Stress Recognition in Daily Work

Automatic detection of work-related stress has attracted an increasing amount of attention from researchers from various disciplines and industries. An experiment is discussed in this paper that was designed to evaluate the efficacy of multimodal sensor measures that have often been used but not yet been systematically tested and compared with each other in previous work, such as pressure distribution sensor, physiological sensors, and an eye tracker. We used the Stroop test and information pick up task as the stressors. In the subject independent case in particular, signals from the combined (chair and floor) pressure distribution sensors, which we consider the most feasible sensors in the office environment, resulted in higher recognition accuracy rates than the physiological or eye tracker signals for the two stressors.

[1]  F. Mokhayeri,et al.  Mental stress detection using physiological signals based on soft computing techniques , 2011, 2011 18th Iranian Conference of Biomedical Engineering (ICBME).

[2]  Jean-Claude Martin,et al.  Multimodal Expressions of Stress during a Public Speaking Task: Collection, Annotation and Global Analyses , 2013, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction.

[3]  Elizabeth A. Krupinski,et al.  Recording and analyzing eye-position data using a microcomputer workstation , 1992 .

[4]  Thomas Brandt,et al.  Increased body sway at 3.5–8 Hz in patients with phobic postural vertigo , 1999, Neuroscience Letters.

[5]  James L. McClelland,et al.  Sensory and cognitive determinants of reading speed , 1975 .

[6]  Wessel Kraaij,et al.  The SWELL Knowledge Work Dataset for Stress and User Modeling Research , 2014, ICMI.

[7]  Mary Czerwinski,et al.  Under pressure: sensing stress of computer users , 2014, CHI.

[8]  Kristy Elizabeth Boyer,et al.  Analyzing Posture and Affect in Task-Oriented Tutoring , 2012, FLAIRS Conference.

[9]  A. Barreto,et al.  Stress Detection in Computer Users Based on Digital Signal Processing of Noninvasive Physiological Variables , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[10]  Emre Ertin,et al.  Continuous inference of psychological stress from sensory measurements collected in the natural environment , 2011, Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks.

[11]  Robert J Peterka,et al.  Dynamic regulation of sensorimotor integration in human postural control. , 2004, Journal of neurophysiology.

[12]  Jonghwa Kim,et al.  Bimodal Emotion Recognition using Speech and Physiological Changes , 2007 .

[13]  M. Bradley,et al.  Emotion, Motivation, and Anxiety: Brain Mechanisms and Psychophysiology the Motivational Organization of Emotion Patterns of Human Emotion Emotion and Perception the Psychophysiology of Picture Processing Neural Imaging: Motivation in the Visual Cortex Motivational Circuits in the Brain , 2022 .

[14]  A. Bakker,et al.  The job demands-resources model of burnout. , 2001, The Journal of applied psychology.

[15]  Chao Li,et al.  Realization of stress detection using psychophysiological signals for improvement of human-computer interactions , 2005, Proceedings. IEEE SoutheastCon, 2005..

[16]  Samara L. Firebaugh,et al.  Cognitive stress recognition , 2013, 2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC).

[17]  Johannes Wagner,et al.  The Social Signal Interpretation Framework (SSI) for Real Time Signal Processing and Recognition , 2011, INTERSPEECH.

[18]  Jennifer Healey,et al.  Toward Machine Emotional Intelligence: Analysis of Affective Physiological State , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[19]  Jan Meyer,et al.  Design and Modeling of a Textile Pressure Sensor for Sitting Posture Classification , 2010, IEEE Sensors Journal.

[20]  S. Hart,et al.  Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research , 1988 .

[21]  S. Martinez-Conde,et al.  Neuroscience and Biobehavioral Reviews , 2022 .

[22]  E. Gordon,et al.  Defining the temporal threshold for ocular fixation in free-viewing visuocognitive tasks , 2003, Journal of Neuroscience Methods.

[23]  J. Blondin,et al.  The stress of Stroop performance: physiological and emotional responses to color-word interference, task pacing, and pacing speed. , 1997, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[24]  Patrick Robertson,et al.  Sensor-based identification of human stress levels , 2013, 2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops).

[25]  Gerhard Tröster,et al.  What Does Your Chair Know About Your Stress Level? , 2010, IEEE Transactions on Information Technology in Biomedicine.