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1. Performance Monitoring via Functional Near Infrared Spectroscopy for Virtual Reality Based Basic Life Support Training

Author

Emin Aksoy, Kurtulus Izzetoglu, Engin Baysoy, Atahan Agrali, Dilek Kitapcioglu, and Banu Onaral

Subjects
functional near infrared spectroscopy, basic life support, medical training, virtual reality, medical simulator, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

The use of serious game tools in training of medical professions is steadily growing. However, there is a lack of reliable performance assessment methods to evaluate learner’s outcome. The aim of this study is to determine whether functional near infrared spectroscopy (fNIRS) can be used as an additional tool for assessing the learning outcome of virtual reality (VR) based learning modules. The hypothesis is that together with an improvement in learning outcome there would be a decrease in the participants’ cerebral oxygenation levels measured from the prefrontal cortex (PFC) region and an increase of participants’ serious gaming results. To test this hypothesis, the subjects were recruited and divided into four groups with different combinations of prior virtual reality experience and prior Basic Life Support (BLS) knowledge levels. A VR based serious gaming module for teaching BLS and 16-Channel fNIRS system were used to collect data from the participants. Results of the participants’ scores acquired from the serious gaming module were compared with fNIRS measures on the initial and final training sessions. Kruskal Wallis test was run to determine any significant statistical difference between the groups and Mann–Whitney U test was utilized to obtain pairwise comparisons. BLS training scores of the participants acquired from VR based serious game’s the learning management system and fNIRS measurements revealed decrease in use of resources from the PFC, but increase in behavioral performance. Importantly, brain-based measures can provide an additional quantitative metric for trainee’s expertise development and can assist the medical simulation instructors.

Published
2019
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2. Studying Brain Activation during Skill Acquisition via Robot-Assisted Surgery Training

Author

Kurtulus Izzetoglu, Mehmet Emin Aksoy, Atahan Agrali, Dilek Kitapcioglu, Mete Gungor, and Aysun Simsek

Subjects
functional near-infrared spectroscopy, neuroimaging, fNIRS, clinical skill acquisition, robot-assisted surgery, simulation-based training, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571
Abstract

Robot-assisted surgery systems are a recent breakthrough in minimally invasive surgeries, offering numerous benefits to both patients and surgeons including, but not limited to, greater visualization of the operation site, greater precision during operation and shorter hospitalization times. Training on robot-assisted surgery (RAS) systems begins with the use of high-fidelity simulators. Hence, the increasing demand of employing RAS systems has led to a rise in using RAS simulators to train medical doctors. The aim of this study was to investigate the brain activity changes elicited during the skill acquisition of resident surgeons by measuring hemodynamic changes from the prefrontal cortex area via a neuroimaging sensor, namely, functional near-infrared spectroscopy (fNIRS). Twenty-four participants, who are resident medical doctors affiliated with different surgery departments, underwent an RAS simulator training during this study and completed the sponge suturing tasks at three different difficulty levels in two consecutive sessions/blocks. The results reveal that cortical oxygenation changes in the prefrontal cortex were significantly lower during the second training session (Block 2) compared to the initial training session (Block 1) (p < 0.05).

Published
2021
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5. Studying brain activation during skill acquisition via robot-assisted surgery training

Author

Atahan Agrali, Mete Gungor, Kurtulus Izzetoglu, Aysun Simsek, Mehmet Emin Aksoy, Dilek Kitapcioglu, and Acibadem University Dspace

Subjects
Brain activation, medicine.medical_specialty, Brain activity and meditation, 030232 urology & nephrology, Robot-Assisted Surgery, Neurosciences. Biological psychiatry. Neuropsychiatry, Neuroimaging, Article, Surgery training, Session (web analytics), Dreyfus model of skill acquisition, 03 medical and health sciences, 0302 clinical medicine, Physical medicine and rehabilitation, medicine, Prefrontal cortex, Functional Near-Infrared Spectroscopy, business.industry, Clinical Skill Acquisition, General Neuroscience, FNIRS, 030220 oncology & carcinogenesis, Functional near-infrared spectroscopy, business, Simulation-Based Training, RC321-571
Abstract

Robot-assisted surgery systems are a recent breakthrough in minimally invasive surgeries, offering numerous benefits to both patients and surgeons including, but not limited to, greater visualization of the operation site, greater precision during operation and shorter hospitalization times. Training on robot-assisted surgery (RAS) systems begins with the use of high-fidelity simulators. Hence, the increasing demand of employing RAS systems has led to a rise in using RAS simulators to train medical doctors. The aim of this study was to investigate the brain activity changes elicited during the skill acquisition of resident surgeons by measuring hemodynamic changes from the prefrontal cortex area via a neuroimaging sensor, namely, functional near-infrared spectroscopy (fNIRS). Twenty-four participants, who are resident medical doctors affiliated with different surgery departments, underwent an RAS simulator training during this study and completed the sponge suturing tasks at three different difficulty levels in two consecutive sessions/blocks. The results reveal that cortical oxygenation changes in the prefrontal cortex were significantly lower during the second training session (Block 2) compared to the initial training session (Block 1) (p &lt, 0.05).

