Zilu Liang- PhD
- Professor (Associate) at Kyoto University of Advanced Science
Zilu Liang
- PhD
- Professor (Associate) at Kyoto University of Advanced Science
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About
165
Publications
33,536
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Introduction
Advancing health and wellness technology by gaining a deeper understanding of nature and human nature. Personal website: https://www.zilu-liang.net/.
Current institution
Kyoto University of Advanced Science
Current position
- Professor (Associate)
Additional affiliations
April 2019 - present
Kyoto University of Advanced Science
Position
- Professor (Associate)
October 2016 - March 2019
December 2015 - September 2016
Publications
Publications (165)
The route guidance system (RGS) has been considered an important technology to mitigate urban traffic congestion. However, existing RGSs provide only route guidance after congestion happens. This reactive strategy imposes a strong limitation on the potential contribution of current RGS to the performance improvement of a traffic network. Thus, a pr...
Preventive health care is considered a promising solution to the prevalence of chronic diseases. Nevertheless,
preventive health care at the population-level adopts an one-fit-all approach. We intend to solve the problem
through promoting preventive health care at the individual level based on self-quantification. Nowadays
millions of people are tr...
Getting enough quality sleep is a key part of a healthy lifestyle. Many people are tracking their sleep through mobile and wearable technology, together with contextual information that may influence sleep quality, like exercise, diet, and stress. However, there is limited support to help people make sense of this wealth of data, i.e., to explore t...
It is now easy to track one's sleep through consumer wearable devices like Fitbit from the comfort of one's home. However, compared to clinical measures, the data generated by such consumer devices is limited in its accuracy. The aim of this paper is to explore how users perceive accuracy issues, possible measurement errors and what can be done to...
Consumer sleep tracking technologies offer an unobtrusive and cost-efficient way to monitor sleep in free-living conditions. Technological advances in hardware and software have significantly improved the functionality of the new gadgets that recently appeared in the market. However, whether the latest gadgets can provide valid measurements on over...
Background: Acute stress induction is essential in psychology research for understanding physiological and psychological responses. In this study, 'acute stress' refers to a short-term, immediate stress response-distinct from chronic, long-term stress exposure. Traditional methods, such as the Trier Social Stress Test (TSST), have ecological validi...
Vitamins and minerals are essential for human health, yet deficiencies are prevalent. Recent advances in consumer health technology have led to the rise of at-home nutritional health test services, offering an affordable and accessible way to measure nutrient levels. This pilot study explores how young people interpret their results from a mail-in...
Personal informatics has emerged as one of the most popular topics in the HCI + health community, with its motto of "self-knowledge through numbers" resonating deeply with many researchers (myself included). As personal informatics researchers, we are fortunately to have an abundance of analytical methods at our disposal, helping us make sense of r...
Mood plays an important role in shaping individual life experiences, and mood tracking has gained great attention within personal informatics research. However, existing mood tracking solutions, which are typically smartphone-based, face several limitations, including notification fatigue, low user engagement, and inconsistent user input. These cha...
Good sleep hygiene is essential for quality sleep. This study investigates user preferences for the timing of interactions with features in smartwatch-based sleep hygiene games. Findings reveal that interactions during sleep are generally undesirable, with Sleep Health Points being the only exception. We also identified a misconception that games m...
Few-shot prompting in large language models (LLMs) significantly improves performance across various tasks, including both in-domain and previously unseen natural language tasks, by learning from limited in-context examples. How these examples enhance transferability and contribute to achieving state-of-the-art (SOTA) performance in downstream task...
Sleep apnea is one of the most common sleep disorders, which, if left untreated, may have severe health consequences in the long term. Many sleep apnea patients remain non-diagnosed due to lacking access to medical tests. In recent years, portable and wearable sensors that measure blood oxygen saturation (SpO2) are becoming common and affordable fo...
