• Ghose D, Gitelson O and Scassellati B. Integrating Multimodal Affective Signals for Stress Detection from Audio-Visual Data. Proceedings of the 26th International Conference on Multimodal Interaction. (22-32).

    https://doi.org/10.1145/3678957.3685717

  • Neigel P, Vargo A, Tag B and Kise K. Using Wearables to Unobtrusively Identify Periods of Stress in a Real University Environment. Proceedings of the 2024 ACM International Symposium on Wearable Computers. (17-24).

    https://doi.org/10.1145/3675095.3676608

  • Mukhopadhyay S, Sharma V, Jaiswal D, Dey S and Ghose A. TinyStressNAS: Automated Feature Selection and Model Generation for On-device Stress Detection. Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing. (430-436).

    https://doi.org/10.1145/3675094.3678497

  • Bhatti A, Behinaein B, Hungler P and Etemad A. (2024). AttX: Attentive Cross-Connections for Fusion of Wearable Signals in Emotion Recognition. ACM Transactions on Computing for Healthcare. 5:3. (1-24). Online publication date: 31-Jul-2024.

    https://doi.org/10.1145/3653722

  • Vatsal R, Mishra S, Thareja R, Chakrabarty M, Sharma O and Shukla J. (2024). An Analysis of Physiological and Psychological Responses in Virtual Reality and Flat Screen Gaming. IEEE Transactions on Affective Computing. 15:3. (1696-1710). Online publication date: 1-Jul-2024.

    https://doi.org/10.1109/TAFFC.2024.3368703

  • Awada M, Becerik-Gerber B, Lucas G, Roll S and Liu R. (2024). A New Perspective on Stress Detection: An Automated Approach for Detecting Eustress and Distress. IEEE Transactions on Affective Computing. 15:3. (1153-1165). Online publication date: 1-Jul-2024.

    https://doi.org/10.1109/TAFFC.2023.3324910

  • Atiq Z and Batra R. (2024). How Do First-Year Engineering Students’ Emotions Change while Working on Programming Problems?. ACM Transactions on Computing Education. 24:2. (1-30). Online publication date: 30-Jun-2024.

    https://doi.org/10.1145/3643865

  • Zhang X, Wei X, Zhou Z, Zhao Q, Zhang S, Yang Y, Li R and Hu B. (2023). Dynamic Alignment and Fusion of Multimodal Physiological Patterns for Stress Recognition. IEEE Transactions on Affective Computing. 15:2. (685-696). Online publication date: 1-Apr-2024.

    https://doi.org/10.1109/TAFFC.2023.3290177

  • Alchieri L, Abdalazim N, Alecci L, Gashi S, Gjoreski M and Santini S. (2024). Lateralization Effects in Electrodermal Activity Data Collected Using Wearable Devices. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 8:1. (1-30). Online publication date: 6-Mar-2024.

    https://doi.org/10.1145/3643541

  • Zammouri A, Moussa A and Chevallier S. (2024). Use of cognitive load measurements to design a new architecture of intelligent learning systems. Expert Systems with Applications: An International Journal. 237:PA. Online publication date: 1-Mar-2024.

    https://doi.org/10.1016/j.eswa.2023.121253

  • Xiao Y, Sharma H, Zhang Z, Bergen-Cico D, Rahman T and Salekin A. (2024). Reading Between the Heat. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 7:4. (1-30). Online publication date: 19-Dec-2023.

    https://doi.org/10.1145/3631441

  • Dogan G and Akbulut F. (2023). Multi-modal fusion learning through biosignal, audio, and visual content for detection of mental stress. Neural Computing and Applications. 35:34. (24435-24454). Online publication date: 1-Dec-2023.

    https://doi.org/10.1007/s00521-023-09036-4

  • Nkem D and Xue M. BallBounce: Designing Collective Stress-Related Visualizations for Office Workers Using Galvanic Skin Response Sensor. Proceedings of the 2023 ACM Symposium on Spatial User Interaction. (1-5).

    https://doi.org/10.1145/3607822.3616417

  • Ahmadi M, Michalka S, Lenzoni S, Ahmadi Najafabadi M, Bai H, Sumich A, Wuensche B and Billinghurst M. Cognitive Load Measurement with Physiological Sensors in Virtual Reality during Physical Activity. Proceedings of the 29th ACM Symposium on Virtual Reality Software and Technology. (1-11).

