Yongqiang Lyu
ABSTRACT
Quantitative assessment for cognitive load and mental stress is very important in optimizing human-computer system designs to improve performance and efficiency. Traditional physiological measures, such as heart rate variation (HRV), blood pressure and electrodermal activity (EDA), are widely used but still have limitations in sensitivity, reliability and usability. In this study, we propose a novel photoplethysmogram-based stress induced vascular index (sVRI) to measure cognitive load and stress. We also provide the basic methodology and detailed algorithm framework. We employed a classic experiment with three levels of task difficulty and three stages of testing period to verify the new measure. Compared with the blood pressure, heart rate and HRV components recorded simultaneously, the sVRI reached the same level of significance on the effect of task difficulty/period as the most significant other measure. Our findings showed sVRI's potential as a sensitive, reliable and usable parameter.
- Paas, F., Tuovinen, J.E., Tabbers, H., et al. Cognitive Load Measurement as a Means to Advance Cognitive Load Theory. Educ. Psychol. 38, 1 (2003), 63--71.Google Scholar
Cross Ref
- Oviatt, S. Human-centered design meets cognitive load theory: designing interfaces that help people think. In Proc. 14th ACM Multimedia, ACM (2006), 871--880. Google ScholarDigital Library
- Brouwer, A.-M., Hogervorst, M.A., Holewijn, M., et al. Evidence for effects of task difficulty but not learning on neurophysiological variables associated with effort. Int. J. Psychophysiol. 93, 2 (2014), 242--252.Google ScholarCross Ref
- Brunken, R., Plass, J.L., and Leutner, D. Direct Measurement of Cognitive Load in Multimedia Learning. Educ. Psychol. 38, 1 (2003), 53--61.Google Scholar
- Hernandez, J., Paredes, P., Roseway, A., et al. Under pressure: sensing stress of computer users. In Proc. CHI 2014, ACM (2014), 51--60. Google ScholarDigital Library
- Sun, D., Paredes, P., and Canny, J. MouStress: detecting stress from mouse motion. In Proc. CHI 2014, ACM (2014), 61--70. Google ScholarDigital Library
- Tan, C.S.S., Schning, J., Luyten, K., et al. Investigating the effects of using biofeedback as visual stress indicator during video-mediated collaboration. In Proc. CHI 2014, ACM (2014), 71--80. Google ScholarDigital Library
- Lazarus, R.S. Psychological stress and the coping process. McGraw-Hill (1966), New York.Google Scholar
- Hart, S.G. and Staveland, L.E. Development of NASATLX (Task Load Index): Results of Empirical and Theoretical Research. In Advances in Psychology, North-Holland (1988), 139--183.Google Scholar
- Verwey, W.B. and Veltman, H.A. Detecting short periods of elevated workload: A comparison of nine workload assessment techniques. J. Exp. Psychol. Appl. 2, 3 (1996), 270--285.Google ScholarCross Ref
- Matthews, G., Campbell, S.E., Falconer, S., et al. Fundamental dimensions of subjective state in performance settings: Task engagement, distress, and worry. Emotion 2, 4 (2002), 315--340.Google ScholarCross Ref
- Gao, Y., Bianchi-Berthouze, N., and Meng, H. What Does Touch Tell Us about Emotions in TouchscreenBased Gameplay? ACM Trans. Comput.-Hum. Interact. 19, 4 (2012), 1--30. Google ScholarDigital Library
- Dennerlein, J., Becker, T., Johnson, P., et al. Frustrating computer users increases exposure to physical factors. In Proceedings of the International Ergonomics Association, Seoul, Korea(2003).Google Scholar
- Kreibig, S.D. Autonomic nervous system activity in emotion: A review. Biol. Psychol. 84, 3 (2010), 394--421.Google ScholarCross Ref
- Berntson, G.G., Cacioppo, J.T., and Quigley, K.S. Autonomic determinism: The modes of autonomic control, the doctrine of autonomic space, and the laws of autonomic constraint. Psychological. Review 98, 4 (1991), 459--487.Google ScholarCross Ref
- Iani, C., Gopher, D., and Lavie, P. Effects of task difficulty and invested mental effort on peripheral vasoconstriction. Psychophysiology 41, 5 (2004), 789798.Google ScholarCross Ref
- Mulder, G. The concept and measurement of mental effort. In Energetics and human information processing, Springer (1986), 175--198.Google ScholarCross Ref
- Brouwer, A.-M., Hogervorst, M.A., Van Erp, J.B., et al. Estimating workload using EEG spectral power and ERPs in the n-back task. Journal of neural engineering 9, 4 (2012), 045008.Google Scholar
- Luo, L., Xiao, L., Miao, D., et al. The Relationship between Mental Stress Induced Changes in Cortisol Levels and Vascular Responses Quantified by Waveform Analysis: Investigating Stress-Dependent Indices of Vascular Changes. In ICBEB 2012, IEEE (2012), 929--933. Google ScholarDigital Library
- Hjortskov, N., Rissén, D., Blangsted, A.K., et al. The effect of mental stress on heart rate variability and blood pressure during computer work. Eur. J. Appl. Physiol. 92, 1--2 (2004), 84--89.Google ScholarCross Ref
- Bousefsaf, F., Maaoui, C., and Pruski, A. Remote detection of mental workload changes using cardiac parameters assessed with a low-cost webcam. Comput. Biol. Med. 53(2014), 154--163. Google ScholarDigital Library
- Yoo, K.-S. and Lee, W.-H. Mental stress assessment based on pulse photoplethysmography. In Proc. ISCE 2011, IEEE (2011), 323--326.Google ScholarCross Ref
- Chigira, H., Maeda, A., and Kobayashi, M. Area-based photo-plethysmographic sensing method for the surfaces of handheld devices. In Proc. UIST 2011, ACM (2011), 499--508. Google ScholarDigital Library
- Schäfer, A. and Vagedes, J. How accurate is pulse rate variability as an estimate of heart rate variability?: A review on studies comparing photoplethysmographic technology with an electrocardiogram. Int. J. Cardiol. 166, 1 (2013), 15--29.Google ScholarCross Ref
- Wijshoff, R.W.C.G.R., Veen, J., Van Der Lee, A.M., et al. PPG motion artifact handling using a self-mixing interferometric sensor. In SPIE2011, SPIE(2011), 78940F-78940F-78913.Google ScholarCross Ref
- Wijshoff, R.W.C.G.R., Mischi, M., Veen, J., et al. Reducing motion artifacts in photoplethysmograms by using relative sensor motion: phantom study. Journal of Biomedical Optics 17, 11 (2012), 117007--117007.Google ScholarCross Ref
- Chen, C.-C., Lin, S.-C., Young, M.-S., et al. Accumulated Mental Stress Study Using the Meridians of Traditional Chinese Medicine with Photoplethysmography. The Journal of Alternative and Complementary Medicine 20, 11 (2014), 860--867.Google ScholarCross Ref
- Ritter, F.E., Reifers, A.L., Klein, L.C., et al. Lessons from defining theories of stress for cognitive architectures. Integrated models of cognitive systems(2007), 254--262.Google Scholar
Index Terms
- Measuring Photoplethysmogram-Based Stress-Induced Vascular Response Index to Assess Cognitive Load and Stress
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