The use of wearable devices for sleep apnea detection is growing, but their limited signal resolution poses challenges for accurate diagnosis. This study explores the feasibility of using SpO2 signals from wearable sensors for detecting sleep apnea and classifying its severity. We propose a novel multi-scale feature engineering approach, which extr...
This study aimed to compare two consumer-grade mail-in nutrition test kits, Flemi Check and VitaNote, in measuring protein intake and identifying protein deficiencies. A total of 18 subjects (10 male, 8 female) aged 19 to 36 years participated. Descriptive statistics revealed that most subjects consumed between 60 and 80 grams of protein per day, s...
Heart rate is a key indicator of health, typically measured through skin-contact methods such as electrocardiograms (ECG) or photoplethysmograms (PPG). However, these methods may not be comfortable for everyone, prompting interest in non-contact alternatives. Eye tracking presents a promising solution, as the autonomic nervous system links the eyes...
The advent of continuous glucose monitoring (CGM) has made it possible to measure glucose frequently in daily life. This availability of glucose time series enables advanced analysis to uncover patterns in glycaemic dynamics that were previously undetectable with traditional blood-sample-based measurements. One such analytical method is multiscale...
Anxiety disorders have become a significant subset of mental health challenges in the context of complex modern social life. The widespread integration of social media into daily life has created platforms for individuals to share their updates, offering a rich resource for linguistic and behavioural analysis outside traditional clinical settings....
Sleep apnea remains a key area of sleep research, with the Apnea-Hypopnea Index (AHI) widely used to assess its severity. This study evaluated whether AHI is truly the best indicator of sleep apnea and identified its limitations. Using the Sleep Heart Health Study and Wisconsin Sleep Cohort datasets, which provide large, longitudinal data, we also...
Background:
This scoping review explores the effects of various sound interventions, including music, natural sounds, and speech, on stress response in adults.
Objective:
The review identifies key therapeutic factors, including sound type, individual listener characteristics, and environmental factors. As part of our review, we synthesize eviden...
Mood stability is an important aspect of mental health, and mood tracking is essential for understanding one's mood patterns and identifying triggers for mood swings. This work-in-progress study presents the design and prototype of CLOUDS, a standalone smartwatch app for seamless mood tracking on Wear OS compatible smartwatches. Unlike traditional...
Heart rate sensing has become a standard feature of many consumers wearable devices, including smartwatches such as Google Pixel Watch. Meanwhile, many Unity games integrate heart rate as an indicator of players' excitement and engagement levels, for which consumer smartwatches are very well-suited due to their widespread use. However, heart rate m...
BACKGROUND
This scoping review examines the effects of various sound interventions, including music, natural sounds, and speech, on the stress response in adults.
OBJECTIVE
The review aims to identify key therapeutic factors, including sound type, individual listener characteristics, and environmental influences. It also synthesizes evidence on ph...
Effective blood glucose regulation is essential for both diabetic and non-diabetic individuals. Finger-prick methods are inconvenient and painful, while continuous glucose monitoring (CGM) systems are costly and require frequent sensor replacements. This paper proposes an innovative approach for continuous real-time blood glucose level estimation u...
Mental health refers to the good psychological well-being of a person. Due to genetical, environmental, biological, and psychological reasons an individual's capability to cope with day-today work may reduce resulting in various mental issues like anxiety, depression, and bipolar disorder. With the rapid growth of social-media penetration, people t...
Existing glucose prediction models were developed for diabetes populations. Their generalizability to other populations such as prediabetic population is unknown. To fill in the knowledge gap, we developed a glucose prediction model for prediabetic population. We evaluated the internal and external validity of the model. The results showed that the...
Considering the increasing trend towards sedentary lifestyles, innovative approaches to promote physical activity are essential. In this study we developed a smartwatch application called WristPet, designed to provide motivational nudges to encourage physical activities. Leveraging virtual pet characters, the application encourage users to engage w...