    https://doi.org/10.1145/3611659.3615704

  • Chiossi F, Kosch T, Menghini L, Villa S and Mayer S. (2023). SensCon: Embedding Physiological Sensing into Virtual Reality Controllers. Proceedings of the ACM on Human-Computer Interaction. 7:MHCI. (1-32). Online publication date: 11-Sep-2023.

    https://doi.org/10.1145/3604270

  • Mancuso V, Bruni F, Stramba-Badiale C, Riva G, Cipresso P and Pedroli E. (2023). How do emotions elicited in virtual reality affect our memory? A systematic review. Computers in Human Behavior. 146:C. Online publication date: 1-Sep-2023.

    https://doi.org/10.1016/j.chb.2023.107812

  • Karthikeyan R, McDonald A and Mehta R. (2022). Stress Detection During Motor Activity: Comparing Neurophysiological Indices in Older Adults. IEEE Transactions on Affective Computing. 14:3. (2224-2237). Online publication date: 1-Jul-2023.

    https://doi.org/10.1109/TAFFC.2022.3148234

  • Ba S and Hu X. (2023). Measuring emotions in education using wearable devices. Computers & Education. 200:C. Online publication date: 1-Jul-2023.

    https://doi.org/10.1016/j.compedu.2023.104797

  • Jaiswal D, Chatterjee D, Sarkar A, S M, Ramakrishnan R, Pal A and Ghosh R. Assessment of Mental Workloads using Differential Dermal Potentials Recorded from in and around Ear. Proceedings of the 8th Workshop on Body-Centric Computing Systems. (1-6).

    https://doi.org/10.1145/3597061.3597257

  • Zhang X, Guo F, Du J and Jin X. Photoplethysmogram Based Cognitive Load Recognition Using Lstm. Proceedings of the 2023 15th International Conference on Bioinformatics and Biomedical Technology. (167-172).

    https://doi.org/10.1145/3608164.3608188

  • Boonprakong N, Chen X, Davey C, Tag B and Dingler T. Bias-Aware Systems: Exploring Indicators for the Occurrences of Cognitive Biases when Facing Different Opinions. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. (1-19).

    https://doi.org/10.1145/3544548.3580917

  • Zhu H, Chen H and Lin C. (2023). The Effects of Virtual and Physical Elevation on Physiological Stress During Virtual Reality Height Exposure. IEEE Transactions on Visualization and Computer Graphics. 29:4. (1937-1950). Online publication date: 1-Apr-2023.

    https://doi.org/10.1109/TVCG.2021.3134412

  • Ekiz D, Can Y and Ersoy C. (2023). Long Short-Term Memory Network Based Unobtrusive Workload Monitoring With Consumer Grade Smartwatches. IEEE Transactions on Affective Computing. 14:2. (895-905). Online publication date: 1-Apr-2023.

    https://doi.org/10.1109/TAFFC.2021.3110211

  • Sagastibeltza N, Salazar-Ramirez A, Martinez R, Jodra J and Muguerza J. (2022). Automatic detection of the mental state in responses towards relaxation. Neural Computing and Applications. 35:8. (5679-5696). Online publication date: 1-Mar-2023.

    https://doi.org/10.1007/s00521-022-07435-7

  • Greco A, Valenza G, Lázaro J, Garzón-Rey J, Aguiló J, de la Cámara C, Bailón R and Scilingo E. (2023). Acute Stress State Classification Based on Electrodermal Activity Modeling. IEEE Transactions on Affective Computing. 14:1. (788-799). Online publication date: 1-Jan-2023.

    https://doi.org/10.1109/TAFFC.2021.3055294

  • Zhou T, Cha J, Gonzalez G, Sundaram C, Wachs J and Yu D. JISAP: Joint Inference for Surgeon Attributes Prediction during Robot-Assisted Surgery. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). (2246-2251).

    https://doi.org/10.1109/IROS40897.2019.8968097

  • Lagomarsino M, Lorenzini M, De Momi E and Ajoudani A. (2022). An Online Framework for Cognitive Load Assessment in Industrial Tasks. Robotics and Computer-Integrated Manufacturing. 78:C. Online publication date: 1-Dec-2022.