Published
2021

6. Web Usability Testing With Concurrent fNIRS and Eye Tracking

Author

Rajneesh Suri, Hasan Ayaz, Kevin McCarthy, Siddharth Bhatt, and Atahan Agrali

Subjects
Early adopter, Usability assessment, business.industry, Computer science, Eye tracking, Usability, business, Data science, Web usability, Digitization
Abstract

The wealth management industry has been one of the prime beneficiaries of the digitization wave, with incessantly growing investment from fintech companies to develop new online platforms. The current methods of evaluating the effectiveness, usability, and ease of use of these web platforms are rudimentary and subjective, as they rely largely on traditional survey measures and may fail to uncover critical usability issues with a platform. When companies launch such web platforms, early adopter users are usually faced with an array of issues, ranging from ineffective navigation to poor layout, which may cause consumers to lose trust and eventually switch to other brands and services. There has been a long-standing need to develop more effective methods to assess web platforms. We propose and empirically validate a multimodal approach that combines traditional methods (survey and performance measures) with physiological (eye-tracking and neuroimaging) measures to enable more holistic and rigorous testing of web platforms. This approach overcomes the limitations of traditional methods and enables a more comprehensive usability assessment.

Published
2019
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7. List of Contributors

Author

Nounagnon F. Agbangla, Atahan Agrali, Cédric T. Albinet, Awad Aljuaid, Guillaume Andéol, Jean M. André, Pietro Aricò, Branthomme Arnaud, Romain Artico, Michel Audiffren, Hasan Ayaz, Fabio Babiloni, Wendy Baccus, Carryl L. Baldwin, Hubert Banville, Klaus Bengler, Bruno Berberian, Jérémy Bergeron-Boucher, Ali Berkol, Pierre Besson, Siddharth Bhatt, Arianna Bichicchi, Martijn Bijlsma, Nikolai W.F. Bode, Vincent Bonnemains, Gianluca Borghini, Guillermo Borragán, Marc-André Bouchard, Angela Bovo, Eric Brangier, Anne-Marie Brouwer, Heinrich H. Bülthoff, Christopher Burns, Vincent Cabibel, Tuna E. Çakar, Daniel Callan, Aurélie Campagne, Travis Carlson, William D. Casebeer, Deniz Zengin Çelik, Cindy Chamberland, Caroline P.C. Chanel, Peter Chapman, Luc Chatty, Laurent Chaudron, Philippe Chevrel, Lewis L. Chuang, Caterina Cinel, Bernard Claverie, Antonia S. Conti, Yves Corson, Johnathan Crépeau, Adrian Curtin, Frédéric Dehais, Arnaud Delafontaine, Gaétane Deliens, Arnaud Delorme, Stefano I. Di Domenico, Gianluca Di Flumeri, Jean-Marc Diverrez, Manh-Cuong Do, Mengxi Dong, Andrew T. Duchowski, Anirban Dutta, Lydia Dyer, Sonia Em, Kate Ewing, Stephen Fairclough, Brian Falcone, Tiago H. Falk, Sara Feldman, Ying Xing Feng, Victor S. Finomore, Nina Flad, Alice Formwalt, Alexandra Fort, Paul Fourcade, Marc A. Fournier, Jérémy Frey, C. Gabaude, Olivier Gagey, Marc Garbey, Liliana Garcia, Thibault Gateau, Lukas Gehrke, Nancy Getchell, Evanthia Giagloglou, Christiane Glatz, Kimberly Goodyear, Robert J. Gougelet, Jonas Gouraud, Klaus Gramann, Dhruv Grewal, Carlos Guerrero-Mosquera, Céline Guillaume, Martin Hachet, Alain Hamaoui, Gabriella M. Hancock, Peter A. Hancock, Ahmad Fadzil M. Hani, Amanda E. Harwood, Mitsuhiro Hayashibe, Terry Heiman-Patterson, Girod Hervé, Maarten A.J. Hogervorst, Amy L. Holloway, Jean-Louis Honeine, Keum-Shik Hong, Klas Ihme, Kurtulus Izzetoglu, Meltem Izzetoglu, Philip L. Jackson, Christophe Jallais, Christian P. Janssen, Branislav Jeremic, Meike Jipp, Evelyn Jungnickel, Hélio Kadogami, Gozde Kara, Waldemar Karwowski, Quinn Kennedy, Theresa T. Kessler, Muhammad J. Khan, Rayyan A. Khan, Marius Klug, Amanda