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  • Ananthan S, Gao N and Salim F. Understanding Physiological Responses of Students Over Different Courses. Proceedings of the 2024 ACM International Symposium on Wearable Computers. (104-110).

    https://doi.org/10.1145/3675095.3676620

  • Goujon A, Rosin F, Magnani F, Lamouri S, Pellerin R and Joblot L. (2024). Industry 5.0 use cases development framework. International Journal of Production Research. 10.1080/00207543.2024.2307505. 62:17. (6064-6089). Online publication date: 1-Sep-2024.

    https://www.tandfonline.com/doi/full/10.1080/00207543.2024.2307505

  • Udugahapattuwa D and Fernando M. (2024). An E-learning System Model to Enhance User Experience with Content Recommendation 2024 Moratuwa Engineering Research Conference (MERCon). 10.1109/MERCon63886.2024.10688835. 979-8-3315-2904-8. (1-6).

    https://ieeexplore.ieee.org/document/10688835/

  • Patidar P, Ngoon T, Zimmerman J, Ogan A and Agarwal Y. (2024). ClassID: Enabling Student Behavior Attribution from Ambient Classroom Sensing Systems. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 8:2. (1-28). Online publication date: 13-May-2024.

    https://doi.org/10.1145/3659586

  • Gilbert T, Lin Z, Day S, Hamilton A and Ward J. (2024). A magnetometer-based method for in-situ syncing of wearable inertial measurement units. Frontiers in Computer Science. 10.3389/fcomp.2024.1385392. 6.

    https://www.frontiersin.org/articles/10.3389/fcomp.2024.1385392/full

  • Taherisadr M, Faruque M and Elmalaki S. ERUDITE: Human-in-the-Loop IoT for an Adaptive Personalized Learning System. IEEE Internet of Things Journal. 10.1109/JIOT.2023.3343462. 11:8. (14532-14550).

    https://ieeexplore.ieee.org/document/10362969/

  • Yin Y, Xie L, Jiang Z, Xiao F, Cao J and Lu S. (2024). A Systematic Review of Human Activity Recognition Based on Mobile Devices: Overview, Progress and Trends. IEEE Communications Surveys & Tutorials. 26:2. (890-929). Online publication date: 1-Apr-2024.

    https://doi.org/10.1109/COMST.2024.3357591

  • Zhang H and Xiong F. (2024). Research on the Mechanism of Dynamic Monitoring of Undergraduate Students’ Learning Situation and Adaptive Adjustment of Teaching Mode--Based on the Perspective of Educational Evaluation Reform. Applied Mathematics and Nonlinear Sciences. 10.2478/amns-2024-2746. 9:1. Online publication date: 1-Jan-2024.. Online publication date: 1-Jan-2024.

    https://www.sciendo.com/article/10.2478/amns-2024-2746

  • Doran K, Witmer S, Yoon K, Fischer E, Ebangwese A, Sharma S, Duggirala G and Chen L. (2023). Gauging the stress of long‐term care nursing assistants using ecological momentary assessment, wearable sensors and end of day reconstruction. International Journal of Older People Nursing. 10.1111/opn.12592. 19:1. Online publication date: 1-Jan-2024.

    https://onlinelibrary.wiley.com/doi/10.1111/opn.12592

  • Albakri S, Ada M and Morrison A. (2023). Exploring Student Engagement, Confidence, and Usefulness for Female Students in CS Class at High School Using Machine Learning 2023 IEEE Frontiers in Education Conference (FIE). 10.1109/FIE58773.2023.10343402. 979-8-3503-3642-9. (1-9).

    https://ieeexplore.ieee.org/document/10343402/

  • Gemicioglu T, Winters R, Wang Y, Gable T and Tashev I. TongueTap: Multimodal Tongue Gesture Recognition with Head-Worn Devices. Proceedings of the 25th International Conference on Multimodal Interaction. (564-573).