This paper presents the design, development, and initial evaluation of the GyroTetris game. This game combines the classic Tetris gameplay with wrist movements to control the Tetriminos, leveraging smartphone gyroscopes to enhance fine motor skills through engaging gameplay. An evaluation with 21 participants suggests that the game was perceived as...
This paper proposes a novel stress induction protocol utilizing speech improvisation — Interactive Multitask Performance Response Observation (IMPRO) — in front of an audience. This approach aims to induce stress through a combination of public speaking, cognitive effort, and challenge to maintain a spontaneous narrative. We investigate the validit...
Purpose
This study aims to develop sleep apnea screening models with overnight SpO2 data, and to investigate the impact of the SpO2 data granularity on model performance.
Methods
A total of 7,718 SpO2 recordings from the SHHS and MESA datasets were used. Probabilistic ensemble machine learning was employed to predict sleep apnea status at three AH...
BACKGROUND
Sleep games are an emerging topic in the realm of serious health game research. However, designing features that are both enjoyable and effective at engaging users, particularly university students, to develop healthy sleep habits remains a challenge.
OBJECTIVE
This study aimed to investigate user preferences for three sleep game protot...
Background
Sleep games are an emerging topic in the realm of serious health game research. However, designing features that are both enjoyable and effective at engaging users, particularly university students, to develop healthy sleep habits remains a challenge.
Objective
This study aims to investigate user preferences for 3 sleep game prototypes,...
Parameter-efficient soft prompt-based tuning methods have received an increased attention in various downstream tasks due to the expensiveness of traditional fine-tuning methods in pre-trained language models (PLM). Prompt tuning (PT) is one such effective mechanism which has achieved some remarkable performance in transferring the acquired knowled...
While continuous glucose monitoring (CGM) technology has been instrumental in managing diabetes, its potential impact on healthy individuals remains underexplored. This pilot study investigates the influence of wearing a CGM device on glucose regulation and eating behavior among healthy participants. Over approximately two weeks, participants utili...
This study delves into the relationship between students' response time and response accuracy in Kahoot! quiz games, within the context of an app development course for first year university students. Previous research on response time in standardized tests has suggested that longer response time are often linked to correct answers, a phenomenon kn...
Prompt engineering, the process of arranging input or prompts given to a large language model to guide it in producing desired outputs, is an emerging field of research that shapes how these models understand tasks, process information, and generate responses in a wide range of natural language processing (NLP) applications. Digital mental health,...
Sleep hygiene encompasses the habits, behaviors, and environmental adjustments conductive to achieving a restful night's sleep. Practices such as maintaining a consistent bedtime routine, avoiding sleep-disruptive substances such as alcohol and caffeine, and ensuring a dark and quiet bedroom are examples of good sleep hygiene. There is growing evid...
University students often experience sleep disturbances and disorders. Personal digital technologies present a great opportunity for sleep health promotion targeting this population. However, studies that engage university students in designing and implementing digital sleep health technologies are scarce. This study sought to understand how we cou...
BACKGROUND
Sound therapy methods have seen a surge in popularity, with a predominant focus on music among all types of sound stimulation. There is substantial evidence documenting the integrative impact of music therapy on psycho-emotional and physiological outcomes, rendering it beneficial for addressing stress-related conditions such as pain synd...
The challenge of detecting sleep disorders from consumer wearable sensors is attracting more and more researchers in the field. Sleep apnea has been the target of many sleep studies because this disorder has many health, physical, and mental consequences. Because obstruction in the airway is the direct cause of sleep apnea, overnight pulse oximetry...
In this short paper we present the design, implementation and initial evaluation of a smartphone application called FunAlarm. This application allows a user to set stubborn alarms that would not stop until a user win a quiz game. By engaging users into cognitive tasks, FunAlarm serves to help them wake up and prevent them from falling back to sleep...
BACKGROUND
Depression affects the mental and physical well-being of humans. According to the latest statistics, cases of depression-driven self-harm and suicide are reported at an alarming rate. Although multiple clinical diagnosis methods have been established, the requirements of having skilled medical staff, equipment, and processing time limit...
