Wearable Sensing’s wireless DSI-Flex is the leading dry electrode EEG system in terms of signal quality and comfort. The DSI-Flex takes on average less than 5 minutes to set up, making it the ideal solution for scientists in need of a simple, easy to use, EEG system. Our patented sensor technology not only delivers uncompromised signal quality but also enables our system to be virtually immune against motion and electrical artifacts.
The DSI-Flex has dry sensors on flexible cables, enabling scientists to place the electrodes in varying configurations on the head. These flexible sensors are designed to be screwed into custom caps, so that scientists can order 1 DSI-Flex, and multiple caps, allowing for rapid application of multiple electrode configurations. Every sensor on the DSI-Flex can be customized as either ExG, GSR, TEMP, and REP. It also has a 4-bit trigger input to synchronize with other devices such as Eye-Tracking, Motion (IMU), and more.
Used around the world by leaders in Research, & Brain-Computer Interfaces
With over 90% correlation to research-grade wet EEG systems, the dry sensor interface (DSI) offers unparalleled quality and performance
Multiple adjustment points and a foam pad lined interior enable the system to be worn for up to 8 hours on any head shape or size
All DSI systems include free, unlimited licenses of DSI-Streamer, our data acquisition software which can record raw data, in .csv and .edf file formats
Faraday cage's, spring-loaded electrodes, and our patented common-mode follower technology, provides near immunity against electrical and motion artifacts
Using 70% isopropyl alcohol and a cleaning brush, the DSI-24 only takes a minute to clean, 3 minutes to dry, and can be up and running on the next subject in minutes
All DSI systems include our free C based .dll API, which enables users to pull the raw data directly from the headset, for custom software on Windows, Mac OS, Linux, and ARM
The DSI-Flex was designed for ultra-rapid setup, taking on average less than 5 minutes to don, and works on any type of hair, including long hair, thick hair, afros, and more
DSI headsets have active sensors, amplifiers, digitizers, batteries, onboard storage, and wireless transmission, making them complete, mobile, wearable EEG systems
DSI systems exclusively work with QStates, a machine learning algorithm for cognitive classification on states such as mental workload, engagement, and fatigue
Our Wireless Trigger Hub simplifies the synchronization of DSI headsets with other devices. It features:
An additional benefit of the Trigger Hub design is that it allows synchronization across multiple data sources that are distributed across multiple systems, each of which running at its own clock rate. One such case commonly experienced in EEG experiments involves the synchronization of EEG and eye-tracking measurements, where the inevitable clock drift that arises between two systems during extended measurements creates difficulty in aligning data to events across the two systems.
The DSI-Flex can be customized so that an EEG sensor is replaced with a DSI auxiliary sensor. There are up to 7 locations on the DSI-Flex, enabling any configuration of the following sensors: EEG, ECG, EMG, EOG, GSR, RESP, & TEMP. The sensor data is collected and recorded in our data acquisition software, DSI-Streamer, where you can view the EEG and Aux sensors in real-time.
EEG Channels
Up to 7 Custom Sensor Locations
Reference / Ground
Common Mode Follower / Custom
Head Size Range
Custom Caps
Sampling Rate
300 Hz (600Hz upgrade available)
Bandwidth
0.003 – 150 Hz
A/D resolution
0.317 μV referred to input
Input Impedance (1Hz)
47 GΩ
CMRR
> 120 dB
Amplifier / Digitizer
16 bits / 7 channels
Wireless
Bluetooth
Wireless Range
10 m
Run-time
> 12 hours
Onboard Storage
~ 68 Hours (available option)
Data Acquisition
Real time, evoked potentials
Signal Quality Monitoring
Continuous impedance, Baseline offset, Noise (1-50 Hz)
Data Type
Raw and Filtered Data available
File Type
.CSV and .EDF
Data Output Streaming
TCP/IP socket, API (C Based), LSL
Cognitive State Classification
Brain Computer Interface
SSVEP BCI Algorithms; BCI2000; OpenViBE; PsychoPy; BCILab
Data Integration / Analysis
CAPTIV; Lab Streaming Layer; NeuroPype; BrainStorm; NeuroVIS
Neurofeedback
Applied Neuroscience NeuroGuide; Brainmaster Brain Avatar; EEGer
Neuromarketing
CAPTIV Neurolab
Presentation
Presentation; E-Prime
Rueda-Parra, S.; Hardesty, R. L.; Gemoets, D.; Hill, J.; Gupta, D.
