Measuring Psychophysiological Signals in Every-Day Situations
Pages 720 - 728
Abstract
Psychophysiological signals enable computer systems to monitor the emotional state of a user. Such a system could adapt its behavior to reduce stress, give assistance, or suggest well-being tips. All of this should lead to a technology that is more user-friendly and more accessible to older people. Measuring physiological signals in research labs has been done for many years. In such a controlled environment the quality of signals is very high because of the optimal placement of electrodes by research staff. Analysis techniques can therefore rely on high quality data. Measuring physiological signals in real-life settings without the assistance of well-trained staff, is much more challenging because of artifacts and signal distortions.
In this paper we discuss the approach taken in the Aladin project to cope with the inferior and unreliable quality of physiological signal measurements. We discuss a sensor design intended for every-day use and present the variance of skin conductance we experienced within measurements, between different measurements of the same individual as well as between different persons. Finally, we suggest using trends instead of absolute values as a basis for physiology-enhanced human-computer interaction "in the wild".
References
[1]
Acharya, R.U., Joseph, P.K., Kannathal, N., Choo Min, L., Suri, J.S.: Heart Rate Variability. In: Acharya, R.U., Suri, J.S., Spaan, J.A.E., Krishnan, S.M. (eds.) Advances in Cardiac Signal Processing, pp. 121-166. Springer, Berlin (2007).
[2]
Cacioppo, J.T., Tassinary, L.G., Fridlund, A.J.: The Skeletomotor System. In: Cacioppo, J.T., Tassinary, L.G. (eds.) Principles of Psychophysiology, pp. 325-384. Cambridge University Press, Cambridge (1990).
[3]
Clifford, G.D.: ECG Statistics, Noise, Artifacts, and Missing Data. In: Acharya, R.U., Suri, J.S., Spaan, J.A.E., Krishnan, S.M. (eds.) Advanced Methods and Tools for ECG Data Analysis, pp. 55-100. Artech House, Boston (2007).
[4]
Coles, M.G.H., Gratton, G., Fabiani, M.: Event-Related Brain Potentials. In: Cacioppo, J.T., Tassinary, L.G. (eds.) Principles of Psychophysiology, pp. 413-455. Cambridge University Press, Cambridge (1990).
[5]
Dawson, M.E., Schell, A.M., Filion, D.L.: The Electrodermal System. In: Cacioppo, J.T., Tassinary, L.G. (eds.) Principles of Psychophysiology, pp. 295-324. Cambridge University Press, Cambridge (1990).
[6]
Duffy, E.: Activation. In: Greenfield, N., Sternbach, R. (eds.) Handbook of Psychophysiology, pp. 577-622. Holt, Reinhart and Winston, New York (1972).
[7]
Eckman, P.: Methods for Measuring Facial Action. In: Scherer, K.R., Ekman, P. (eds.) Handbook of Methods in Nonverbal Behavior Research, pp. 45-90. Cambridge University Press, Cambridge (1982).
[8]
Izsó, L.: Developing Evaluation Methodologies for Human-Computer Interaction. Delft University Press, Delft (2001).
[9]
Kempter, G., Maier, E.: Increasing Psycho-physiological Wellbeing by Means of an Adaptive Lighting System. In: Cunningham, P., Cunningham, M. (eds.) Expanding the Knowledge Economy: Issues, Applications, Case studies, pp. 529-536. IOS, Amsterdam (2007).
[10]
Kempter, G., Ritter, W.: Einsatz von Psychophysiologie in der Mensch-Computer Interaktion. In: Heinecke, A.M., Paul, H. (eds.) Mensch & Computer 2006. Mensch und Computer im Strukturwandel, pp. 165-174. Oldenbourg, Müünchen (2006).
[11]
Kempter, G., Ritter, W., Dontschewa, M.: Evolutionary Feature Detection in Interactive Biofeedback Interfaces. In: Universal Access in HCI: Exploring New Interaction Environments. HCII 2005 Las Vegas Paper Presentation. CD-ROM (2005).
[12]
Papillo, J.F., Shapiro, D.: The Cardiovascular System. In: Cacioppo, J.T., Tassinary, L.G. (eds.) Principles of Psychophysiology, pp. 456-512. Cambridge University Press, Cambridge (1990).
[13]
Picard, R.W.: Affective Computing. MIT Press, Cambridge (1997).
[14]
Ray, W.J.: The Electrocortical System. In: Cacioppo, J.T., Tassinary, L.G. (eds.) Principles of Psychophysiology, pp. 385-455. Cambridge University Press, Cambridge (1990).
[15]
Ritter, W., Becker, K., Kempter, G.: Mobile Physiology Monitoring Systems. In: Maier, E., Roux, P. (eds.) Seniorengerechte Schnittstellen zur Technik, pp. 78-84. Pabst Science Publishers, Lengerich (2008).
[16]
Vossel, G., Zimmer, H.: Psychophysiologie. Verlag W. Kohlhammer, Stuttgart (1998).
Recommendations
A Hybrid Approach at Emotional State Detection: Merging Theoretical Models of Emotion with Data-Driven Statistical Classifiers
WI-IAT '13: Proceedings of the 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) - Volume 02With the rising popularity of affective computing techniques, there have been several advances in the field of emotion recognition systems. However, despite the several advances in the field, these systems still face scenario adaptability and practical ...
Affective Computer-Generated Stimulus Exposure: Psychophysiological Support for Increased Elicitation of Negative Emotions in High and Low Fear Subjects
FAC '09: Proceedings of the 5th International Conference on Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience: Held as Part of HCI International 2009The present study examined physiological measures of affect when viewing images from the International Affective Picture System (IAPS), computer-generated still images, and computer-generated videos of feared and non-feared stimuli. Twenty low fear (LF) ...
PanoEmo, a set of affective 360-degree panoramas: a psychophysiological study
AbstractThere is a significant increase in the use of virtual reality in scientific experiments in the fields of ergonomics, education, and psychology among others. Many researchers successfully provoked different affective states in participants in order ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 14 July 2009
Author Tags
Qualifiers
- Article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 14 Nov 2024
Other Metrics
Citations
View Options
View options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in