    https://doi.org/10.1016/j.rcim.2022.102380

  • Zhao H, Scholz A, Beigl M, Ni S, Singaraju S and Aghassi-Hagmann J. Printed Electrodermal Activity Sensor with Optimized Filter for Stress Detection. Proceedings of the 2022 ACM International Symposium on Wearable Computers. (112-114).

    https://doi.org/10.1145/3544794.3558479

  • Zhu L, Spachos P and Gregori S. Multimodal Physiological Signals and Machine Learning for Stress Detection by Wearable Devices. 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA). (1-6).

    https://doi.org/10.1109/MeMeA54994.2022.9856558

  • Nath R, Thapliyal H and Caban-Holt A. (2022). Machine Learning Based Stress Monitoring in Older Adults Using Wearable Sensors and Cortisol as Stress Biomarker. Journal of Signal Processing Systems. 94:6. (513-525). Online publication date: 1-Jun-2022.

    https://doi.org/10.1007/s11265-020-01611-5

  • Zhang Z, Amegbor P and Sabel C. (2022). The Feasibility of Integrating Wearable Cameras and Health Trackers for Measuring Personal Exposure to Urban Features. International Journal of E-Planning Research. 11:1. (1-21). Online publication date: 22-Apr-2022.

    https://doi.org/10.4018/IJEPR.313181

  • Dey A, Barde A, Yuan B, Sareen E, Dobbins C, Goh A, Gupta G, Gupta A and Billinghurst M. (2022). Effects of interacting with facial expressions and controllers in different virtual environments on presence, usability, affect, and neurophysiological signals. International Journal of Human-Computer Studies. 160:C. Online publication date: 1-Apr-2022.

    https://doi.org/10.1016/j.ijhcs.2021.102762

  • Lv F, Liu H and Zhu F. (2022). Wearable-Based Virtual Display Information Processing and Data Fusion Research. Mobile Information Systems. 2022. Online publication date: 1-Jan-2022.

    https://doi.org/10.1155/2022/3644038

  • Nahavandi D, Alizadehsani R, Khosravi A and Acharya U. (2022). Application of artificial intelligence in wearable devices. Computer Methods and Programs in Biomedicine. 213:C. Online publication date: 1-Jan-2022.

    https://doi.org/10.1016/j.cmpb.2021.106541

  • Zheng Z, Sarkar N, Swanson A, Weitlauf A, Warren Z and Sarkar N. (2021). CheerBrush: A Novel Interactive Augmented Reality Coaching System for Toothbrushing Skills in Children with Autism Spectrum Disorder. ACM Transactions on Accessible Computing. 14:4. (1-20). Online publication date: 31-Dec-2022.

    https://doi.org/10.1145/3481642

  • Lv T, Tong L, Zhang J and Chen Y. (2021). A real-time physiological signal acquisition and analyzing method based on fractional calculus and stream computing. Soft Computing - A Fusion of Foundations, Methodologies and Applications. 25:22. (13933-13939). Online publication date: 1-Nov-2021.

    https://doi.org/10.1007/s00500-020-04703-3

  • Elvitigala D, Scholl P, Suriyaarachchi H, Dissanayake V and Nanayakkara S. StressShoe: A DIY Toolkit for just-in-time Personalised Stress Interventions for Office Workers Performing Sedentary Tasks. Proceedings of the 23rd International Conference on Mobile Human-Computer Interaction. (1-14).

    https://doi.org/10.1145/3447526.3472023

  • Nath R and Thapliyal H. (2021). Machine Learning-Based Anxiety Detection in Older Adults Using Wristband Sensors and Context Feature. SN Computer Science. 2:5. Online publication date: 1-Sep-2021.

    https://doi.org/10.1007/s42979-021-00744-z

  • Wakabayashi N, Shimakawa H and Harada F. Detection and Classification of Stress for Task Recommendation Using Wearable Sensors. Proceedings of the 2021 5th International Conference on Cloud and Big Data Computing. (116-122).

    https://doi.org/10.1145/3481646.3481664

  • Vanneste P, Raes A, Morton J, Bombeke K, Van Acker B, Larmuseau C, Depaepe F and Van den Noortgate W. (2021). Towards measuring cognitive load through multimodal physiological data. Cognition, Technology and Work. 23:3. (567-585). Online publication date: 1-Aug-2021.