Reliability testing of EEG spectral features in a robot-based arm movement task Conference
Society for Neuroscience 2024.
@conference{nokey,
title = {Reliability testing of EEG spectral features in a robot-based arm movement task},
author = {S. Rueda-Parra and R.L. Hardesty and D. Gemoets and J. Hill and D. Gupta},
url = {https://wearablesensing.com/wp-content/uploads/2024/07/Reliability-testing-of-EEG-spectral-features-in-a-robot-based-arm-movement-task_sfn2024.pdf},
year = {2024},
date = {2024-10-05},
organization = {Society for Neuroscience},
abstract = {Introduction
We test the intersession reliability of kinematic and EEG low-beta (Lβ, 12 - 20 Hz) power features in a center-out motor task performed with the inMotion Armrehabilitation robot from Bionik labs. Integrating EEG data collection with robotic tasks aims to reduce trial and session movement variability, and to obtain precisemovement onset markers. We hypothesize that this setup would help reduce intersession variability and increase reliability, for potential use of these features inlongitudinal assessments.
Methods
Ten right-handed healthy individuals used the Bionik robot in two sessions (on average 40 days apart) to perform planar movements within a predefined workspace.Targets were situated 10 cm from the center at 4 cardinal positions. Movement and targets were displayed on a screen. Movement was initiated upon visual cue andtarget position maintained till subsequent cue. Targets were presented randomly. Each arm performed a block of 80 movements, with randomized block order. Sessiontwo kept individual block order. Study was IRB approved (1584762); informed consent was obtained.
EEG data (DSI-24, Wearable Sensing) were collected at 300 Hz with BCI2000, referenced to linked earlobes, and synchronized with Bionik’s positional data. Movementonsets were detected using inertial kinematic data with (Xsens, Movella). Lβ power was analyzed for epochs of 0 to 200 ms post-movement onset; expressed as apercentage change from trial baseline. Power distributions of this feature at contralateral hand motor regions (C3 and C4) were computed. Kinematic features (meanspeed and movement duration) were gathered from the robot.
Inter session distribution differences were evaluated at individual (Lβ) and group levels (kinematics and Lβ). Wilcoxon rank sum test was used for intra-individualcomparisons, and Wilcoxon signed rank for paired group comparisons. The group feature was the median Lβ power. Intersession agreement was quantified with theInter-Class Correlation (ICC) coefficient.
Results
Lβ power in contralateral motor regions show expected desynchronization. Group analysis shows excellent agreement between sessions for right-arm (ICC: Lβ = 0.92,Speed = 0.86, Duration = 0.71), and left-arm (ICC: Lβ = 0.90, Speed = 0.86, Duration = 0.83) movements. Individual and group differences were not significant for bothleft- and right-hand movements, supporting group intersession agreement.
Conclusion
This study demonstrates a setup with robust EEG and kinematic features across sessions in healthy individuals, providing some assurance of its reliability for use inlongitudinal assessments. We aim to test this on a larger cohort.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Gupta, D.; Brangaccio, J. A.; Mojtabavi, H.; Wolpaw, J.; Hill, J.
Single-trial decoding of somatosensory evoked potentials: Effect of stimulation frequency Conference
Society for Neuroscience 2024.