In this short paper we present a study examining students’ experience using a gamification quiz platform, Kahoot!, in two engineering courses in a private Japanese university. We ran Kahoot! quiz game regularly at the end of each lecture session throughout a semester. Students were encouraged but not forced to engage in discussions with peers durin...
In this short paper we present a study examining students’ experience using a gamification quiz platform, Kahoot!, in two engineering courses in a private Japanese university. We ran Kahoot! quiz game regularly at the end of each lecture session throughout a semester. Students were encouraged but not forced to engage in discussions with peers durin...
Mobile app development courses are popular among university students. However, learning design in app development education is primarily instructor-centered, and little effort has been made to understand students' beliefs and opinions of the subjects. Meanwhile, the ongoing changes in the higher education landscape in Japan also demand investigatio...
Sleep apnea is a common sleep disorder characterized by short but frequent stop of breath during sleep. Many sleep apnea patients remain undiagnosed due to a lack of easily accessible screening method. Widely available SpO2 sensors found in consumer smartwatches and activity trackers present a unique opportunity for developing novel sleep apnea scr...
Around 2,200 million (2.2 billion) people have some level of visual disabilities, of which 2 million are in Mexico and 13 million in Japan. These significant communities face challenges in several aspects of their lives including risks when travelling, lack of alternative means of communication, and discrimination in their schools or workspaces. We...
Multi-party conversation (MPC) analysis is a growing and challenging research area which involves multiple interlocutors and complex discourse structures among multiple utterances. Even though most of the existing methods consider implicit complicated structures in MPC modelling, much work remains to be done for speaker-centric written discourse pa...
In this paper we developed ensemble classifiers with SpO2 signals for sleep apnea screening. The ensemble classifiers (eclf) are built on top of five base classifiers, including logistic regression (LR), random forest (RF), support vector machine (SVM), linear discrimination analysis (LDA), and light gradient boosting machine (LGMB). Performance ev...
This research presents a cross-platform application, developed with Flutter, for efficient integration and management of real-time data from wearable sensors including Apple Watch, Android Wear, and Empatica E4. Compatible with iOS and Android, the app collects various physiological signals for easy analysis by health professionals. Utilizing Influ...
Objective
Sleep apnea is a common sleep disorder affecting a significant portion of the population, but many apnea patients remain undiagnosed because existing clinical tests are invasive and expensive. This study aimed to develop a method for easy sleep apnea screening.
Methods
Three supervised machine learning algorithms, including logistic regr...
Background
Sound therapy methods have seen a surge in popularity, with a predominant focus on music among all types of sound stimulation. There is substantial evidence documenting the integrative impact of music therapy on psycho-emotional and physiological outcomes, rendering it beneficial for addressing stress-related conditions such as pain synd...
Sleep apnea is a common sleep disorder affecting a significant portion of the population around the world and is associated to severe health consequences. Existing sleep apnea diagnosis and screening methods require the use of expensive and invasive medical devices, which greatly limits the accessibility and affordability of those methods. The goal...
Sleep apnea is a common sleep disorder that has severe health consequence in the long term. Existing sleep apnea screening models rely on high-resolution physiological signals that are attainable with medical devices. Those models are not compatible with consumer devices as the latter only allow the retrieval of low-resolution data. In this paper,...
Background: Quantified-self sleep tracking devices such as Fitbit are gaining great popularity in recent years. However, users often complain that their sleep tracking data mismatch their subjective sleep experience. The discrepancy between device data and subjective sleep quality has been routinely attributed to the limited accuracy of consumer-gr...
Background: Establishing a reliable stress induction protocol is important for studying stress. Existing protocols for stress induction are confined to the laboratory environment which limits natural behavior. In this pilot study, we collected preliminary data to test a new protocol for voluntary entry and exit of the stressful state using speech i...
