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📑 Publications

Full list of publications on Google Scholar

2024

Ulrichs J, Matviienko A, Quintero L,. Effects of Third-Person Locomotion Techniques on Sense of Embodiment in Virtual Reality. ACM Mobile and Ubiquitous Multimedia (MUM) https://doi.org/10.1145/3701571.3701598

Stepanova Ekaterina, …, Quintero L, … et al., Envisioning Ubiquitous Biosignal Interaction with Multimedia. ACM Mobile and Ubiquitous Multimedia (MUM) https://doi.org/10.1145/3701571.3701609

Dodieva M, Quintero L ,. Comparing Early-Stage Symptoms of Spatial Disorientation Between Virtual Reality Navigation and Paper-Based MoCA Test. ACM Mobile and Ubiquitous Multimedia (MUM) https://doi.org/10.1145/3701571.3703380

Ekman J, Solsona J, Quintero L,. Codeseum: Learning Introductory Programming Concepts through Virtual Reality Puzzles. ACM Interactive Media Experiences (IMX) https://doi.org/10.1145/3639701.3656306

Gnacek M, Quintero L, Mavridou I et al. AVDOS-VR: Affective Video Database with Physiological Signals and Continuous Ratings Collected Remotely in VR. Nature Scientific Data https://doi.org/10.1038/s41597-024-02953-6

2023

[PhD Thesis] Quintero, L. User Modeling for Adaptive Virtual Reality Experiences: Personalization from Behavioral and Physiological Time Series. Stockholm University, Department of Computer and Systems Sciences.
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Quintero L, Fors U, and Papapetrou P. Personalized Feature Importance Ranking for Affect Recognition From Behavioral and Physiological Data. IEEE Transactions on Games. Journal 📖 https://doi.org/10.1109/TG.2023.3263070

[EU Report] Co-author in report for European Commission. Extended reality: opportunities, success stories and challenges (health, education). Publications Office of the European Union https://doi.org/10.2759/121671

2022

Bernsland M, Moshfegh A, Lindén K, Bajin S, Quintero L, Solsona J, and Rostami A. CS:NO – an Extended Reality Experience for Cyber Security Education. ACM International Conference on Interactive Media Experiences (IMX ‘22). 287–292. 2022. https://doi.org/10.1145/3505284.3532971

Quintero L, Papapetrou P, Muñoz JE, De Mooij J, and Gaebler M. Excite-O-Meter: an Open-Source Unity Plugin to Analyze Heart Activity and Movement Trajectories in Custom VR Environments. IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (IEEE VR - Workshops), (virtual). 2022. https://doi.org/10.1109/VRW55335.2022.00017
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2021

Quintero L, Papapetrou P, Hollmén J, Fors U. Effective Classification of Head Motion Trajectories in Virtual Reality using Time-Series Methods. 4th International Conference on Artificial Intelligence and Virtual Reality (AIVR), Taichung, Taiwan (virtual). 2021. https://doi.org/10.1109/AIVR52153.2021.00015
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Quintero L, Muñoz JE, De Mooij J., and Gaebler M. Excite-O-Meter: Software Framework to Integrate Heart Activity in Virtual Reality. 2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Bari, Italy (virtual). 2021. https://doi.org/10.1109/ISMAR52148.2021.00052
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Muñoz JE, Quintero L, Stephens CL and Pope AT. Taxonomy of Physiologically Adaptive Systems and Design Framework. International Conference on Human-Computer Interaction (HCII 2021), Adaptive Instructional Systems, Lecture Notes in Computer Science, pp 559-576. 2021. https://doi.org/10.1007/978-3-030-77857-6_40

2020

Quintero L. Understanding research methodologies when combining virtual reality technology with machine learning techniques . In The 13th PErvasive Technologies Related to Assistive Environments Conference (PETRA’20), Corfu, Greece. ACM, 4 pages. https://doi.org/10.1145/3389189.3394093

