic challenges. These conditions necessitate effective long-term self-care, which can be supported by digital interventions using remote measurement technologies, like smartphones and wearables. This systematic review investigates the motivational strategies within digital technologies to improve self-care adherence for chronic illnesses, particularly cardiovascular diseases and diabetes mellitus. A literature search was conducted, focusing on studies from 2004 to 2024. A total of 17 studies met the inclusion criteria. The reviewed interventions targeted medication adherence, lifestyle modifications, and symptom tracking. Findings suggest that motivational strategies, such as feedback, health literacy, reminders, and motivational messages, goal-setting, social interaction, gamification, and rewards can improve patient adherence to self-care behaviors. However, their effectiveness relies on theoretical grounding, data-driven features, and personalization. Future research should prioritize integrating robust theories and developing standardized metrics for adherence to enhance the reliability and impact of digital interventions.