Depression-driven suicide is a serious social problem. Early identification of depression is a vital necessity for the well-being of society. Clinical diagnosis of depression takes significant amount of time and requires highly skilled medical staff, which greatly limit its accessibility. Social media analysis for depression detection is a rapidly...
Depression-driven suicide is a serious social problem. Early identification of depression is vital for the well-being of society. Clinical diagnosis of depression takes a significant amount of time and requires highly skilled medical staff, which greatly limits its accessibility. Social media analysis for depression detection is therefore a rapidly...
In response to the globalization of education, an increasing number of Japanese universities are adopting English-medium instruction in computing classes. However, instructors often encounter significant barriers, ranging from the students' insufficient English language competency to the passive learner mentality, and research on EMI-based computin...
Background:
Over the past few decades, there has been a rapid increase in the number of wearable sleep trackers and mobile apps in the consumer market. Consumer sleep tracking technologies allow users to track sleep quality in naturalistic environments. In addition to tracking sleep per se, some sleep tracking technologies also support users in co...
Sleep apnea is a common sleep disorder affecting a significant portion of the population around the world. There is increasing needs for developing physiological indicators that facilitate easy and effective sleep apnea screening. In this study, we propose multiscale attention entropy (MSAE) of overnight pulse oximetry as a new indicator for assess...
Keeping the glucose level in a normal range is critical for maintaining metabolic health. While the glucose dynamics in daytime can be altered by behavioral factors such as eating and exercise, the glucose dynamics during sleep is primarily autonomous and is not subject to direct modification. Nonetheless, it may become possible to indirectly modul...
Digital signal processing (DSP) is one of the most important and yet challenging courses in the engineering curriculum. Traditional lecture methods for DSP often fail to engage students (especially senior students). Learning technologies are promising tools for boosting students’ motivation, engagement, and enhancing their learning experience. Game...
Prior studies have suggested potential associations between poor sleep and glucose dysregulation among diabetic patients. However, little is known about the relationship between sleep and glucose regulation in healthy populations. In this study, we proposed a data mining pipeline based on contrast set mining to identify significant associations bet...
This paper presents an experience report of an introductory app development course that uses a context-based approach to teach app development to first-year engineering students in university. This course uses MIT App Inventor as the development environment to teach how to make apps in a variety of contexts (e.g., quiz app, painting app, speech tra...
It is often assumed that healthy people have the genuine ability to maintain tight blood glucose regulation. However, a few recent studies revealed that glucose dysregulation such as hyperglycemia may occur even in people who are considered normoglycemic by standard measures and were more prevalent than initially thought, suggesting that more inves...
The practice of quantified-self sleep tracking has become increasingly common among healthy individuals as well as patients with sleep problems. However, existing sleep-tracking technologies only support simple data collection and visualization and are incapable of providing actionable recommendations that are tailored to users’ physical, behaviora...
During the COVID-19 pandemic some organizations chose to restrict the number of people permitted to occupy a room simultaneously. People in these organizations often had difficulty finding an available room. In this study we designed, implemented, and evaluated a mobile app-based real-time room occupancy estimation system named AkiKomi. The system...
BACKGROUND
Over the past few decades, there has been a rapid increase in the number of wearable sleep-tracking devices and mobile sleep-tracking apps in the consumer market. Consumer sleep-tracking technologies allow users to track their sleep quality in naturalistic environments. In addition to tracking sleep per se, some sleep-tracking technologi...
Correlation analysis is one of the most popular analytic methods for discovering the relationship between two variables in consumer health data. Nevertheless, the simple sample correlation techniques (e.g., Pearson’s or Spearman’s correlation) assume the independence of the observations, which is often violated when there are repeated measures from...
Quantified-self sleep tracking devices such as Fitbit are gaining great popular in recent years. However, users often complain about the discrepancy between the data collected with sleep trackers and their subjective sleep experience, which is often attributed to the accuracy issue of the devices. In this pilot study, we aim to provide an explanati...