@conference{nokey,
title = {Single-trial decoding of somatosensory evoked potentials: Effect of stimulation frequency},
author = {D. Gupta and J.A. Brangaccio and H. Mojtabavi and J. Wolpaw and J. Hill},
url = {https://wearablesensing.com/wp-content/uploads/2024/07/cOASIS-The-Online-Abstract-Submission-System.pdf},
year = {2024},
date = {2024-10-05},
urldate = {2024-10-05},
organization = {Society for Neuroscience},
abstract = {Objective: Single-trial decoding of somatosensory evoked potentials (SEPs) is important for developing Brain Computer Interface applications for rehabilitation post brain injury, However, it is unclear how SEP decoding is affected by stimulation parameters such as the stimulation frequency, We assess this with tibial nerve electrical stimulation at frequencies of 0.2 Hz, 1 Hz and 2Hz. Method: Nine healthy people (50.4+18.8y, 6m/3f) participated with informed consent (IRB #1584762), Referential electroencephalography (EEG) was acquired at 300 Hz (DSI-24, Wearable Sensing; BCI2000). Bipolar electromyography was measured from the soleus muscle (3200 Hz, AMT-8; EPOCS software). Biphasic 1-ms electrical stimuli were delivered to tibial nerve with a constant current stimulator, controlled with our EPOCS software. At each stimulation frequency, the soleus M-wave and Hoffman-reflex recruitment curves were obtained, followed by SEP measurement (75 trials), at a current intensity that elicited an M-wave of 10-20% Mmax. The 3 stimulation frequency blocks were repeated after a short break, presented randomly. EEG was notch and bandpass filtered (0.2 - 40 Hz) and denoised with independent component analysis, Preprocessed data were epoched (-50 to 400 ms); noisy epochs were removed using trial statistics. The SEP was obtained by averaging baseline-corrected epochs. The Friedman Test was used for repeated measure comparisons. Single trial classification was assessed with linear discriminant analysis (LDA) and 5-fold cross-validation. Classification performance was assessed with AUC (ROC curves), Decoding generalization was assessed by applying LDA models from set-1 recordings, to predict the SEPS in set 2, Results: SEP N70 latencies remained similar across stimulation frequencies (p>0.05), while the N70 peak amplitude was significantly different (p=0.0084); higher stimulation frequency elicited a smaller N70 peak. The N70 classification accuracy was 0.89, 0.79 and 0.80 for 0.2 Hz, 1 Hz and 2 Hz respectively. Generalization AUC scores were 0.81, 0.76 and 0.77 for 0.2 Hz, 1 Hz and 2 Hz, respectively. Conclusion: Results show an excellent classification accuracy for SEP N70, elicited by tibial nerve stimulation at 0,2Hz, with a slight decrease in accuracy at higher stimulation frequencies. This may be attributed to attenuated SEP N70 at higher frequencies, possibly due to desensitization. Generalization scores show an expected decrease of accuracy at all frequencies, with the largest decrease at 0.2 Hz. Most importantly, all three frequencies appear to be able to support single-trial SEP decoding and may be usable for an SEP-based brain computer interface.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Moon, JaeYoung; Cho, EunHye; Jo, Yeabon; Kim, KyungJoong; Song, Eunsung
Investigating the Effect of Emotional Matching between Game and Background Music on Game Experience in a Valence–Arousal Space Journal Article
In: IEEE Transactions on Games, pp. 1-20, 2024.
@article{moon2024investigating,
title = {Investigating the Effect of Emotional Matching between Game and Background Music on Game Experience in a Valence–Arousal Space},
author = {JaeYoung Moon and EunHye Cho and Yeabon Jo and KyungJoong Kim and Eunsung Song},
doi = {10.1109/TG.2024.3424459},
year = {2024},
date = {2024-07-08},
urldate = {2024-01-01},
journal = {IEEE Transactions on Games},
pages = {1-20},
publisher = {IEEE},
abstract = {Game music critically influences the experience of a video game. Although this influence has been well investigated, the multifaceted relationships between video games and the emotions evoked by music are rarely reported. By considering diverse emotional matches of game and music, game designers could enhance various aspects of the game experience. The present study investigates players' game experiences by analyzing the electroencephalogram data, game experience questionnaire answers, and interview responses of 31 experimental participants corresponding to game–music emotional matching based on the valence–arousal model. Finally, four findings were identified based on four types of game experiences: overall preference, emotion, immersion, and performance. These findings led to four game music design approaches.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Oikonomou, Vangelis P; Geordiadis, Kostas; Kalaganis, Fotis P; Nikolopoulos, Spiros; Kompatsiaris, Ioannis
Prediction of Successful Memory Formation during Audiovisual advertising using EEG signals Conference
2024 IEEE Conference on Artificial Intelligence (CAI) 2024.
@conference{oikonomouprediction,
title = {Prediction of Successful Memory Formation during Audiovisual advertising using EEG signals},
author = {Vangelis P Oikonomou and Kostas Geordiadis and Fotis P Kalaganis and Spiros Nikolopoulos and Ioannis Kompatsiaris},
url = {https://ieeecai.org/2024/wp-content/pdfs/540900b114/540900b114.pdf},
year = {2024},
date = {2024-06-25},
organization = {2024 IEEE Conference on Artificial Intelligence (CAI)},
abstract = {The prediction of memory performance using EEG signals is an active research area in Passive Brain Computer Interfaces community. In this type of prediction problem it is important to be able to use unlabeled data and to tackle the unbalanced nature of the data. In this work we propose two new Sparse Representation Classification schemes that are able to address the above properties of the data. The proposed classifiers have been tested in an EEG dataset related to neuromarketing. In the data analysis, we define a binary classification problem using EEG signals corresponding to the condition of remembering and forgetting. Furthermore, we compare the proposed classifiers with well-known classifiers. The obtained results show all classifiers perform above chance level, and, among them the proposed classifiers present the best performance in terms of Fscore and Kappa Value.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Kim, Sanghee; Ryu, Jihye; Lee, Yujeong; Lee, Kweonhyoung
Exploring the Influence of Subjective Thermal Perception on Electroencephalogram Characteristics Based on Prior Thermal Experience Journal Article
In: Building and Environment, pp. 111719, 2024.