Muñoz JE, Quintero L, Stephens CL and Pope AT. A Psychophysiological Model of Firearms Training in Police Officers: A Virtual Reality Experiment for Biocybernetic Adaptation. Frontiers in Psychology. 11:683. 2020. https://doi.org/10.3389/fpsyg.2020.00683 Journal (Open Access) 📖
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2019

Quintero L, Muñoz JE, Papapetrou P. Open-Source Physiological Computing Framework using Heart Rate Variability in Mobile Virtual Reality Applications. 2nd International Conference on Artificial Intelligence and Virtual Reality (AIVR), San Diego, CA, USA. 2019. https://doi.org/10.1109/AIVR46125.2019.00027
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Quintero L, Papapetrou P, Muñoz JE, Fors U. Implementation of Mobile-based Real-time Heart Rate Variability Detection for Personalized Healthcare. Workshop TMDM in IEEE International Conference on Data Mining (ICDMW), Beijing, China. 2019. https://doi.org/10.1109/ICDMW.2019.00123

Muñoz JE, Pope AT, Quintero L.V.. Integrating Biocybernetic Adaptation in Virtual Reality Training Concentration and Calmness in Target Shooting. International Conference on Physiological Computing Systems (PhyCS). 2019. https://doi.org/10.1007/978-3-030-27950-9_12

[Master’s Thesis] Quintero, L. Facilitating Technology-based Mental Health Interventions with Mobile Virtual Reality and Wearable Smartwatches. Karolinska Institutet | Stockholm University. Master’s Programme in Health Informatics.
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2018

Badia, S. B. i, Quintero, L. V., Cameirao, M. S., Chirico, A., Triberti, S., Cipresso, P., & Gaggioli, A. Towards Emotionally-Adaptive Virtual Reality for Mental Health Applications. IEEE Journal of Biomedical and Health Informatics. 2018. https://doi.org/10.1109/JBHI.2018.2878846 Journal (Open Access) 📖
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📝 Teaching

Data Science

  • (2024) Course assistant, 110h, Data Science for Health Informatics (DSHI), 80pp, DSV, SU, Sweden.
  • (2020-2023)Lab: Data Mining with Python, Teaching Assistant, Aug-Oct, 140h, +600pp. Part of the course Data Mining in Computer and Systems Sciences, Stockholm University, Sweden.
  • (2020-2023) Lab: Introduction to Data Mining with Python, Teaching Assistant, Mar-May, 75h, +120pp. Part of the course Data Sciences for Health Informatics, Stockholm University, Sweden.

Digital Media and Immersive Technologies

  • (2024) Course co-responsible, 20h, Design for Complex and Dynamic Contexts (DCDC), 10pp, Stockholm University, Sweden.
  • (2024) Course co-responsible, 100h, Design for Emerging Technologies (DET), 10pp, Stockholm University, Sweden.
  • (2024) Course assistant, 30h, Immersive Environments (IM), 30pp, Stockholm University, Sweden.
  • (2024) Course assistant, 30h, Transmedia, 30pp, Stockholm University, Sweden.
  • (2020-2023) Lab: Building Virtual Reality Apps with Unity, Teaching Assistant, February, 20h. Part of the course Design for Emerging Technologies, Stockholm University, Sweden.

Other Lectures and Seminars

  • (2023) Prototyping Virtual Reality Applications in Unity, Invited Lecturer, Sep, (20h), 20pp. MSc students in Industrial Design, Umeå Institute of Design, Umeå, Sweden
  • (2023) Introduction to Data Analytics and Artificial Intelligence, Invited Lecturer, June, (24h), 25pp. RUAV, Cali, Colombia (virtual)
  • (2016) Microprocessors architecture, Course Leader, Feb-Jun. In BSc in Mechanical Engineering, Caldas University, Colombia.
  • (2016) Application development with Unity, Course Leader, Feb-Jun. Vocational training in Visual Design, Unitécnica Manizales, Colombia.
  • (2016) Introduction to databases, Course Leader, Feb-Jun. Vocational training in Computer Science. Unitécnica Manizales, Colombia.