    https://doi.org/10.1145/3577190.3614120

  • Ji K, Spina D, Hettiachchi D, Scholer F and Salim F. Towards Detecting Tonic Information Processing Activities with Physiological Data. Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing. (1-5).

    https://doi.org/10.1145/3594739.3610679

  • Booth B, Bosch N and D’Mello S. Engagement Detection and Its Applications in Learning: A Tutorial and Selective Review. Proceedings of the IEEE. 10.1109/JPROC.2023.3309560. 111:10. (1398-1422).

    https://ieeexplore.ieee.org/document/10243609/

  • Laporte M, Gjoreski M and Langheinrich M. (2023). LAUREATE. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 7:3. (1-41). Online publication date: 27-Sep-2023.

    https://doi.org/10.1145/3610892

  • Zhu R, Shi L, Song Y and Cai Z. (2023). Integrating Gaze and Mouse Via Joint Cross-Attention Fusion Net for Students' Activity Recognition in E-learning. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 7:3. (1-35). Online publication date: 27-Sep-2023.

    https://doi.org/10.1145/3610876

  • Ji K, Spina D, Hettiachchi D, Salim F and Scholer F. Examining the Impact of Uncontrolled Variables on Physiological Signals in User Studies for Information Processing Activities. Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. (1971-1975).

    https://doi.org/10.1145/3539618.3591981

  • Xu S and Zhang X. Augmenting Human Cognition with an AI-Mediated Intelligent Visual Feedback. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. (1-16).

    https://doi.org/10.1145/3544548.3580905

  • Zeng S, Wan H, Shi S and Wang W. (2023). mSilent. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 7:1. (1-28). Online publication date: 27-Mar-2023.

    https://doi.org/10.1145/3580838

  • Sun Y, Greaves D, Orgs G, de C. Hamilton A, Day S and Ward J. (2023). Using Wearable Sensors to Measure Interpersonal Synchrony in Actors and Audience Members During a Live Theatre Performance. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 7:1. (1-29). Online publication date: 27-Mar-2023.

    https://doi.org/10.1145/3580781

  • Wu Y, Valdez R and Forlines C. (2023). Cognitive and Emotional Monitoring with Inexpensive Wrist-Worn Consumer-Grade Wearables 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). 10.1109/PerComWorkshops56833.2023.10150338. 978-1-6654-5381-3. (665-670).

    https://ieeexplore.ieee.org/document/10150338/

  • Han J, Chernyshov G, Sugawa M, Zheng D, Hynds D, Furukawa T, Padovani Macieira M, Marky K, Minamizawa K, Ward J and Kunze K. (2023). Linking Audience Physiology to Choreography. ACM Transactions on Computer-Human Interaction. 30:1. (1-32). Online publication date: 28-Feb-2023.

    https://doi.org/10.1145/3557887

  • Chen Y, Zhou J, Gao Q, Gao J and Zhang W. (2023). MDNN: Predicting Student Engagement via Gaze Direction and Facial Expression in Collaborative Learning. Computer Modeling in Engineering & Sciences. 10.32604/cmes.2023.023234. 136:1. (381-401).

    https://www.techscience.com/CMES/v136n1/51185

  • Jianhua T, Jiangtao G, Nan G, Siwei F, Shan L and Chun Y. (2023). Human-computer interaction for virtual-real fusion. Journal of Image and Graphics. 10.11834/jig.230020. 28:6. (1513-1542).

    http://www.cjig.cn/jig/ch/reader/view_abstract.aspx?file_no=230020

  • Na S, Park S, Jun J, Jeong H, Yoo T, Chun M, Lee H, Lee H and Jung H. SUV: Students’ Understanding Visualizer to Support Instructors in Synchronous Online Lectures. IEEE Access. 10.1109/ACCESS.2023.3303030. 11. (88929-88945).