    https://doi.org/10.1007/s10111-020-00641-0

  • Sánchez-Reolid R, de la Rosa F, Sánchez-Reolid D, López M and Fernández-Caballero A. Feature and Time Series Extraction in Artificial Neural Networks for Arousal Detection from Electrodermal Activity. Advances in Computational Intelligence. (265-276).

    https://doi.org/10.1007/978-3-030-85030-2_22

  • Iadarola G, Poli A and Spinsante S. Reconstruction of Galvanic Skin Response Peaks via Sparse Representation. 2021 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). (1-6).

    https://doi.org/10.1109/I2MTC50364.2021.9459905

  • Babaei E, Tag B, Dingler T and Velloso E. A Critique of Electrodermal Activity Practices at CHI. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. (1-14).

    https://doi.org/10.1145/3411764.3445370

  • Arya R, Singh J and Kumar A. (2021). A survey of multidisciplinary domains contributing to affective computing. Computer Science Review. 40:C. Online publication date: 1-May-2021.

    https://doi.org/10.1016/j.cosrev.2021.100399

  • Belletier C, Charkhabi M, Pires de Andrade Silva G, Ametepe K, Lutz M and Izaute M. (2021). Wearable cognitive assistants in a factory setting: a critical review of a promising way of enhancing cognitive performance and well-being. Cognition, Technology and Work. 23:1. (103-116). Online publication date: 1-Feb-2021.

    https://doi.org/10.1007/s10111-019-00610-2

  • Khowaja S, Prabono A, Setiawan F, Yahya B and Lee S. (2021). Toward soft real-time stress detection using wrist-worn devices for human workspaces. Soft Computing - A Fusion of Foundations, Methodologies and Applications. 25:4. (2793-2820). Online publication date: 1-Feb-2021.

    https://doi.org/10.1007/s00500-020-05338-0

  • Gasparini F, Giltri M, Bandini S, Lujak M, Dusparic I, Klügl F and Vizzari G. (2021). Safety perception and pedestrian dynamics. AI Communications. 34:1. (5-19). Online publication date: 1-Jan-2021.

    https://doi.org/10.3233/AIC-201576

  • Jiang S, Chen W, Kang Y and Aricò P. (2021). Correlation Evaluation of Pilots’ Situation Awareness in Bridge Simulations via Eye-Tracking Technology. Computational Intelligence and Neuroscience. 2021. Online publication date: 1-Jan-2021.

    https://doi.org/10.1155/2021/7122437

  • Kim T, Měsíček L, Kim S and Riboni D. (2021). Modeling of Child Stress-State Identification Based on Biometric Information in Mobile Environment. Mobile Information Systems. 2021. Online publication date: 1-Jan-2021.

    https://doi.org/10.1155/2021/5531770

  • Khan T, Javed H, Amin M, Usman O, Ishtiaq Hussain S, Mehmoood A, Maple C and Schifano S. (2021). EEG Based Aptitude Detection System for Stress Regulation in Health Care Workers. Scientific Programming. 2021. Online publication date: 1-Jan-2021.

    https://doi.org/10.1155/2021/4620487

  • Gasparini F, Giltri M and Bandini S. (2020). Discriminating affective state intensity using physiological responses. Multimedia Tools and Applications. 79:47-48. (35845-35865). Online publication date: 1-Dec-2020.

    https://doi.org/10.1007/s11042-020-09114-y

  • Wang Z, Yu Z, Zhao B, Guo B, Chen C and Yu Z. (2020). EmotionSense. ACM Transactions on Computing for Healthcare. 1:4. (1-17). Online publication date: 31-Oct-2020.

    https://doi.org/10.1145/3384394

  • Rodrigues C, Fröhlich W, Jabroski A, Rigo S, Rodrigues A and de Castro E. Evaluating a New Approach to Data Fusion in Wearable Physiological Sensors for Stress Monitoring. Intelligent Systems. (544-557).

    https://doi.org/10.1007/978-3-030-61380-8_37

  • Di Lascio E, Gashi S, Hidalgo J, Nale B, Debus M and Santini S. (2020). A Multi-Sensor Approach to Automatically Recognize Breaks and Work Activities of Knowledge Workers in Academia. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 4:3. (1-20). Online publication date: 4-Sep-2020.

    https://doi.org/10.1145/3411821

  • Sharma K, Niforatos E, Giannakos M and Kostakos V. (2020). Assessing Cognitive Performance Using Physiological and Facial Features. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 4:3. (1-41). Online publication date: 4-Sep-2020.