E. Kraft, Michael Krein, Ute Kreplin, Bartlomiej Kroczek, Lauens R. Krol, Frank Krueger, Ombeline Labaune, Daniel Lafond, Claudio Lantieri, Paola Lanzi, Amine Laouar, Dargent Lauren, Rachel Leproult, Véronique Lespinet-Najib, Ling-Yin Liang, Fabien Lotte, Ivan Macuzic, Nicolas Maille, Horia A Maior, S. Malin, Alexandre Marois, Franck Mars, Nicolas Martin, Nadine Matton, Magdalena Matyjek, Kevin McCarthy, Ryan McKendrick, Tom McWilliams, Bruce Mehler, Ranjana Mehta, Ranjana K. Mehta, Mathilde Menoret, Yoshihiro Miyake, Alexandre Moly, Rabia Murtza, Makii Muthalib, Mark Muthalib, Noman Naseer, Jordan Navarro, Roger Newport, Anton Nijholt, Michal Ociepka, Morellec Olivier, Ahmet Omurtag, Banu Onaral, Hiroki Ora, Bob Oudejans, Özgürol Öztürk, Martin Paczynski, Nico Pallamin, Raja Parasuraman, Mark Parent, René Patesson, Kou Paul, Philippe Peigneux, Matthias Peissner, G. Pepin, Stephane Perrey, Vsevolod Peysakhovich, Markus Plank, Riccardo Poli, Kathrin Pollmann, Simone Pozzi, Nancy M. Puccinelli, Jean Pylouster, Kerem Rızvanoğlu, Martin Ragot, Bryan Reimer, Emanuelle Reynaud, Joohyun Rhee, Jochem W. Rieger, Anthony J. Ries, Benoit Roberge-Vallières, Achala H. Rodrigo, Anne L. Roggeveen, Ricardo Ron-Angevin, Guillaume Roumy, Raphaëlle N. Roy, Anthony C. Ruocco, Bartlett A. Russell, Jon Russo, Richard M. Ryan, Amanda Sargent, Kelly Satterfield, Ben D. Sawyer, Sébastien Scannella, Menja Scheer, Melissa Scheldrup, Alex Schilder, Nicolina Sciaraffa, Lee Sciarini, Magdalena Senderecka, Sarah Sharples, Tyler H. Shaw, Patricia A. Shewokis, Andrea Simone, Hichem Slama, Alastair D. Smith, Bertille Somon, Hiba Souissi, Moritz Späth, Kimberly L. Stowers, Clara Suied, Junfeng Sun, Rajnesh Suri, Tong Boon Tang, Yingying Tang, Emre O. Tartan, Nadège Tebbache, Franck Techer, Cengiz Terzibas, Catherine Tessier, Claudine Teyssedre, Hayley Thair, Jean-Denis Thériault, Alexander Toet, Shanbao Tong, Jonathan Touryan, Amy Trask, Sébastien Tremblay, Anirudh Unni, François Vachon, Davide Valeriani, Benoît Valéry, Helma van den Berg, Valeria Vignali, Mathias Vukelić, Jijun Wang, Max L. Wilson, Emily Wusch, Petros Xanthopoulos, Eric Yiou, Amad Zafar, Thorsten O. Zander, Matthias D. Ziegler, and Ivana Živanovic-Macuzic

Published
2019
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8. Neural Correlates of Math Anxiety of Consumer Choices on Price Promotions

Author

Siddharth Bhatt, Kurtulus Izzetoglu, Amanda Sargent, Banu Onaral, Atahan Agrali, Hongjun Ye, Hasan Ayaz, and Rajneesh Suri

Subjects
Neural correlates of consciousness, media_common.quotation_subject, education, behavioral disciplines and activities, Mathematical anxiety, Perception, mental disorders, medicine, Anxiety, Price promotion, medicine.symptom, Everyday life, Prefrontal cortex, psychological phenomena and processes, Cognitive psychology, media_common
Abstract

Math anxiety is a problem that faces most people in their everyday life. Past research suggests that math anxiety can lead consumers to make errors in numerical computations. In this study, we utilized brain-based measures for the assessment of math anxiety in relationship to price perceptions. Functional near-infrared spectroscopy (fNIRS) from the prefrontal cortex was measured to determine differences in responses between high and low math anxiety participants. Participants performed two tasks under load and no-load conditions performing math calculations in relation to a price promotion. Preliminary results indicate that there is a performance difference between low and high math anxiety participants in both oxygenated hemoglobin results and behavioral performance. This study outlines a new method for determining how math anxiety affects consumers’ decisions regarding prices.

