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An experimental study of field dependency in altered Gz environments

Published:04 April 2009Publication History

ABSTRACT

Failure to address extreme environments constraints at the human-computer interaction level may lead to the commission of critical and potentially fatal errors. This experimental study addresses gaps in our current theoretical understanding of the impact of ±Gz accelerations and field dependency independency on task performance in human-computer interaction. It investigates the effects of ±Gz accelerations and field dependency independency on human performance in the completion of perceptual-motor tasks on a personal digital assistant (PDA). We report the results of a controlled experiment, conducted in an aerobatic aircraft under multiple ±Gz conditions, showing that cognitive style significantly impacts latency and accuracy in target acquisition for perceptual-motor tasks in altered ±Gz environments and propose design guidelines as countermeasures. Based on the results, we argue that developing design requirements taking into account cognitive differences in extreme environments will allow users to execute perceptual-motor tasks efficiently without unnecessarily increasing cognitive load and the probability of critical errors.

References

  1. W. B. Albery. Acceleration in other axes affects ±Gz tolerance: Dynamic centrifuge simulation of agile flight. Aviation, Space, and Environmental Medicine, 75(1):1--6, 2004.Google ScholarGoogle Scholar
  2. L. Andrea, Z. Shumin, and B. William. Manual and cognitive benefits of two-handed input: an experimental study. ACM Trans. Comput.-Hum. Interact., 5(4):326--359, 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. P. B. Angood, R. Satava, C. Doarn, and R. Merrel. Telemedicine at the top of the world: the 1998 and 1999 Everest extreme expeditions. Telemedicine Journal and e-Health, 6(3):315--25, 2000.Google ScholarGoogle Scholar
  4. Atchley:Paul. Perceptual style and tracking performance. International Journal of Aviation Psychology, 1(3):255--260, 1991.Google ScholarGoogle ScholarCross RefCross Ref
  5. P. Benni, J. Li, B. Chen, J. Cammarota, and D. Amory. NIRS monitoring of pilots subjected to ±Gz acceleration and G-induced loss of consciousness (G-LOC). Advances in experimental medicine and biology, 530:371--9, 2003.Google ScholarGoogle Scholar
  6. M. Bloomberg. Field independence-dependence and susceptibility to distraction. Perceptual and Motor Skills, 20:805--813, 1965.Google ScholarGoogle ScholarCross RefCross Ref
  7. M. Bloomberg. Differences between field independent and field dependent persons on the stroop color-word test. Journal of Clinical Psychology, 25(1):45--45, 1969.Google ScholarGoogle ScholarCross RefCross Ref
  8. J. A. Bohan, D. A. Boehm-Davis, and R. Marshall. The role of individual differences in choice of strategy and performance in a computer-based task. Xbnrl, George Mason University, Fairfax, VA., June 1995.Google ScholarGoogle Scholar
  9. P. Brown, P. Hartmann, A. Schellhase, A. Powers, T. Brown, C. Hartmann, and D. Gaines. 2E-3 Asset tracking on the international space station using global SAW tag RFID technology. In Ultrasonics Symposium, 2007. IEEE, pages 72--75, 2007.Google ScholarGoogle ScholarCross RefCross Ref
  10. S. K. Card, T. P. Moran, and A. Newell. The psychology of human-computer interaction. Erlbaum, 1984. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. J. P. Chin, V. A. Diehl, and K. L. Norman. Development of an instrument measuring user satisfaction of the human-computer interface. In ACM, editor, SIGCHI'88, pages 213--218, New York, 1988. ACM. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. M. Di Rienzo, G. Parati, F. Rizzo, P. Meriggi, G. Merati, A. Faini, and P. Castiglioni. Heart rate monitoring and control in altered gravity conditions. In Engineering in Medicine and Biology Society (EMBS) 2007. 29th Annual International Conference of the IEEE, pages 6681--6684, 2007.Google ScholarGoogle Scholar
  13. P. M. Fitts. The information capacity of the human motor system in controlling the amplitude of movement. Journal of Experimental Psychology, 47(6):381--391, 1954.Google ScholarGoogle ScholarCross RefCross Ref
  14. K. Fong and S. Fan. An overview of the physiological effects of sustained high ±Gz forces on human being. Annals Academy of Medicine Singapore, pages 94--103, 1997.Google ScholarGoogle Scholar
  15. D. Gaffie, A. Guillaume, and P. Quandieu. Modeling and numerical simulation of the cerebral blood flow under acceleration. The Physiologist, 36(1 Suppl.), 1993.Google ScholarGoogle Scholar
  16. S. Galvagno, T. Massa, and S. Price. Acceleration risk in student fighter pilots: preliminary analysis of a management program. Aviation, Space, and Environmental Medicine, 75(12):1077--1080, 2004.Google ScholarGoogle Scholar
  17. K. Gillingham. High-G stress and orientational stress: physiologic effects of aerial maneuvering. Aviation, Space&Environmental Medicine, 59, 1988.Google ScholarGoogle Scholar
  18. W. E. Hick. On the rate of gain of information. The Quarterly Journal of Experimental Psychology, 4(1):11--26, 1952.Google ScholarGoogle ScholarCross RefCross Ref
  19. E. Hill and K. Eigenbaum. Altering field dependence through stress. Perceptual and Motor Skills, 23(3), 1966.Google ScholarGoogle Scholar
  20. R. Hyman. Stimulus information as a determinant of reaction time. Journal of Experimental Psychology, 45:188--196., 1953.Google ScholarGoogle ScholarCross RefCross Ref