@article{kim2024exploring,
title = {Exploring the Influence of Subjective Thermal Perception on Electroencephalogram Characteristics Based on Prior Thermal Experience},
author = {Sanghee Kim and Jihye Ryu and Yujeong Lee and Kweonhyoung Lee},
doi = {https://doi.org/10.1016/j.buildenv.2024.111719},
year = {2024},
date = {2024-06-04},
urldate = {2024-01-01},
journal = {Building and Environment},
pages = {111719},
publisher = {Elsevier},
abstract = {Achieving thermal comfort for occupants in a dynamic environment that reflects their previous thermal experiences is essential for enhancing satisfaction. Current models do not fully consider these dynamic elements, thus limiting advancements in occupants' thermal comfort. This study aims to delineate the characteristics of electroencephalogram (EEG) responses aligned with subjective thermal perception in various thermal environment scenarios, inclusive of past thermal experiences. It focuses on identifying EEG indices, brain regions, and temporal markers that can distinguish between different thermal perceptions. The study involves sixteen male participants who undergo three thermal experience scenarios: predicted mean vote (PMV) 0 → PMV +2, PMV +2 → PMV –2, and PMV -2 → PMV +2. Our results highlight the sensitivity of the F3 channel in the left frontal lobe to thermal environments. The study identifies a pivotal time frame of 6 min after the experiment's start as significant for differentiating thermal perception groups. Additionally, it reveals that the EEG indices reacting to thermal changes vary depending on the participants' previous thermal experiences. These findings indicate that physiological signals, particularly EEG responses, can serve as effective biomarkers for distinguishing thermal perceptions in diverse thermal experience scenarios. This research emphasizes the need to integrate a variety of thermal environment scenarios, considering previous thermal experiences, into personal comfort models for more effective and tailored thermal comfort solutions.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Cheng, Chia-Hsiung; Hsieh, Yu-Wei; Chang, Chiung-Chih; Hsiao, Fu-Jung; Chen, Li-Fen; Wang, Pei-Ning
In: Journal of Alzheimer's Disease, no. Preprint, pp. 1–18, 2024.
@article{cheng2024effects,
title = {Effects of 6-Month Combined Physical Exercise and Cognitive Training on Neuropsychological and Neurophysiological Function in Older Adults with Subjective Cognitive Decline: A Randomized Controlled Trial},
author = {Chia-Hsiung Cheng and Yu-Wei Hsieh and Chiung-Chih Chang and Fu-Jung Hsiao and Li-Fen Chen and Pei-Ning Wang},
doi = {10.3233/JAD-231257},
year = {2024},
date = {2024-06-04},
urldate = {2024-01-01},
journal = {Journal of Alzheimer's Disease},
number = {Preprint},
pages = {1–18},
publisher = {IOS Press},
abstract = {Background: Multidomain intervention may delay or ameliorate cognitive decline in older adults at risk of Alzheimer's disease, particularly in the memory and inhibitory functions. However, no study systematically investigates the changes of brain function in cognitively-normal elderly with subjective cognitive decline (SCD) when they receive multidomain intervention.
Objective: We aimed to examine whether a multidomain intervention could improve neuropsychological function and neurophysiological activities related to memory and inhibitory function in SCD subjects.
Methods: Eight clusters with a total of 50 community-dwelling SCD older adults were single-blind, randomized into intervention group, which received physical and cognitive training, or control group, which received treatment as usual. For the neuropsychological function, a composite Z score from six cognitive tests was calculated and compared between two groups. For the neurophysiological activities, event-related potentials (ERPs) of memory function, including mismatch negativity (MMN) and memory-P3, as well as ERPs of inhibitory function, including sensory gating (SG) and inhibition-P3, were measured. Assessments were performed at baseline (T1), end of the intervention (T2), and 6 months after T2 (T3).