Published
2018
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9. Does Comfort with Technology Affect Use of Wealth Management Platforms? Usability Testing with fNIRS and Eye-Tracking

Author

Atahan Agrali, Hasan Ayaz, Siddharth Bhatt, and Rajneesh Suri

Subjects
Emerging technologies, Human–computer interaction, Computer science, business.industry, Eye tracking, Usability, Affect (psychology), business, Web usability, Test (assessment)
Abstract

Most wealth management firms offer online platforms where investors with varied levels of comfort with technology manage their portfolios. Past research shows that comfort with technology is crucial for users’ acceptance of new technologies. We investigated how users’ comfort level with technology influences their use of a new wealth management online platform. We used a multi-modal approach that incorporates survey, behavioral, eye-tracking and neural measures to assess investors’ comfort with technology on web-platform usability to provide a rigorous test of the effects of comfort with technology on usability experiences for a wealth management firm. Our findings suggest that traditional survey measures do not show any differences in users’ evaluations. However, behavioral and neurophysiological measures reveal insights that traditional survey measures fail to reveal.

Published
2018
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10. Neural Correlates of Math Anxiety and Ability on Price Promotions and Consumer Decisions

Author

Atahan Agrali, Banu Onaral, Amanda Sargent, Rajneesh Suri, Siddharth Bhatt, Hasan Ayaz, Kurtulus Izzetoglu, and Hongjun Ye

Subjects
Behavioral Neuroscience, Psychiatry and Mental health, Neural correlates of consciousness, Neuropsychology and Physiological Psychology, Neurology, Psychology, Biological Psychiatry, Mathematical anxiety, Cognitive psychology
Published
2018
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11. Predicting Audience Preferences for Television Advertisements Using Functional Brain Imaging

Author

Siddharth Bhatt, Kurtulus Izzetoglu, Hasan Ayaz, Banu Onaral, Rajnesh Suri, and Atahan Agrali

Subjects
Brain activation, Functional Brain Imaging, Near infrared light, Neuroimaging, Brain activity and meditation, Neuroergonomics, Functional near-infrared spectroscopy, Wearable computer, Advertising, Psychology
Abstract

Consistent with the Neuroergonomics approach, brain activities measured in response to viewing of natural stimuli in everyday settings could be used to assess audience preferences. In this study, we record brain activity from a group of naive individuals while viewing popular, previously broadcast television content, Super Bowl advertisements using functional near infrared spectroscopy (fNIRS), a wearable neuroimaging technique that utilizes near infrared light to measure cortical oxygenation changes. Results indicate that brain activation predicts the self-reported rating by a broad audience.

Published
2018
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12. Audience preference prediction for commercials using fNIRS

Author

Rajneesh Suri, Hasan Ayaz, Atahan Agrali, Banu Onaral, Kurtulus Izzetoglu, and Siddharth Bhatt

Subjects
Behavioral Neuroscience, Psychiatry and Mental health, Neuropsychology and Physiological Psychology, Neurology, Psychology, Biological Psychiatry, Preference, Cognitive psychology
Published
2018
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15. Using Neural Correlates for Enhancing Customer Experience Through Effective Visual Price Placement

Author

Dhruv Grewal, Banu Onaral, Rajneesh Suri, Atahan Agrali, Nancy Puccinelli, Kurtulus Izzetoglu, Hasan Ayaz, and Anne L. Roggeveen

Subjects
Service (business), Customer experience, Neural correlates of consciousness, Numerical cognition, Neuroergonomics, Information needs, Business, Product (category theory), Marketing, Cost of ownership
Abstract

Price or cost of ownership remains the most influential decision driver for consumers when shopping for a product or service. In the current competitive retail environment, for consumers to have a good experience at a store, such price information needs to appear in a location (right or left) where consumers are most likely to look at while shopping. This study used neural correlates to identify the location where consumers are most likely to expect price information to be present during a shopping experience.

Published
2018
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