Maryam Alimardani

Research output

Research output per year 2018 2020 2021 2022

• 10 Paper
• 9 Conference contribution
• 9 Article
• 6 Chapter
• 2 More
  • 1 Review article
  • 1 Data set/Database

Research output per year

Research output per year

Search results

• 2022

  A framework for application of consumer neuroscience in pro-environmental behavior change interventions

  Leeuwis, N., van Bommel, T. & Alimardani, M., 15 Sep 2022, In: Frontiers in Human Neuroscience. 16, 23 p., 886600.

  Research output: Contribution to journal › Review article › Scientific › peer-review

  • Neurosciences 100%
  • Consumer Behavior 44%
  • Reward 40%
  • Climate Change 28%
  • Social Values 15%
• 2021

  Advancing the Adoption of Virtual Reality and Neurotechnology to Improve Flight Training

  van Weelden, E., Alimardani, M., Wiltshire, T. & Louwerse, M., 2021, 2021 IEEE 2nd International Conference on Human-Machine Systems (ICHMS). IEEE

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  • Virtual reality 100%
  • Aviation 24%
  • Education 10%
  • Feedback 7%
  • Industry 5%

• Assessment of Engagement and Learning During Child-Robot Interaction Using EEG Signals

  Alimardani, M., van den Braak, S., Jouen, A-L., Matsunaka, R. & Hiraki, K., 2021, p. 671-682.

  Research output: Contribution to conference › Paper › Scientific › peer-review

  Open Access

• Automatic Classification of Sleep Apnea Type and Severity using EEG Signals

  Alimardani, M. & de Moor, G., 2021, SCITEPRESS. p. 121-128

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

• Deep Learning for Neuromarketing; Classification of User Preference using EEG Signals

  Alimardani, M. & Kaba, M., May 2021, Proceedings of the 12th Augmented Human International Conference, AH 2021. p. 1-7 3460930. (ACM International Conference Proceeding Series).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  Open Access

  • Electroencephalography 100%
  • Deep learning 92%
  • Machine learning 57%
  • Convolutional neural networks 47%
  • Brain 42%

• EEG-based Classification of Drivers Attention using Convolutional Neural Network

  Atilla, F. & Alimardani, M., 2021.

  Research output: Contribution to conference › Paper › Scientific › peer-review

  • Electroencephalography 100%
  • Convolutional neural networks 94%
  • Brain computer interface 47%
  • Feedback 39%
  • Brain 34%

• Functional Connectivity Analysis in Motor Imagery Brain Computer Interfaces

  Leeuwis, N., Yoon, S. & Alimardani, M., 2021, In: Frontiers in Human Neuroscience. 15, 732946

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  • Brain-Computer Interfaces 100%
  • Sensorimotor Cortex 45%
  • Brain 36%
  • Hand 28%
  • Psychology 25%

• Functional Connectivity Analysis in Motor-Imagery Brain Computer Interfaces

  Leeuwis, N., Yoon, S. & Alimardani, M., 15 Oct 2021, In: Frontiers in Human Neuroscience. 15, 13 p., 732946.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  • Brain-Computer Interfaces 100%
  • Sensorimotor Cortex 45%
  • Brain 36%
  • Hand 28%
  • Psychology 25%

• Inner Speech Classification using EEG Signals: A Deep Learning Approach

  van den Berg, B., van Donkelaar, S. & Alimardani, M., 2021.

  Research output: Contribution to conference › Paper › Scientific › peer-review

  • Electroencephalography 100%
  • Deep learning 92%
  • Bioelectric potentials 89%
  • Brain computer interface 79%
  • Convolutional neural networks 31%

• Prediction of Inefficient BCI Users based on Cognitive Skills and Personality Traits

  Hagedorn, L. & Alimardani, M., Dec 2021.

