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Maryam Alimardani
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2020 – today
- 2024
- [j4]Katarzyna Kleczek, Andra Rice, Maryam Alimardani:
Robots as Mental Health Coaches: A Study of Emotional Responses to Technology-Assisted Stress Management Tasks Using Physiological Signals. Sensors 24(13): 4032 (2024) - [c42]Anita Vrins, Ethel Pruss, Caterina Ceccato, Jos Prinsen, Alwin de Rooij, Maryam Alimardani, Jan de Wit:
Wizard-of-Oz vs. GPT-4: A Comparative Study of Perceived Social Intelligence in HRI Brainstorming. HRI (Companion) 2024: 1090-1094 - [c41]Evy van Weelden, Carl W. E. van Beek, Maryam Alimardani, Travis J. Wiltshire, Wietse D. Ledegang, Eric L. Groen, Max M. Louwerse:
A Passive Brain-Computer Interface for Predicting Pilot Workload in Virtual Reality Flight Training. ICHMS 2024: 1-6 - [c40]Maryam Alimardani, Guido Morera, Alexandra Hering:
Virtual Day: A VR Game for Evaluation of Prospective Memory in Older Adults. VR Workshops 2024: 963-964 - [i10]Fred Atilla, Marie Postma, Maryam Alimardani:
Gamification of Motor Imagery Brain-Computer Interface Training Protocols: a systematic review. CoRR abs/2407.04610 (2024) - 2023
- [j3]Maryam Alimardani, Jesse L. P. Duret, Anne-Lise Jouen, Kazuo Hiraki:
Social robots as effective language tutors for children: empirical evidence from neuroscience. Frontiers Neurorobotics 17 (2023) - [j2]Mariacarla Staffa, Lorenzo D'Errico, Simone Sansalone, Maryam Alimardani:
Classifying human emotions in HRI: applying global optimization model to EEG brain signals. Frontiers Neurorobotics 17 (2023) - [c39]Caterina Ceccato, Ethel Pruss, Anita Vrins, Jos Prinsen, Maryam Alimardani:
BrainiBeats: A dual brain-computer interface for musical composition using inter-brain synchrony and emotional valence. CHI Extended Abstracts 2023: 56:1-56:7 - [c38]Laura Josephine Hagedorn, Alwin de Rooij, Maryam Alimardani:
Virtual Reality and Creativity: How do Immersive Environments Stimulate the Brain during Creative Idea Generation? CHI Extended Abstracts 2023: 308:1-308:7 - [c37]Aurea Bravo Perucho, Maryam Alimardani:
Social Robots in Secondary Education: Can Robots Assist Young Adult Learners with Math Learning? HRI (Companion) 2023: 355-359 - [c36]Hamzah Ziadeh, Caterina Ceccato, Jos Prinsen, Ethel Pruss, Anita Vrins, Hendrik Knoche, Maryam Alimardani:
"Feeling Unseen": Exploring the Impact of Adaptive Social Robots on User's Social Agency During Learning. HRI (Companion) 2023: 378-383 - [c35]Nikki Leeuwis, Tom van Bommel, Maryam Alimardani:
Evaluative Conditioning in Consumer Psychology: Can Affective Images of Climate Change Influence Sustainability Perception of Supermarket Products? PERSUASIVE 2023: 90-104 - [c34]Ethel Pruss, Jos Prinsen, Caterina Ceccato, Anita Vrins, Hamzah Ziadeh, Hendrik Knoche, Maryam Alimardani:
Restoring Engagement in Human-Robot Interaction: A Brain-Computer Interface for Adaptive Learning with Robots. SMC 2023: 3247-3252 - [c33]Takahiro Morita, Liang Zhang, Atsushi Nagate, Maryam Alimardani, Shuichi Nishio:
Classification of Audience Comprehension During Math Presentations Using EEG Brain Activity. SMC 2023: 3801-3808 - [c32]Andra Rice, Katarzyna Kleczek, Maryam Alimardani:
The Effectiveness of Social Robots in Stress Management Interventions for University Students. ICSR (1) 2023: 181-190 - [i9]Maryam Alimardani, Steven Kocken, Nikki Leeuwis:
End-to-End Deep Transfer Learning for Calibration-free Motor Imagery Brain Computer Interfaces. CoRR abs/2307.12827 (2023) - [i8]Anita Vrins, Ethel Pruss, Caterina Ceccato, Jos Prinsen, Maryam Alimardani:
Investigating the Impact of a Dual Musical Brain-Computer Interface on Interpersonal Synchrony: A Pilot Study. CoRR abs/2309.02079 (2023) - [i7]Evy van Weelden, Carl W. E. van Beek, Maryam Alimardani, Travis J. Wiltshire, Wietse D. Ledegang, Eric L. Groen, Max M. Louwerse:
Differentiating Workload using Pilot's Stick Input in a Virtual Reality Flight Task. CoRR abs/2309.09619 (2023) - 2022
- [c31]Maryam Alimardani, Diana-Eliza Gherman:
Individual Differences in Motor Imagery BCIs: a Study of Gender, Mental States and Mu Suppression. BCI 2022: 1-7 - [c30]Ethel Pruss, Jos Prinsen, Anita Vrins, Caterina Ceccato, Maryam Alimardani:
A BCI-controlled Robot Assistant for Navigation and Object Manipulation in a VR Smart Home Environment. BIODEVICES 2022: 231-237 - [c29]Andreas Knoben, Maryam Alimardani, Arash Saghafi, Amin K. Amiri:
Cognitive Workload Associated with Different Conceptual Modeling Approaches in Information Systems. HCI (38) 2022: 156-163 - [c28]Maryam Alimardani, Jesse L. P. Duret, Anne-Lise Jouen, Kazuo Hiraki:
Robot-Assisted Language Learning Increases Functional Connectivity in Children's Brain. HRI 2022: 674-677 - [c27]Guido M. Linders, Julija Vaitonyte, Maryam Alimardani, Kiril O. Mitev, Max M. Louwerse:
A realistic, multimodal virtual agent for the healthcare domain. IVA 2022: 37:1-37:3 - [c26]Maryam Alimardani, Jishnu Harinandansingh, Lindsey Ravin, Mirjam de Haas:
Motivational Gestures in Robot-Assisted Language Learning: A Study of Cognitive Engagement using EEG Brain Activity. RO-MAN 2022: 1393-1398 - [c25]Jos Prinsen, Ethel Pruss, Anita Vrins, Caterina Ceccato, Maryam Alimardani:
A Passive Brain-Computer Interface for Monitoring Engagement during Robot-Assisted Language Learning. SMC 2022: 1967-1972 - [c24]Anita Vrins, Ethel Pruss, Jos Prinsen, Caterina Ceccato, Maryam Alimardani:
Are You Paying Attention? The Effect of Embodied Interaction with an Adaptive Robot Tutor on User Engagement and Learning Performance. ICSR (2) 2022: 135-145 - [i6]Andreas Knoben, Maryam Alimardani, Arash Saghafi, Amin K. Amiri:
Cognitive Workload Associated with Different Conceptual Modeling Approaches in Information Systems. CoRR abs/2203.12342 (2022) - 2021
- [c23]Maryam Alimardani, Mory Kaba:
Deep Learning for Neuromarketing; Classification of User Preference using EEG Signals. AH 2021: 2:1-2:7 - [c22]Maryam Alimardani, Guido de Moor:
Automatic Classification of Sleep Apnea Type and Severity using EEG Signals. BIODEVICES 2021: 121-128 - [c21]Maryam Alimardani, Lisa Neve, Anouk Verkaart:
Storytelling Robots for Training of Emotion Recognition in Children with Autism; Opinions from Experts. HCI (44) 2021: 223-233 - [c20]Sue Yoon, Maryam Alimardani, Kazuo Hiraki:
The Effect of Robot-Guided Meditation on Intra-Brain EEG Phase Synchronization. HRI (Companion) 2021: 318-322 - [c19]Fred Atilla, Maryam Alimardani:
EEG-based Classification of Drivers Attention using Convolutional Neural Network. ICHMS 2021: 1-4 - [c18]Bram van den Berg, Sander van Donkelaar, Maryam Alimardani:
Inner Speech Classification using EEG Signals: A Deep Learning Approach. ICHMS 2021: 1-4 - [c17]Evy van Weelden, Maryam Alimardani, Travis J. Wiltshire, Max M. Louwerse:
Advancing the Adoption of Virtual Reality and Neurotechnology to Improve Flight Training. ICHMS 2021: 1-4 - [c16]Laura J. Hagedorn, Nikki Leeuwis, Maryam Alimardani:
Prediction of Inefficient BCI Users Based on Cognitive Skills and Personality Traits. ICONIP (6) 2021: 81-89 - [c15]Maryam Alimardani, Stephanie van den Braak, Anne-Lise Jouen, Reiko Matsunaka, Kazuo Hiraki:
Assessment of Engagement and Learning During Child-Robot Interaction Using EEG Signals. ICSR 2021: 671-682 - [i5]Fred Atilla, Maryam Alimardani:
EEG-based Classification of Drivers Attention using Convolutional Neural Network. CoRR abs/2108.10062 (2021) - 2020
- [j1]Maryam Alimardani, Kazuo Hiraki:
Passive Brain-Computer Interfaces for Enhanced Human-Robot Interaction. Frontiers Robotics AI 7: 125 (2020) - [c14]Lotte E. J. Biesmans, Pleun J. M. van Hees, Lisa E. Rombout, Maryam Alimardani, Eriko Fukuda:
The Effects of Ingroup Bias on Public Speaking Anxiety in Virtual Reality. VISIGRAPP (2: HUCAPP) 2020: 17-24 - [c13]Jarno Vrolijk, Maryam Alimardani:
Classification of Noisy Epileptic EEG Signals Using Fortified Long Short-term Memory Network. ICBBT 2020: 145-150 - [c12]Andrea Kuijt, Maryam Alimardani:
Prediction of Human Empathy based on EEG Cortical Asymmetry. ICHMS 2020: 1-5 - [c11]Pieter A. Blomsma, Julija Vaitonyte, Maryam Alimardani, Max M. Louwerse:
Spontaneous Facial Behavior Revolves Around Neutral Facial Displays. IVA 2020: 8:1-8:8 - [c10]Maryam Alimardani, Linda Kemmeren, Kazuki Okumura, Kazuo Hiraki:
Robot-Assisted Mindfulness Practice: Analysis of Neurophysiological Responses and Affective State Change. RO-MAN 2020: 683-689 - [c9]Nikki Leeuwis, Maryam Alimardani:
High Aptitude Motor-Imagery BCI Users Have Better Visuospatial Memory. SMC 2020: 1518-1523 - [c8]Melissa Kont, Maryam Alimardani:
Engagement and Mind Perception Within Human-Robot Interaction: A Comparison Between Elderly and Young Adults. ICSR 2020: 344-356 - [i4]Maryam Alimardani, Annabella Hermans, Angelica M. Tinga:
Assessment of Empathy in an Affective VR Environment using EEG Signals. CoRR abs/2003.10886 (2020) - [i3]Andrea Kuijt, Maryam Alimardani:
Prediction of Human Empathy based on EEG Cortical Asymmetry. CoRR abs/2005.02824 (2020) - [i2]Maryam Alimardani, Linda Kemmeren, Kazuki Okumura, Kazuo Hiraki:
Robot-Assisted Mindfulness Practice: Analysis of Neurophysiological Responses and Affective State Change. CoRR abs/2008.05305 (2020) - [i1]Nikki Leeuwis, Maryam Alimardani:
High Aptitude Motor Imagery BCI Users Have Better Visuospatial Memory. CoRR abs/2010.02026 (2020)
2010 – 2019
- 2019
- [c7]Ngoc N. T. Doan, Andrius Penkauskas, Ecaterina Grigoriev, Lisa E. Rombout, Paris Mavromoustakos Blom, Maryam Alimardani, Martin Atzmueller:
Towards Multimodal Characterization of Dialogic Moments on Social Group Face-to-Face Interaction. AfCAI 2019 - [c6]Dylan M. Tjon, Angelica M. Tinga, Maryam Alimardani, Max M. Louwerse:
Brain Activity Reflects Sense of Presence in 360° Video for Virtual Reality. ISD 2019 - [c5]Julija Vaitonyte, Pieter A. Blomsma, Maryam Alimardani, Max M. Louwerse:
Generating Facial Expression Data: Computational and Experimental Evidence. IVA 2019: 94-96 - [c4]Maryam Alimardani, Sonia Qurashi:
Mind Perception of a Sociable Humanoid Robot: A Comparison Between Elderly and Young Adults. ROBOT (2) 2019: 96-108 - [c3]Lizzy Sinnema, Maryam Alimardani:
The Attitude of Elderly and Young Adults Towards a Humanoid Robot as a Facilitator for Social Interaction. ICSR 2019: 24-33 - 2018
- [c2]Maryam Alimardani, Soheil Keshmiri, Hidenobu Sumioka, Kazuo Hiraki:
Classification of EEG signals for a hypnotrack BCI system. IROS 2018: 240-245 - 2014
- [c1]Maryam Alimardani, Shuichi Nishio, Hiroshi Ishiguro:
The effect of feedback presentation on motor imagery performance during BCI-teleoperation of a humanlike robot. BioRob 2014: 403-408
Coauthor Index
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last updated on 2024-08-23 18:31 CEST by the dblp team
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