    https://doi.org/10.1145/3411811

  • Liapis A, Katsanos C, Karousos N, Sotiropoulos D, Xenos M and Orphanoudakis T. Stress Heatmaps: A Fuzzy-Based Approach that Uses Physiological Signals. Design, User Experience, and Usability. Case Studies in Public and Personal Interactive Systems. (268-277).

    https://doi.org/10.1007/978-3-030-49757-6_19

  • Rojas C, Corral M, Poulsen N and Maes P. Project Us. Companion Publication of the 2020 ACM Designing Interactive Systems Conference. (139-144).

    https://doi.org/10.1145/3393914.3395882

  • Politowski C, Petrillo F and Guéhéneuc Y. Improving Engagement Assessment in Gameplay Testing Sessions using IoT Sensors. Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops. (655-659).

    https://doi.org/10.1145/3387940.3392249

  • Wong J, Wang J, Fu E, Leong H and Ngai G. Activity Recognition and Stress Detection via Wristband. Proceedings of the 17th International Conference on Advances in Mobile Computing & Multimedia. (102-106).

    https://doi.org/10.1145/3365921.3365950

  • Liapis A, Katsanos C, Karousos N, Xenos M and Orphanoudakis T. UDSP+. Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers. (125-128).

    https://doi.org/10.1145/3341162.3343831

  • Sridhar P, Chan S, Chua Y, Quin Y and Nanayakkara S. (2019). Going beyond performance scores. International Journal of Child-Computer Interaction. 21:C. (37-53). Online publication date: 1-Sep-2019.

    https://doi.org/10.1016/j.ijcci.2019.04.002

  • Sarsenbayeva Z, van Berkel N, Hettiachchi D, Jiang W, Dingler T, Velloso E, Kostakos V and Goncalves J. (2019). Measuring the Effects of Stress on Mobile Interaction. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 3:1. (1-18). Online publication date: 29-Mar-2019.

    https://doi.org/10.1145/3314411

  • Larmuseau C, Vanneste P, Desmet P and Depaepe F. Multichannel data for understanding cognitive affordances during complex problem solving. Proceedings of the 9th International Conference on Learning Analytics & Knowledge. (61-70).

    https://doi.org/10.1145/3303772.3303778

  • Jussila J, Venho N, Salonius H, Moilanen J, Liukkonen J and Rinnetmäki M. Towards ecosystem for research and development of electrodermal activity applications. Proceedings of the 22nd International Academic Mindtrek Conference. (79-87).

    https://doi.org/10.1145/3275116.3275141

  • Jacob S, Ishimaru S and Dengel A. Interest Detection While Reading Newspaper Articles by Utilizing a Physiological Sensing Wristband. Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers. (78-81).

    https://doi.org/10.1145/3267305.3267666

  • Schmidt P, Reiss A, Duerichen R, Marberger C and Van Laerhoven K. Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection. Proceedings of the 20th ACM International Conference on Multimodal Interaction. (400-408).

    https://doi.org/10.1145/3242969.3242985

  • Yao Y, Qian Z, Su B, Jin Z and Tang T. Skin Conductance as an In Situ Marker for the Degree of Concentration in a First Person Shooting Training Game. Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence. (36-43).

    https://doi.org/10.1145/3243250.3243256

  • Zhang X, Lyu Y, Luo X, Zhang J, Yu C, Yin H and Shi Y. (2018). Touch Sense. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 2:2. (1-18). Online publication date: 5-Jul-2018.

    https://doi.org/10.1145/3214290

  • Sridhar P, Chan S and Nanayakkara S. Going beyond performance scores. Proceedings of the 17th ACM Conference on Interaction Design and Children. (253-265).

    https://doi.org/10.1145/3202185.3202739

  • Hänsel K, Poguntke R, Haddadi H, Alomainy A and Schmidt A. What to Put on the User. Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. (1-14).

    https://doi.org/10.1145/3173574.3173719

  • Garzotto F, Messina N, Matarazzo V, Moskwa L, Oliva G and Facchini R. Empowering Interventions for Persons with Neurodevelopmental Disorders through Wearable Virtual Reality and Bio-sensors. Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems. (1-6).

    https://doi.org/10.1145/3170427.3188636

  • Jati A, Williams P, Baucom B and Georgiou P. Towards Predicting Physiology from Speech During Stressful Conversations: Heart Rate and Respiratory Sinus Arrhythmia. 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). (4944-4948).