    https://ieeexplore.ieee.org/document/10210371/

  • Hao Z, Wang Y, Zhang D and Dang X. UltrasonicG: Highly Robust Gesture Recognition on Ultrasonic Devices. Wireless Algorithms, Systems, and Applications. (267-278).

    https://doi.org/10.1007/978-3-031-19214-2_22

  • Zhang Z, Zheng J and Magnenat Thalmann N. (2022). Engagement estimation of the elderly from wild multiparty human–robot interaction. Computer Animation and Virtual Worlds. 10.1002/cav.2120. 33:6. Online publication date: 1-Nov-2022.

    https://onlinelibrary.wiley.com/doi/10.1002/cav.2120

  • Bustos-López M, Cruz-Ramírez N, Guerra-Hernández A, Sánchez-Morales L, Cruz-Ramos N and Alor-Hernández G. (2022). Wearables for Engagement Detection in Learning Environments: A Review. Biosensors. 10.3390/bios12070509. 12:7. (509).

    https://www.mdpi.com/2079-6374/12/7/509

  • Kay J. Grand Challenges for Pervasive Technology to Transform Pervasive Education. IEEE Pervasive Computing. 10.1109/MPRV.2022.3199104. 21:3. (32-41).

    https://ieeexplore.ieee.org/document/9875371/

  • Majumdar R, Tanimura N, Arakawa Y, Nakamizo Y, Li H, Yang Y, Flanagan B and Ogata H. (2022). Learning at a Cafe and Learning at a Lab: Integrating Learning Logs with Smart Eyewear and Environmental Sensor Data 2022 International Conference on Advanced Learning Technologies (ICALT). 10.1109/ICALT55010.2022.00036. 978-1-6654-9519-6. (95-97).

    https://ieeexplore.ieee.org/document/9853802/

  • Gao N, Xue H, Shao W, Zhao S, Qin K, Prabowo A, Rahaman M and Salim F. (2022). Generative Adversarial Networks for Spatio-temporal Data: A Survey. ACM Transactions on Intelligent Systems and Technology. 13:2. (1-25). Online publication date: 30-Apr-2022.

    https://doi.org/10.1145/3474838

  • Kainat , Ali S, Iqbal K, Avaz Y and Saiid M. (2022). A Review on Different Approaches for Assessing Student Attentiveness in Classroom using Behavioural Elements 2022 2nd International Conference on Artificial Intelligence (ICAI). 10.1109/ICAI55435.2022.9773418. 978-1-6654-6896-1. (152-158).

    https://ieeexplore.ieee.org/document/9773418/

  • Sharma K, Lee-Cultura S and Giannakos M. (2022). Keep Calm and Do Not Carry-Forward: Toward Sensor-Data Driven AI Agent to Enhance Human Learning. Frontiers in Artificial Intelligence. 10.3389/frai.2021.713176. 4.

    https://www.frontiersin.org/articles/10.3389/frai.2021.713176/full

  • Di Lascio E, Gashi S, Debus M and Santini S. (2021). Automatic Recognition of Flow During Work Activities Using Context and Physiological Signals 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII). 10.1109/ACII52823.2021.9597434. 978-1-6654-0019-0. (1-8).

    https://ieeexplore.ieee.org/document/9597434/

  • Ahuja K, Shah D, Pareddy S, Xhakaj F, Ogan A, Agarwal Y and Harrison C. Classroom Digital Twins with Instrumentation-Free Gaze Tracking. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. (1-9).

    https://doi.org/10.1145/3411764.3445711

  • Qin Y, Yu C, Li Z, Zhong M, Yan Y and Shi Y. ProxiMic: Convenient Voice Activation via Close-to-Mic Speech Detected by a Single Microphone. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. (1-12).

    https://doi.org/10.1145/3411764.3445687

  • Schwee J, Sangogboye F, Salim F and Kjærgaard M. Tool-chain for supporting Privacy Risk Assessments. Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation. (140-149).

    https://doi.org/10.1145/3408308.3427605