Wearable consumer activity trackers have become a popular tool for longitudinal monitoring of sleep quality. However, sleep data were routinely visualized in isolation from other contextual information. In this paper, we proposed a sleep analytics method to identify the associations between sleep quality and the contextual data that are readily mea...
Quantified-self refers to the practice that people use consumer wearables to collect personal data for self-care or self-knowledge. After more than a decade of its popularity, the quantifies-self practice is still mostly centered on data collection, while data analysis has been routinely limited to simple visualization and correlation analysis. In...
Sleep studies suggest that exams, jobs, and technologies keep teens up at night, but little research exists to engage teens in reflecting on their own sleep. We designed a set of cards and a web-based app “SleepBeta” to support reflection by inviting teens to ask questions, explore, track, and experiment with sleep and related technology and lifest...
Hypertension is one of the most common health conditions in modern society. Accurate blood pressure monitoring in free-living conditions is important for the precise diagnosis and management of hypertension. In tandem with the advances in wearable and ubiquitous technologies, a medical-grade wearable blood pressure monitor-Omron HeartGuide wrist wa...
While the benefits of using visual programming environments at the level of K-12 education have been well-studied, little is known about the plausibility of using visual programming in higher education settings. This empirical study compares the merits and demerits of using textual programming environments (e.g., Android Studio) and visual programm...
People with mental stress often experience disturbed sleep, suggesting stress-related abnormalities in brain activity during sleep. However, no study has looked at the physiological oscillations in brain hemodynamics during sleep in relation to stress. In this pilot study, we aimed to explore the relationships between bedtime stress and the hemodyn...
Quantified-self sleep tracking devices such as Fitbit are becoming increasingly popular in recent years. However, users often complain about the discrepancy between the data collected with sleep trackers and their subjective sleep experience, which is often attributed to the accuracy issue of the devices. In this pilot study, we aim to provide an e...
It is well-known that stress affects sleep quality, suggesting abnormal brain activity during sleep when people are stressed. However, no study has examined where brain processes stress during sleep. This study aims to explore the associations between bedtime stress and the hemodynamics in the prefrontal cortex (PFC) during the first sleep cycle un...
The performance of consumer wearable sleep trackers could vary significantly from user to user. This paper presents a pilot study on the effect of the feature distribution shift between training and test datasets on the performance of sleep classification models. We used Anderson-Darling (AD) statistic to quantify the shift in feature distribution,...
PURPOSE: To investigate the correlation between bedtime stress level and the hemodynamics in the prefrontal cortex during the first sleep cycle.
METHODS: This study adopted the N-of-1 approach and conducted a data collection experiment over 15 days with a 36-year-old male participant who has no diagnosed medical conditions. Saliva samples were co...
Consumer wearable activity trackers, such as Fitbit are widely used in ubiquitous and longitudinal sleep monitoring in free-living environments. However, these devices are known to be inaccurate for measuring sleep stages. In this study, we develop and validate a novel approach that leverages the processed data readily available from consumer activ...
PURPOSE: To investigate the correlation between subjective sleep quality and the hemodynamics in the prefrontal cortex during the first sleep cycle.
METHODS: An N-of-1 data collection experiment was conducted with a healthy male subject aged 36-year-old for 15 days. The subject was asked to rate his sleep quality on a five-level scale (1=very poor...
The study of eating behavior has become increasingly important due to the alarming high prevalence of lifestyle related chronic diseases. In this study, we investigated the feasibility of automatic detection of eating events using affordable consumer wearable devices, including Fitbit wristbands, Mi Bands, and FreeStyle Libre continuous glucose mon...
The automatic detection of eating activities is important for understanding eating patterns and diagnosing eating disorders. In this paper, we investigated the effect of using continuous glucose monitor together with off-the-shelf consumer wearable wristbands in enhancing the classification accuracy of eating and non-eating activities. Our results...