  21. M. Kozhevnikov. Cognitive styles in the context of modern psychology: Toward an integrated framework of cognitive style. Psychological Bulletin, 133(3):464--481, 2007.Google ScholarGoogle ScholarCross RefCross Ref
  22. R. M. Kurtz. A conceptual investigation of Witkin's notion of perceptual style. Mind, 78(312):522--533, 1969.Google ScholarGoogle ScholarCross RefCross Ref
  23. S. Leverett and R. Burton. Physiological effect of high, sustained ±Gz forces on man. Life sciences and space research, 17:171--85, 1979.Google ScholarGoogle Scholar
  24. N. Leveson. Software safety: Why, what, and how. ACM Computing Surveys, 18(2), 1986. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. G. Long, R. Ambler, and G. F.E. Relationship between perceptual style and reactivity to motion. Applied Psychology, 60(5):599--605, 1975.Google ScholarGoogle ScholarCross RefCross Ref
  26. G. M. Long. Field dependency-interdependency. a review of the literature. Monograph 19, Naval Aerospace Medical Research Lab, Pensacola,FL., June 21 1972.Google ScholarGoogle Scholar
  27. L. Luo and B. John. Predicting task execution time on handheld devices using the keystroke-level model, 2005.Google ScholarGoogle Scholar
  28. K. Montgomery, C. Mundt, G. Thonier, A. Tellier U. Udoh, V. Barker, R. Ricks, L. Giovangrandi, P. Davies, Y. Cagle, J. Swain, J. Hines, and G. Kovacs. Lifeguard: A personal physiological monitor for extreme environments. In 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2004.Google ScholarGoogle ScholarCross RefCross Ref
  29. J. G. Morrison, E. Forster, E. M. Hitchcock, C. A. Barba, T. P. Santarelli, and M. W. Scerbo. Cumulative effects of ±Gz on cognitive performance. In: Proceedings of the Human Factors and Ergonomics Society 38th Annual Meeting, 1:46--50, 1994.Google ScholarGoogle ScholarCross RefCross Ref
  30. K. Mundt, C.W.and Montgomery. A multiparameter wearable physiologic monitoring system for space and terrestrial applications. In Information Technology in Biomedicine, IEEE Transactions on, volume 9, pages 382--391, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. NASA. Man-systems integration standards. NASA-STD-3000-Man-Systems Integration Standards (MSIS)Revision B, July 1995 Section 5.9.2 Combined Environmental Effects Design Considerations, 1, 1995.Google ScholarGoogle Scholar
  32. J. Onopa, M. Le Pape, G. Thonier, S. Saiki, K. Montgomery, and L. Burgess. High altitude research Hawaii. In 13th International Hypoxia Symposium, pages 451--451, Banff, Alberta, Canada., 2003.Google ScholarGoogle Scholar
  33. J. Piaget and B. Inhelder. The child's conception of space. W. W. Norton, New York, 1967.Google ScholarGoogle Scholar
  34. J. Preece, Y. Rogers, and H. Sharp. Interaction Design: Beyond Human-Computer Interaction. J. Wiley and Sons, New York, NY, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. C. A. Rickards and D. G. Newman. G-induced visual and cognitive disturbances in a survey of 65 operational fighter pilots. Aviation, Space, and Environmental Medicine, 76(5):496--500, 2005.Google ScholarGoogle Scholar
  36. T. Rodden, K. Chervest, N. Davies, and A. Dix. Exploiting context in HCI design for mobile systems. In Workshop on Human Computer Interaction with Mobile Devices, 1998.Google ScholarGoogle Scholar
  37. P. M. Sanderson, M. O. Watson, and W. J. Russell. Advanced patient monitoring displays: Tools for continuous informing. Anesthesia&Analgesia, 101(1):161--168, 2005.Google ScholarGoogle ScholarCross RefCross Ref
  38. V. Sarris, E. Heineken, and H. Peters. Effects of stress on field dependence. Perceptual and motor skills, 43(1):121--2, 1976.Google ScholarGoogle Scholar
  39. M. W. Scerbo. The effects of positive acceleration on cognitive performance: Big G -- little know. In: Proceedings of the Human Factors and Ergonomics Society 39th Annual Meeting, 1:35--39, 1995.Google ScholarGoogle ScholarCross RefCross Ref
  40. B. Shender, E. Forster, L. Hrebien, H. Ryoo, and J. Cammarota. Acceleration-induced near-loss of consciousness: The 'A-LOC' syndrome. Aviation, Space, and Environmental Medicine, 74(10):1021--8, 2003.Google ScholarGoogle Scholar
  41. C. D. Wickens. Engineering psychology and human performance. Prentice Hall, Upper Saddle River, NJ, 3rd edition, 2000.Google ScholarGoogle Scholar
  42. C. D. Wickens. Attention and aviation display layout: Research and modeling. Technical Report Contract NASA NAG 2-1535, NASA Ames Research Center, 2005.Google ScholarGoogle Scholar
  43. H. Witkin. The perception of the upright. Scientific American, 200(2):51--56, 1959.Google ScholarGoogle ScholarCross RefCross Ref
  44. H. A. Witkin and D. R. Goodenough. Cognitive Styles, Essence and Origins: Field Dependence and Field Independence. International Universities Press, New York, 1981.Google ScholarGoogle Scholar
  45. J. Wobbrock, E. Cutrell, S. Harada, and S. MacKenzie. An error model for pointing based on Fitts' law, 2008.Google ScholarGoogle Scholar

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              cover image ACM Conferences
              CHI '09: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
              April 2009
              2426 pages
              ISBN:9781605582467
              DOI:10.1145/1518701

              Copyright © 2009 ACM

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              Publication History

              • Published: 4 April 2009

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              CHI '09 Paper Acceptance Rate277of1,130submissions,25%Overall Acceptance Rate6,199of26,314submissions,24%

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