  Research output: Contribution to conference › Paper › Scientific › peer-review

  Open Access

  • Brain-Computer Interfaces 100%
  • Personality 66%
  • Linear Models 28%
  • Memory 27%
  • Spatial Navigation 24%

• Psychological and cognitive factors in motor imagery brain computer interfaces

  Leeuwis, N., Paas, A. & Alimardani, M., 2021

  Research output: Online publication or Non-textual form › Data set/Database › Other research output

  Open Access

• Realism of the face lies in skin and eyes: Evidence from virtual and human agents

  Vaitonyte, J., Blomsma, P., Alimardani, M. & Louwerse, M., 2021, In: Computers in Human Behavior Reports.

  Research output: Contribution to journal › Article › Scientific › peer-review

• Storytelling Robots for Training of Emotion Recognition in Children with Autism; Opinions from Experts

  Alimardani, M., Neve, L. & Verkaart, A., 2021, International Conference on Human-Computer Interaction. Springer, p. 223-233

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

  • Gestures 100%
  • Expert Testimony 80%
  • Autistic Disorder 77%
  • Psychology Recognition 68%
  • Emotions 61%

• The Effect of Robot-Guided Meditation on Intra-Brain EEG Phase Synchronization

  Yoon, S., Alimardani, M. & Hiraki, K., 8 Mar 2021, ACM. p. 318-322

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

• Validating EEG biomarkers in Virtual Reality and Desktop Flight Training

  van Weelden, E., Wiltshire, T., Alimardani, M. & Louwerse, M., 2021, Neuroergonomics conference 2021.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  Open Access

• Vividness of Visual Imagery and Personality Impact Motor-Imagery Brain Computer Interfaces

  Leeuwis, N., Paas, A. & Alimardani, M., 6 Apr 2021, In: Frontiers in Human Neuroscience. 15, 16 p., 634748.

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  • Brain-Computer Interfaces 100%
  • Personality 66%
  • Imagination 14%
  • Psychology 14%
  • Spatial Navigation 13%
• 2020

  Classification of Noisy Epileptic EEG Signals Using Fortified Long Short-term Memory Network

  Vrolijk, J. & Alimardani, M., 2020, p. 145-150.

  Research output: Contribution to conference › Paper › Other research output

• Engagement and Mind Perception Within Human-Robot Interaction: A Comparison Between Elderly and Young Adults

  Kont, M. & Alimardani, M., 2020, p. 344-356.

  Research output: Contribution to conference › Paper › Other research output

• Exhausted parents in Japan: Preliminary validation of the Japanese version of the Parental Burnout Assessment: Preliminary validation of the Japanese version of the Parental Burnout Assessment

  Furutani, K., Kawamoto, T., Alimardani, M. & Nakashima, K., 2020, In: New Directions for Child and Adolescent Development . 2020, 174, p. 33-49

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

• High Aptitude Motor-Imagery BCI Users Have Better Visuospatial Memory

  Leeuwis, N. & Alimardani, M., 2020, p. 1518-1523.

  Research output: Contribution to conference › Paper › Other research output

  Open Access

• Higher hypnotic suggestibility is associated with the lower EEG signal variability in theta, alpha, and beta frequency bands

  Keshimiri, S., Alimardani, M., Shiomi, M., Sumioka, H., Ishiguro, H. & Hiraki, K., 2020, In: PLOS ONE. 15, 4

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

• Passive Brain-Computer Interfaces for Enhanced Human-Robot Interaction

  Alimardani, M. & Hiraki, K., 2020, In: Frontiers in Robotics and AI. 7, 125

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access

  • Human robot interaction 100%
  • Brain computer interface 98%
  • Brain 30%
  • Intelligent systems 12%
  • Modulation 9%

• Prediction of Human Empathy based on EEG Cortical Asymmetry

  Kuijt, A. & Alimardani, M., 2020, p. 1-5.

  Research output: Contribution to conference › Paper › Other research output

  Open Access

• Robot-Assisted Mindfulness Practice: Analysis of Neurophysiological Responses and Affective State Change

  Alimardani, M., Kemmeren, L., Okumura, K. & Hiraki, K., 2020, p. 683-689.