Hypertension is one of the most common health conditions in modern society. Accurate blood pressure monitoring in free-living conditions is important for the precise diagnosis and management of hypertension. In tandem with the advances in wearable and ubiquitous technologies, a medical-grade wearable blood pressure monitor–Omron HeartGuideTM wristw...
For the first time in the history of the TALE conferences, the TALE 2020 featured a student research competition (TALE SRC). The TALE SRC gives students the opportunity to share their research ideas and results in a special forum that provides visibility for their work and to meet with and interact with TALE research community. The TALE SRC consist...
Hypertension is one of the most common health conditions in modern society. Accurate blood pressure monitoring in free-living conditions is important for the precise diagnosis and management of hypertension. In tandem with the advances in wearable and ubiquitous technologies, a medical-grade wearable blood pressure monitor-Omron HeartGuide wristwat...
This special track of the IEEE TALE 2020 conference was focused on how robotics, automation, and ubiquitous smart technologies can be leveraged to enhance learning and to better prepare students for work and life in an uncertain future. This special track provided a platform for teachers, educational researchers, and technology developers to share...
The COVID-19 pandemic triggered unprecedented adoption of online education in universities and digital technologies are increasingly becoming an essential part of the learning and teaching experience. From within an ongoing pandemic 'lockdown', this study investigates the current landscape of online education with a focus on the authenticity of the...
Questions
Questions (3)
Hello, has anyone tried to analyze Artinis fNIRS data with the MNE python library? It seems the format .oxy3 or .oxy4 is not supported in MNE. Does anyone have an idea how to hack this problem?
Hello friends and fellow researchers, greetings from Kyoto! I hope everyone is healthy and sound in this special time. I'd like to share this call-for-participation with all of you, as I thought you or your students may be interested in giving it a try ;)
The IEEE International Conference on Teaching, Assessment and Learning for Engineering (Dec 8-11, 2020 @ online) is organizing a student research competition (SRC). The TALE SRC gives students the opportunity to share their research ideas and results in a special forum that provides visibility for their work and to meet with and interact with TALE research community. The TALE SRC will consist of two categories: undergraduate and graduate, with prizes awarded based on judging during the conference. Students will submit extended abstracts of 2 pages maximum (reference DO NOT count towards page length), which will be reviewed to determine acceptance into the SRC. The abstract will be made available on the conference website but will not be published in the conference proceedings. This allows the authors to submit their work to other venues at a later stage. For more information, please visit the TALE SRC website (http://tale2020.org/student-research-competition/). An audience (non-presenter) registration to the TALE 2020 main conference is required to participate in the TALE SRC. If your paper has been accepted to the TALE 2020 main conference, you can participate in the TALE SRC free-of-charge.
Abstract submission site: https://forms.gle/f35awKdCk8ATixyh8
Registration site: https://tale2020.org/fee/
In the mean time, we are welcoming teachers and researchers to the judge panel of the TALE SRC. Judges will give feedback to students' presentations and will vote for the winners. If you are interested in becoming a judge of the TALE SRC, please direct reply to this discussion or contact Dr. Zilu Liang (tale-rau@outlook.com).
We look forward to hearing from you <3 Happy researching!
Dear fellow researchers, greetings from Kyoto. I hope all of you are safe and sound. We are currently organizing a special track in TALE 2020, the flagship conference of IEEE Education Society on STEM education. This special track, entitled "Preparing the Workforce for Industry 4.0: Robotics, Automation, and Ubiquitous Smart Technologies in Education", aims to bring together teachers, educational researchers, and technology developers to discuss the trends and issues of integrating robotic, automatic and ubiquitous learning technologies in STEM education to prepare students for career readiness.
If you feel attracted and want to help review papers submitted to this special track, please let us know your interest by answering a few questions at shorturl.at/dtyN6. The form should take less than 5 minutes to complete.
Take care and stay healthy!