    https://doi.org/10.1109/ICASSP.2018.8461500

  • Saitis C, Parvez M, Kalimeri K and Gu T. (2018). Cognitive Load Assessment from EEG and Peripheral Biosignals for the Design of Visually Impaired Mobility Aids. Wireless Communications & Mobile Computing. 2018. Online publication date: 1-Jan-2018.

    https://doi.org/10.1155/2018/8971206

  • Nourbakhsh N, Chen F, Wang Y and Calvo R. (2017). Detecting Users’ Cognitive Load by Galvanic Skin Response with Affective Interference. ACM Transactions on Interactive Intelligent Systems. 7:3. (1-20). Online publication date: 30-Sep-2017.

    https://doi.org/10.1145/2960413

  • Balters S, Sibi S, Johns M, Steinert M and Ju W. Learning-by-Doing. Proceedings of the 9th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. (134-143).

    https://doi.org/10.1145/3122986.3123006

  • Jung Y and Yoon Y. (2017). Multi-level assessment model for wellness service based on human mental stress level. Multimedia Tools and Applications. 76:9. (11305-11317). Online publication date: 1-May-2017.

    https://doi.org/10.1007/s11042-016-3444-9

  • Visnovcova Z, Mestanik M, Gala M, Mestanikova A and Tonhajzerova I. (2016). The complexity of electrodermal activity is altered in mental cognitive stressors. Computers in Biology and Medicine. 79:C. (123-129). Online publication date: 1-Dec-2016.

    https://doi.org/10.1016/j.compbiomed.2016.10.014

  • Cowley B, Filetti M, Lukander K, Torniainen J, Henelius A, Ahonen L, Barral O, Kosunen I, Valtonen T, Huotilainen M, Ravaja N and Jacucci G. (2016). The Psychophysiology Primer. Foundations and Trends in Human-Computer Interaction. 9:3-4. (151-308). Online publication date: 3-Nov-2016.

    https://doi.org/10.1561/1100000065

  • Kalimeri K and Saitis C. Exploring multimodal biosignal features for stress detection during indoor mobility. Proceedings of the 18th ACM International Conference on Multimodal Interaction. (53-60).

    https://doi.org/10.1145/2993148.2993159

  • Cacace J, Caccavale R, Finzi A and Lippiello V. Attentional multimodal interface for multidrone search in the Alps. 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC). (001178-001183).

    https://doi.org/10.1109/SMC.2016.7844401

  • Kim S and Dey A. (2016). Augmenting human senses to improve the user experience in cars. Multimedia Tools and Applications. 75:16. (9587-9607). Online publication date: 1-Aug-2016.

    https://doi.org/10.1007/s11042-015-2712-4

  • Durkee K, Hiriyanna A, Pappada S, Feeney J and Galster S. Multi-model Approach to Human Functional State Estimation. Proceedings, Part I, 10th International Conference on Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience - Volume 9743. (188-197).

    https://doi.org/10.1007/978-3-319-39955-3_18

  • Müller S and Fritz T. Using (bio)metrics to predict code quality online. Proceedings of the 38th International Conference on Software Engineering. (452-463).

    https://doi.org/10.1145/2884781.2884803

  • Ahmed B, Khan H, Choi J and Gutierrez-Osuna R. (2016). ReBreathe: A Calibration Protocol that Improves Stress/Relax Classification by Relabeling Deep Breathing Relaxation Exercises. IEEE Transactions on Affective Computing. 7:2. (150-161). Online publication date: 1-Apr-2016.

    https://doi.org/10.1109/TAFFC.2015.2459682

  • Sejdić E, Millecamps A, Teoli J, Rothfuss M, Franconi N, Perera S, Jones A, Brach J and Mickle M. (2015). Assessing interactions among multiple physiological systems during walking outside a laboratory. Computer Methods and Programs in Biomedicine. 122:3. (450-461). Online publication date: 1-Dec-2015.

    https://doi.org/10.1016/j.cmpb.2015.08.012

  • Garcia-Mancilla J and Gonzalez V. Stress Quantification Using a Wearable Device for Daily Feedback to Improve Stress Management. Revised Selected Papers of the International Conference on Smart Health - Volume 9545. (204-209).

