Measuring the Degree of Content Immersion in a Non-experimental Environment Using a Portable EEG Device
0
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
As mobile devices such as smartphones and tablet PCs become more popular, users are becoming accustomedto consuming a massive amount of multimedia content every day without time or space limitations. From theindustry, the need for user satisfaction investigation has consequently emerged. Conventional methods toinvestigate user satisfaction usually employ user feedback surveys or interviews, which are considered manual,subjective, and inefficient. Therefore, the authors focus on a more objective method of investigating users’brainwaves to measure how much they enjoy their content. Particularly for multimedia content, it is naturalthat users will be immersed in the played content if they are satisfied with it. In this paper, the authorspropose a method of using a portable and dry electroencephalogram (EEG) sensor device to overcome thelimitations of the existing conventional methods and to further advance existing EEG-based studies. Theproposed method uses a portable EEG sensor device that has a small, dry (i.e., not wet or adhesive), andsimple sensor using a single channel, because the authors assume mobile device environments where usersconsider the features of portability and usability to be important. This paper presents how to measureattention, gauge and compute a score of user’s content immersion level after addressing some technical detailsrelated to adopting the portable EEG sensor device. Lastly, via an experiment, the authors verified ameaningful correlation between the computed scores and the actual user satisfaction scores.
Abstract
As mobile devices such as smartphones and tablet PCs become more popular, users are becoming accustomedto consuming a massive amount of multimedia content every day without time or space limitations. From theindustry, the need for user satisfaction investigation has consequently emerged. Conventional methods toinvestigate user satisfaction usually employ user feedback surveys or interviews, which are considered manual,subjective, and inefficient. Therefore, the authors focus on a more objective method of investigating users’brainwaves to measure how much they enjoy their content. Particularly for multimedia content, it is naturalthat users will be immersed in the played content if they are satisfied with it. In this paper, the authorspropose a method of using a portable and dry electroencephalogram (EEG) sensor device to overcome thelimitations of the existing conventional methods and to further advance existing EEG-based studies. Theproposed method uses a portable EEG sensor device that has a small, dry (i.e., not wet or adhesive), andsimple sensor using a single channel, because the authors assume mobile device environments where usersconsider the features of portability and usability to be important. This paper presents how to measureattention, gauge and compute a score of user’s content immersion level after addressing some technical detailsrelated to adopting the portable EEG sensor device. Lastly, via an experiment, the authors verified ameaningful correlation between the computed scores and the actual user satisfaction scores.
참고문헌 (21)
- F. Y. Chen, "Application of importance and satisfaction indicators for service quality improvement of customer satisfaction", International Journal of Services Technology and Management, 20(1-3), pp.108~122 (2014)[DOI]
- 황재영, "디지털도서관의 서비스 품질 평가 연구에 관한 고찰 - 평가모형 및 측정방법을 중심으로 -", 한국도서관·정보학회지, 40(2), pp.243~265 (2009), 한국도서관·정보학회[DOI]
- A. Maitland, "How accurately do different evaluation methods predict the reliability of survey questions?", Journal of Survey Statistics and Methodology, 4(3), pp.362~381 (2016)[DOI]
- 서미라, "게임 평가도구로써 감성 평가시스템의 타당화 -Jakob Nielson의 사용성 평가시스템과의 비교를 중심으로-", 한국콘텐츠학회 논문지, 7(8), pp.86~93 (2007), 한국콘텐츠학회
- C. H. Lee, "A study on EEG based concentration power index transmission and brain computer interface application", World Congress on Medical Physics and Biomedical Engineering, pp.537~539 (2009)
- R. R. Wehbe, "An Introduction to EEG analysis techniques and brain-computer interfaces for games user researchers", Proceedings of the 2013 DiGRA International Conference: DeFragging Game Studies, pp.1~16 (2013)
- H. Shin, "Extracting signals from noisy single-channel EEG stream for ubiquitous healthcare applications", Journal of Internet Technology, 13(1), pp.85~94 (2012)
- D. S. Broomhead, "Extracting qualitative dynamics from experimental data", Physica D: Nonlinear Phenomena, 20(2-3), pp.217~236 (1986)[DOI]
- J. J. Allen, "Regional electroencephalographic asymmetries in bipolar seasonal affective disorder before and after exposure to bright light", Biological Psychiatry, 33(8), pp.642~646 (1993)[DOI]
- C. Muhl, "Modalityspecific affective responses and their implications for affective BCI", Proceedings of the 5th International Brain-Computer Interface Conference, pp.120~123 (2011)
- 류준모, "그룹 몰입도 판단을 위한 움직임 동기화 연구", 지능정보연구, 19(1), pp.79~94 (2013), 한국지능정보시스템학회
- C. Amo, "Induced gamma-band activity during voluntary movement: EEG analysis for clinical purposes", Motor Control, 20(4), pp.409~428 (2016)[DOI]
- "Electroencephalography"[URL]
- S. H. Cho, "Study of attention using the EEG bands", Proceedings of the 40th KIEE Summer Conference, pp.1994~1995 (2009)
- M. Gadea, "Testing the benefits of neurofeedback on selective attention measured through dichotic listening", Applied Psychophysiology and Biofeedback, 41(2), pp.157~164 (2016)[DOI]
- R. J. Croft, "Removal of ocular artifact from the EEG: a review", Neurophysiologie CliniqueClinical Neurophysiology, 30(1), pp.5~19 (2000)[DOI]
- V. Maurandi, "Multimodal approach to remove ocular artifacts from EEG signals using multiple measurement vectors", International Conference on Latent Variable Analysis and Signal Separation, pp.563~573 (2017)
- J. A. Stern, "What's behind blinking?", The Sciences, 28(6), pp.43~44 (1988)[DOI]
- E. Kirmizi-Alsan, "Comparative analysis of event-related potentials during Go", NoGo and CPT: decomposition of electrophysiological markers of response inhibition and sustained attention, 2006, pp.1104(1), 114~128
- 장재경, "여대생의 이러닝 학습태도 변화에 따른 뇌파 분석", 한국콘텐츠학회 논문지, 11(4), pp.42~50 (2011), 한국콘텐츠학회
- 구대림, "정상 수면의 생리", Hanyang Medical Reviews, 33(4), pp.190~196 (2013), 한양대학교 의과대학[DOI]