Results: For the neuropsychological function, the effect was not observed after the intervention. For the neurophysiological activities, improved MMN responses of ΔT2-T1 were observed in the intervention group versus the control group. The multidomain intervention produced a sustained effect on memory-P3 latencies of ΔT3-T1. However, there were no significant differences in changes of SG and inhibition-P3 between intervention and control groups.
Conclusions: While not impactful on neuropsychological function, multidomain intervention enhances specific neurophysiological activities associated with memory function.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Jeong, Chang Hyeon; Lim, Hyunmi; Lee, Jiye; Lee, Hye Sun; Ku, Jeonghun; Kang, Youn Joo
In: Frontiers in Neuroscience, vol. 18, pp. 1373589, 2024.
@article{jeong2024attentional,
title = {Attentional state-synchronous peripheral electrical stimulation during action observation induced distinct modulation of corticospinal plasticity after stroke},
author = {Chang Hyeon Jeong and Hyunmi Lim and Jiye Lee and Hye Sun Lee and Jeonghun Ku and Youn Joo Kang},
doi = {10.3389/fnins.2024.1373589},
year = {2024},
date = {2024-03-18},
urldate = {2024-03-18},
journal = {Frontiers in Neuroscience},
volume = {18},
pages = {1373589},
publisher = {Frontiers},
abstract = {Introduction: Brain computer interface-based action observation (BCI-AO) is a promising technique in detecting the user's cortical state of visual attention and providing feedback to assist rehabilitation. Peripheral nerve electrical stimulation (PES) is a conventional method used to enhance outcomes in upper extremity function by increasing activation in the motor cortex. In this study, we examined the effects of different pairings of peripheral nerve electrical stimulation (PES) during BCI-AO tasks and their impact on corticospinal plasticity. Materials and methods: Our innovative BCI-AO interventions decoded user's attentive watching during task completion. This process involved providing rewarding visual cues while simultaneously activating afferent pathways through PES. Fifteen stroke patients were included in the analysis. All patients underwent a 15 min BCI-AO program under four different experimental conditions: BCI-AO without PES, BCI-AO with continuous PES, BCI-AO with triggered PES, and BCI-AO with reverse PES application. PES was applied at the ulnar nerve of the wrist at an intensity equivalent to 120% of the sensory threshold and a frequency of 50 Hz. The experiment was conducted randomly at least 3 days apart. To assess corticospinal and peripheral nerve excitability, we compared pre and post-task (post 0, post 20 min) parameters of motor evoked potential and F waves under the four conditions in the muscle of the affected hand.The findings indicated that corticospinal excitability in the affected hemisphere was higher when PES was synchronously applied with AO training, using BCI during a state of attentive watching. In contrast, there was no effect on corticospinal activation when PES was applied continuously or in the reverse manner. This paradigm promoted corticospinal plasticity for up to 20 min after task completion. Importantly, the effect was more evident in patients over 65 years of age.The results showed that task-driven corticospinal plasticity was higher when PES was applied synchronously with a highly attentive brain state during the action observation task, compared to continuous or asynchronous application. This study provides insight into how optimized BCI technologies dependent on brain state used in conjunction with other rehabilitation training could enhance treatment-induced neural plasticity.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Li, Jian; Masullo, Massimiliano; Maffei, Luigi; Pascale, Aniello; Chau, Chi-kwan; Lin, Minqi
In: Applied Acoustics, vol. 218, pp. 109904, 2024.
@article{li2024improving,
title = {Improving informational-attentional masking of water sound on traffic noise by spatial variation settings: An in situ study with brain activity measurements},
author = {Jian Li and Massimiliano Masullo and Luigi Maffei and Aniello Pascale and Chi-kwan Chau and Minqi Lin},
doi = {https://doi.org/10.1016/j.apacoust.2024.109904},
year = {2024},
date = {2024-02-09},
urldate = {2024-01-01},
journal = {Applied Acoustics},
volume = {218},
pages = {109904},
publisher = {Elsevier},
abstract = {According with soundscape strategies to improve the perception of the sound environment, laboratory studies have proven that introducing water sounds into urban spaces can be both an effective strategy for the informational-attentional masking of road traffic noise, and restorativeness creation. To extend previous laboratory findings and test the effectiveness and applicability of different spatial variations of water sounds in urban parks, a sound installation was prepared, and an experiment was conducted. Three different position-varied water-sound sequences were augmented into an existing University campus green park through surround sound design method with four Bluetooth loudspeakers. The mental effects and attention process were assessed by analyzing the EEG signals including aperiodic, oscillatory components and sensor-level functional connectivity, along with psychological scales. The water sounds played in-situ, brought more visual processing related to spatial attention and stimulus-driven salience. And the changes in the alpha band and the related theta/alpha ratio among four conditions showed more relaxation state induced by the introduction of water sounds, consistent with the positive effects on emotion saliency and perceived restorativeness. Moreover, different spatial variations of water sounds, especially for the two-position switching setting, modulated the activity of the attentional network related to the restoration process via the alpha-theta synchronization.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Kim, Sanghee; Ryu, Jihye; Lee, Yujeong; Park, Hyejin; Lee, Kweonhyoung
In: Buildings, vol. 14, no. 1, pp. 237, 2024.
