Relative subjective count and assessment of interruptive technologies applied to mobile monitoring of stress

International Journal of Human Computer Studies

Volumn 65, Issue 4, 2007, Pages 361-375

  Picard, Rosalind W ^a   Liu, Karen K ^b  

^a MIT MEDIA LAB   (United States)

^b MICROSOFT   (United States)

Author keywords

Affective assessment; Frustration measures; Physiological monitoring; Relational computing; Relative subjective duration; Stress monitoring; Ubiquitous computing; Wearable and mobile computing

Indexed keywords

PHYSIOLOGY; STRESS ANALYSIS; WEARABLE COMPUTERS;

AFFECTIVE ASSESSMENT; FRUSTRATION MEASURES; PHYSIOLOGICAL MONITORING; RELATIONAL COMPUTING; RELATIVE SUBJECTIVE DURATION; STRESS MONITORING; UBIQUITOUS COMPUTING;

MOBILE COMPUTING;

EID: 33846827095     PISSN: 10715819     EISSN: 10959300     Source Type: Journal    
DOI: 10.1016/j.ijhcs.2006.11.019     Document Type: Article

References (28)

1. Bickmore T., and Picard R. Establishing and maintaining long-term human-computer relationships. ACM Transactions on Computer Human Interaction 12 2 (2005) 293-327
2. Czerwinski, M., Horvitz, E., Cutrell, E., 2001. Subjective duration assessment: an implicit probe for software usability. In: Proceedings of IHM-HCI, Lille, France.
3. Czerwinski, M., Horvitz, E., Wilhite, S., 2004. A diary study of task switching and interruptions. In: Proceedings of CHI, ACM Conference on Human Factors in Computing Systems, Vienna, Austria.
4. Dubin D. Rapid Interpretation of EKG's. fifth ed (1996), Cover Publishing Company, Florida
5. Fitsense 〈www.fitsense.com〉, 2004.
6. The Surgeon General's Office. Physical Activity and Health: A Report of the Surgeon General (1996), US Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Atlanta, GA
7. Horvitz, E., Apacible, J., 2003. Learning and reasoning about interruption. In: International Conference on Multimodal Interfaces. ACM, Vancouver, BC.
8. Horvitz E., et al. Models of attention in computing and communications: from principles to applications. Communications of the ACM 46 3 (2003) 52-59
9. Hudson, S.E., et al., 2003. Predicting human interruptibility with sensors: A wizard of Oz feasibility study. In: Proceedings of CHI.
10. Intille, S., et al., 2003. A context-aware experience sampling tool. In: Proceedings of the Conference on Human Factors and Computing Systems.
11. Intille, S.S., et al., 2003. Tools for studying behavior and technology in natural settings. UbiComp 2003: Ubiquitous Computing. Springer, Berlin.
12. Klein J., Moon Y., and Picard R.W. This computer responds to user frustration: theory, design, results, and implications. Interacting with Computers 14 (2002) 119-140
13. Larson R.W., and Csikszentmihalyhi M. The experience sampling method. New Directions for Methodology of Social and Behavioral Science 15 (1983) 41-56
14. Liu, K.K., 2004. A Personal, Mobile System for Understanding Stress and Interruptions, in Media Arts and Sciences. Massachusetts Institute of Technology, Cambridge.
15. McEwen B.S., and Stellar E. Stress and the individual: mechanisms leading to disease. Archives of Internal Medicine 153 (1993) 2093-2101
16. Mohrman D.E., and Heller L.J. Cardiovascular Physiology. third ed (1991), McGraw-Hill, Inc., New York
17. Mueller, F., Agamanolis, S., Picard, R.W., 2002. Exertion interfaces for sports over a distance. In: Proceedings of UIST, Paris, France.
18. Picard, R.W., Daily, S.B., 2005. Evaluating affective interactions: alternatives to asking what users feel. CHI Workshop on Evaluating Affective Interfaces: Innovative Approaches, Portland, OR.
19. Picard R.W., and Healey J. Affective wearables. Personal Technologies 1 4 (1997) 231-240
20. Prendinger H., and Ishizuka M. The empathic companion: a character-based interface that addresses user's affective states. International Journal of Applied Artificial Intelligence 19 3-4 (2005) 267-285
21. Redelmeier D.A., and Kahneman D. Patients' memories of painful medical treatments: real-time and retrospective evaluations of two minimally invasive procedures. Pain 66 1 (1996) 3-8
22. Reeves B., and Nass C. The Media Equation (1996), Cambridge University Press, New York
23. Rondoni, J., 2003. A Context-Aware Application for Experience Sampling and Machine Learning. Massachusetts Institute of Technology.
24. Sapolsky R. Why Zebras Don't Get Ulcers: An Updated Guide to Stress, Stress-Related Disease, and Coping (1998), W.H. Freeman and Company, New York
25. Stone A.A., and Shiffman S. Ecological momentary assessment (EMA) in behavioral medicine. Annals of Behavioral Medicine 16 (1994) 199-202
26. Strath S.J., et al. Validity of the simultaneous heart rate-motion sensor technique for measuring energy expenditure. Medicine and Science in Sports and Exercise 34 5 (2002) 888-894
27. Stress in College: What Everyone Should Know, 2003. American College Health Association.
28. Walker, M., Consolvo, S., 2002. Experience sampling method for ubiquitous computing. Workshop on User-Centered Evaluation of Ubiquitous Computing Application, Ubicomp.