    https://doi.org/10.1007/978-3-319-29175-8_19

  • Blanchard N, Bixler R, Joyce T and D'Mello S. Automated Physiological-Based Detection of Mind Wandering during Learning. 12th International Conference on Intelligent Tutoring Systems - Volume 8474. (55-60).

    https://doi.org/10.1007/978-3-319-07221-0_7

  • Fritz T, Begel A, Müller S, Yigit-Elliott S and Züger M. Using psycho-physiological measures to assess task difficulty in software development. Proceedings of the 36th International Conference on Software Engineering. (402-413).

    https://doi.org/10.1145/2568225.2568266

  • Hernandez J, Paredes P, Roseway A and Czerwinski M. Under pressure. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. (51-60).

    https://doi.org/10.1145/2556288.2557165

  • Alam M, Cho E, Huh E and Hong C. Cloud based mental state monitoring system for suicide risk reconnaissance using wearable bio-sensors. Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication. (1-6).

    https://doi.org/10.1145/2557977.2558020

  • Conway D, Dick I, Li Z, Wang Y and Chen F. The Effect of Stress on Cognitive Load Measurement. 14th IFIP TC 13 International Conference on Human-Computer Interaction --- INTERACT 2013 - Volume 8120. (659-666).

    https://doi.org/10.1007/978-3-642-40498-6_58

  • Giakoumis D, Tzovaras D and Hassapis G. (2013). Subject-dependent biosignal features for increased accuracy in psychological stress detection. International Journal of Human-Computer Studies. 71:4. (425-439). Online publication date: 1-Apr-2013.

    https://doi.org/10.1016/j.ijhcs.2012.10.016

  • Wang W, Li Z, Wang Y and Chen F. Indexing cognitive workload based on pupillary response under luminance and emotional changes. Proceedings of the 2013 international conference on Intelligent user interfaces. (247-256).

    https://doi.org/10.1145/2449396.2449428

  • Cinaz B, Arnrich B, Marca R and Tröster G. (2013). Monitoring of mental workload levels during an everyday life office-work scenario. Personal and Ubiquitous Computing. 17:2. (229-239). Online publication date: 1-Feb-2013.

    https://doi.org/10.1007/s00779-011-0466-1

  • Kappeler-Setz C, Gravenhorst F, Schumm J, Arnrich B and Tröster G. (2013). Towards long term monitoring of electrodermal activity in daily life. Personal and Ubiquitous Computing. 17:2. (261-271). Online publication date: 1-Feb-2013.

    https://doi.org/10.1007/s00779-011-0463-4

  • Nourbakhsh N, Wang Y, Chen F and Calvo R. Using galvanic skin response for cognitive load measurement in arithmetic and reading tasks. Proceedings of the 24th Australian Computer-Human Interaction Conference. (420-423).

    https://doi.org/10.1145/2414536.2414602

  • Merino M, Gómez I, Molina A and Guzman K. Assessment of biosignals for managing a virtual keyboard. Proceedings of the 13th international conference on Computers Helping People with Special Needs - Volume Part II. (331-337).

    https://doi.org/10.1007/978-3-642-31534-3_50

  • Ayzenberg Y, Hernandez Rivera J and Picard R. FEEL. CHI '12 Extended Abstracts on Human Factors in Computing Systems. (2357-2362).

    https://doi.org/10.1145/2212776.2223802

  • Novak D, Mihelj M and Munih M. (2012). A survey of methods for data fusion and system adaptation using autonomic nervous system responses in physiological computing. Interacting with Computers. 24:3. (154-172). Online publication date: 1-May-2012.

    https://doi.org/10.1016/j.intcom.2012.04.003

  • Hernandez J, Morris R and Picard R. Call center stress recognition with person-specific models. Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part I. (125-134).

    /doi/10.5555/2062780.2062798

  • Wang J, Lin C and Yang Y. Using heart rate variability parameter-based feature transformation algorithm for driving stress recognition. Proceedings of the 7th international conference on Advanced Intelligent Computing. (532-537).

    https://doi.org/10.1007/978-3-642-24728-6_72

  • Maglaveras N, Bonato P and Tamura T. (2010). Guest editorial. IEEE Transactions on Information Technology in Biomedicine. 14:2. (360-363). Online publication date: 1-Mar-2010.

    https://doi.org/10.1109/TITB.2010.2044110