  Research output: Contribution to conference › Paper › Other research output

  Open Access

• Spontaneous Facial Behavior Revolves Around Neutral Facial Displays

  Blomsma, P. A., Vaitonyte, J., Alimardani, M. & Louwerse, M. M., 20 Oct 2020, Spontaneous Facial Behavior Revolves Around Neutral Facial Displays. Association for Computing Machinery (ACM), p. 1-8 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

• The Effects of Ingroup Bias on Public Speaking Anxiety in Virtual Reality

  Biesmans, L. EJ., van Hees, P. JM., Rombout, L., Alimardani, M. & Fukuda, E., 2020, p. 17-24.

  Research output: Contribution to conference › Paper › Other research output

  Open Access
• 2019

  Brain Activity Reflects Sense of Presence in 360° Video for Virtual Reality

  Tjon, D., Tinga, A., Alimardani, M. & Louwerse, M., 2019, Proceedings of the 28th International Conference on Information Systems Development.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  • Virtual reality 100%
  • Brain 94%
  • User experience 32%
  • Electroencephalography 31%
  • Imaging techniques 12%

• Generating Facial Expression Data: Computational and Experimental Evidence

  Vaitonyte, J., Blomsma, P. A., Alimardani, M. & Louwerse, M. M., 1 Jul 2019, IVA 2019 - Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents. Association for Computing Machinery, Inc, p. 94-96 3 p. (IVA 2019 - Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

  Open Access

  • Markov processes 100%
  • Machine learning 69%
  • Availability 67%

• Mind Perception of a Sociable Humanoid Robot: A Comparison Between Elderly and Young Adults

  Alimardani, M. & Qurashi, S., 2019, Robot 2019: Fourth Iberian Robotics Conference . Silva, M. F., Lima, J. L., Reis, L. P., Sanfeliu, A. & Tardioli, D. (eds.). Springer, p. 96-108

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

• The Attitude of Elderly and Young Adults Towards a Humanoid Robot as a Facilitator for Social Interaction

  Sinnema, L. & Alimardani, M., 2019, International Conference on Social Robotics. Salichs, M. A., Ge, S. S., Barakova, E. I., Cabibihan, J. J., Wagner, A. R., Castro-Gonzalez, A. & He, H. (eds.). Springer, p. 24-33

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
• 2018

  Adjusting Brain Activity with Body Ownership Transfer

  Alimardani, M., Nishio, S. & Ishiguro, H., 2018, Geminoid Studies: Science and Technologies for Humanlike Teleoperated Androids. Ishiguro, H. & Dalla Libera, F. (eds.). Springer

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

• Android Feedback-Based Training Modulates Sensorimotor Rhythms During Motor Imagery

  Penaloza, C. I., Alimardani, M. & Nishio, S., Mar 2018, In: IEEE Transactions on Neural Systems and Rehabilitation Engineering.

  Research output: Contribution to journal › Article › Scientific › peer-review

  • Brain-Computer Interfaces 100%
  • Brain computer interface 84%
  • Feedback 46%
  • Electroencephalography 35%
  • Sensory Feedback 30%

• Brain-Computer Interface and Motor Imagery Training: The Role of Visual Feedback and Embodiment

  Alimardani, M., Nishio, S. & Ishiguro, H., 17 Oct 2018, Evolving BCI Therapy: Engaging Brain State Dynamics. Larrivee, D. (ed.). IntechOpen

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

  1 Citation (Scopus)

• Classification of EEG signals for a hypnotrack BCI system

  Alimardani, M., Keshimiri, S., Sumioka, H. & Hiraki, K., 1 Oct 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

  5 Citations (Scopus)

• Exploring Minimal Requirement for Body Ownership Transfer by Brain–Computer Interface

  Alimardani, M., Nishio, S. & Ishiguro, H., 2018, Geminoid Studies: Science and Technologies for Humanlike Teleoperated Androids. Ishiguro, H. & Dalla Libera, F. (eds.). Springer

  Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

  1 Citation (Scopus)

• Preliminary validation of Japanese version of the Parental Burnout Inventory and its relationship with perfectionism

  Kawamoto, T., Furutani, K. & Alimardani, M., 2018, In: Frontiers in Psychology. 9

  Research output: Contribution to journal › Article › Scientific › peer-review

  Open Access
  23 Citations (Scopus)