📜 Thesis Supervision

2024

  • Maria Dodieva, Early detection of Alzheimer disease with the VR City Navigation game, MSc. Design for Immersive Technologies, Stockholm University, Sweden.
  • Johanna Ulrichs, The Virtual Body and Locomotion - Comparing the Effects of Different Locomotion Techniques on Embodiment and User Experience in Third Person Virtual Reality, MSc. Design for Immersive Technologies, Stockholm University, Sweden.
  • Elias Lundahl, Evaluating the impact of passthrough for XR-based meditation experiences, MSc. Design for Immersive Technologies, Stockholm University, Sweden.
  • Hoda Ismail, Exploring the Impact of Virtual Environment Factors on Stress Reduction in VR Meditation, MSc. Design for Immersive Technologies, Stockholm University, Sweden.
  • Aufar Tirta Firdaus, Explainable AI for Emotion Recognition: Interpreting Cardiovascular Data in Virtual Reality Users, MSc. Health Infromatics, Karolinska Institutet, Sweden.
  • Dogu Ziylan Uyar, Evaluating User’s Spatial Learning in Photo-Realistic Virtual Environments during Navigational Tasks in Extended Reality, MSc. Design for Immersive Technologies, Stockholm University, Sweden. (co-supervisor)
  • Siyue Lu, Facilitating Location-Based Mixed Reality: The Applicability, Benefits, and Challenges of 5G Positioning, MSc. Design for Immersive Technologies, Stockholm University, Sweden. (co-supervisor)

2023

  • Helén Han, Treatment Adherence in Digital Psychotherapy - Using Machine Learning to Predict Patient No-shows, MSc. Health Infromatics, Karolinska Institutet, Sweden.
  • Fan Zhang, Exploring the requirements for the design of virtual reality serious games to support people with dementia, MSc. Health Infromatics, Karolinska Institutet, Sweden.
  • Mi Zhang, Exploring how virtual material appearance with control-display ration drives the weight perception in VR within two-handed input, MSc. Design for Immersive Technologies, Stockholm University, Sweden.
  • Johan Ekman, Comparing learners’ engagement of VR and non-VR game for programming purposes, MSc. Design for Immersive Technologies, Stockholm University, Sweden.

2022

  • Daniel Schulze, Explainability of personalized stress detection models from wearable-collectible physiological data, MSc. Health Infromatics, Karolinska Institutet, Sweden. (co-supervisor)
  • Divya Damodaran, Machine Learning for prediction of start and termination of Freezing of Gait in Parkinson’s Disease, MSc. Health Infromatics, Karolinska Institutet, Sweden. (co-supervisor)
  • Yujie Xiang, Understanding Heart Rate Responses to Detect Emotional Valence Using Interpretable Machine Learning, MSc. Health Infromatics, Karolinska Institutet, Sweden. (co-supervisor)

2021

  • Dana Kokey, Towards detecting arousal level from heart rate information in virtual reality 360-degree videos, MSc. Health Informatics, Karolinska Institutet, Sweden. (co-supervisor)
  • Alborz Alipour, Outlier Detection in Stock Market Prediction through Anomaly Detection, MSc. Computer Science and Systems Sciences, Stockholm University, Sweden. (co-supervisor)
  • Samiiha Nalwooga, Knowledge distillation for building accurate plant classification models for mobile devices, MSc. Computer Science and Systems Sciences, Stockholm University, Sweden. (co-supervisor)
  • Mawada Hamad,The trade-off between performance and compression rate when applying knowledge distillation, MSc. Computer Science and Systems Sciences, Stockholm University, Sweden. (co-supervisor)
  • Ali Mussayab, Design requirements for Recruiting Contingent Café Baristas with Immersive Virtual Reality Simulations (IVRS): A design-based research approach, MSc. Design for Creative and Immersive Technologies, Stockholm University, Sweden. (co-supervisor)

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