@article{kim2024methods,
title = {Methods for Selecting Design Alternatives through Integrated Analysis of Energy Performance of Buildings and the Physiological Responses of Occupants},
author = {Sanghee Kim and Jihye Ryu and Yujeong Lee and Hyejin Park and Kweonhyoung Lee},
doi = {https://doi.org/10.3390/buildings14010237},
year = {2024},
date = {2024-01-15},
urldate = {2024-01-01},
journal = {Buildings},
volume = {14},
number = {1},
pages = {237},
publisher = {Multidisciplinary Digital Publishing Institute},
abstract = {We propose a technique that allows designers to develop energy-efficient buildings focused on occupants from the early design stage. The technique integrates the physiological responses of occupants and the energy performance of buildings. Among the architectural design elements, we considered the aspect ratio, ceiling height, and window-to-wall ratio as design variables and created 30 design alternatives for a single-occupancy room in a postpartum care center. These design alternatives were recreated in virtual reality, allowing 33 female participants to immerse themselves in the designed rooms. During the experiment, we collected electroencephalography (EEG) data from the participants. Furthermore, we used DesignBuilder to simulate 30 design alternatives and calculated the primary energy consumption per unit area for each alternative. By integrating the EEG data and energy performance analysis, we identified the design alternative among the 30 options that positively influenced the physiological responses of occupants while also being energy efficient. The selected alternative was designed with an aspect ratio of 1:1.6, a ceiling height of 2.3 m, and a window-to-wall ratio of 60%. This research represents a creative exploration that demonstrates how studies combining human physiological responses and architecture can evolve through integration with other subjects. Our findings provide a robust framework to explore the relationship between physiological responses and energy optimization for detailed architectural design elements.
},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Park, Jaeyoung; Wang, Soyoung; Lee, Seungji; Seo, Seungbeom; Lee, Nayoung; Kim, Seongcheol
Viewer Emotional Response to Webtoon-Based Drama: An EEG Analysis Journal Article
In: International Journal of Human–Computer Interaction, pp. 1–15, 2023.
@article{park2023viewer,
title = {Viewer Emotional Response to Webtoon-Based Drama: An EEG Analysis},
author = {Jaeyoung Park and Soyoung Wang and Seungji Lee and Seungbeom Seo and Nayoung Lee and Seongcheol Kim},
doi = {https://doi.org/10.1080/10447318.2023.2285647},
year = {2023},
date = {2023-11-29},
urldate = {2023-01-01},
journal = {International Journal of Human–Computer Interaction},
pages = {1–15},
publisher = {Taylor & Francis},
abstract = {Amidst entertainment market uncertainties, cross-medium content extension has emerged as a powerful strategy. Webtoons, digital cartoons, stand out as significant resources. However, limited research has delved into effective strategies for extending these narratives. Acknowledging the crucial role of evoking viewer emotions in content success, this study investigates viewer emotional responses. Departing from conventional methods, we employ neuroscientific measurement—specifically, electroencephalography (EEG)—to capture real-time viewer emotions during content consumption, assessing valence and arousal. We examine the impact of webtoon-drama similarity on viewer emotions and scene attributes that heighten emotional responses. By integrating EEG data, interview insights, and scene analysis, our findings underscore intensified emotions when drama scenes mirror webtoon elements, particularly in sets and directing. Effective replication relies on drama-specific attributes such as choreography, original soundtracks, and casting. This study contributes academically by using EEG to evaluate webtoons’ value as original sources and practically by offering concrete webtoon extension strategy.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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