The psychophysiology primer: A guide to methods and a broad review with a focus on human-computer interaction

被引：75

作者：

Cowley B. ^{[1
,2
,7
]}

Filetti M. ^{[3
,4
]}

Lukander K. ^{[1
,7
]}

Torniainen J. ^{[1
,7
]}

Henelius A. ^{[1
,7
]}

Ahonen L. ^{[1
,7
]}

Barral O. ^{[4
]}

Kosunen I. ^{[4
]}

Valtonen T. ^{[1
,7
]}

Huotilainen M. ^{[7
]}

Ravaja N. ^{[3
,5
,6
]}

Jacucci G. ^{[3
,4
]}

机构：

[1] Quantified Employee Unit, Finnish Institute of Occupational Health, Helsinki

[2] Cognitive Brain Research Unit, Institute of Behavioral Sciences, University of Helsinki, Helsinki

[3] Helsinki Institute for Information Technology HIIT, Department of Computer Science, Aalto University, Espoo

[4] Helsinki Institute for Information Technology HIIT, Department of Computer Science, University of Helsinki, Helsinki

[5] Helsinki Collegium for Advanced Studies, University of Helsinki, Helsinki

[6] Finland School of Business, Aalto University, Helsinki

[7] Finnish Institute of Occupational Health, Helsinki

来源：

Foundations and Trends in Human-Computer Interaction | 2016年 / 9卷 / 3-4期

关键词：

Psychophysiology - Data fusion - Data handling;

D O I：

10.1561/1100000065

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Digital monitoring of physiological signals can allow computer systems to adapt unobtrusively to users, so as to enhance personalised 'smart' interactions. In recent years, physiological computing has grown as a research field, and it is increasingly considered in diverse applications, ranging from specialised work contexts to consumer electronics. Working in this emerging field requires comprehension of several physiological signals, psychophysiological states or 'indices', and analysis techniques. The resulting literature encompasses a complex array of knowledge and techniques, presenting a clear challenge to the practitioner. We provide a foundational review of the field of psychophysiology to serve as a primer for the novice, enabling rapid familiarisation with the core concepts, or as a quick-reference resource for advanced readers. We place special emphasis on everyday human-computer interface applications, drawing a distinction from clinical or sports applications, which are more commonplace. The review provides a framework of commonly understood terms associated with experiential constructs and physiological signals. Then, 12 short and precisely focused review chapters describe 10 individual signals or signal sources and present two technical discussions of online data fusion and processing. A systematic review of multimodal studies is provided in the form of a reference table. We conclude with a general discussion of the application of psychophysiology to human-computer interaction, including guidelines and challenges. © 2016 B. Cowley, M. Filetti, K. Lukander.

引用

页码：151 / 308

页数：157

共 179 条

[41]

Bodala I.P., Ke Y., Mir H., Thakor N.V., Al-Nashash H., Cognitive workload estimation due to vague visual stimuli using saccadic eye movements, Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE, pp. 2993-2996, (2014)

[42]

Boehm U., Maanen L.V., Forstmann B., Rijn H.V., Trial-by-trial fluctuations in CNV amplitude reflect anticipatory adjustment of response caution, NeuroImage, 96, pp. 95-105, (2014)

[43]

Boiten F.A., The effects of emotional behaviour on components of the respiratory cycle, Biological Psychology, 49, 1-2, pp. 29-51, (1998)

[44]

Bolls P.D., Lang A., Potter R.F., The effects of message valence and listener arousal on attention, memory, and facial muscular responses to radio advertisements, Communication Research, 28, 5, pp. 627-651, (2001)

[45]

Bonarini A., Mainardi L., Matteucci M., Tognetti S., Colombo R., Stress recognition in a robotic rehabilitation task, Robotic Helpers: User Interaction, Interfaces and Companions in Assistive and Therapy Robotics, a Workshop at ACM/IEEE HRI, pp. 41-48, (2008)

[46]

Boucsein W., Electrodermal Activity, (2012)

[47]

Boucsein W., Fowles D.C., Grimnes S., Gershon B.-S., Roth W.T., Dawson M.E., Filion D.L., Publication recommendations for electrodermal measurements, Psychophysiology, 49, 8, pp. 1017-1034, (2012)

[48]

Bousefsaf F., Maaoui C., Pruski A., Remote detection of mental workload changes using cardiac parameters assessed with a low-cost webcam, Computers in Biology and Medicine, 53, pp. 154-163, (2014)

[49]

Bradley M.M., Emotion and motivation, Handbook of Psychophysiology, pp. 602-642, (2000)

[50]

Brodu N., Lotte F., Lecuyer A., Exploring two novel features for EEG-based brain-computer interfaces: Multifractal cumulants and predictive complexity, Neurocomputing, 79, pp. 87-94, (2012)

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