Cognitive collaboration found in cardiac Physiology: Study in classroom environment

PLoS ONE

Volumn 11, Issue 7, 2016, Pages

  Ahonen, Lauri ^a   Cowley, Benjamin ^a,b   Torniainen, Jari ^a   Ukkonen, Antti ^a   Vihavainen, Arto ^b   Puolamäki, Kai ^a  

^a FINNISH INSTITUTE OF OCCUPATIONAL HEALTH   (Finland)

^b UNIVERSITY OF HELSINKI   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; COGNITION; COOPERATION; ELECTROCARDIOGRAPHY; FEMALE; HEART RATE VARIABILITY; HUMAN; HUMAN EXPERIMENT; MALE; MENTAL LOAD; NATURALISTIC INQUIRY; NORMAL HUMAN; SELF REPORT; STUDENT; TEAMWORK; YOUNG ADULT; ADOLESCENT; EDUCATION; HEART RATE; HUMAN RELATION; INFORMATION SCIENCE; PHYSIOLOGY; PROBLEM SOLVING; PRODUCTIVITY; PSYCHOLOGY; SOFTWARE DESIGN; WORKLOAD;

ADOLESCENT; ADULT; COGNITION; COOPERATIVE BEHAVIOR; EFFICIENCY; ELECTROCARDIOGRAPHY; FEMALE; HEART RATE; HUMANS; INFORMATICS; INTERPERSONAL RELATIONS; MALE; PROBLEM SOLVING; SOFTWARE DESIGN; STUDENTS; WORKLOAD; YOUNG ADULT;

EID: 84978417768     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0159178     Document Type: Article

References (48)

1. Bani-Salameh H, Jeffery C. Collaborative and Social Development Environments: A Literature Review. Int J Comput Appl Technol. 2014 Apr; 49(2):89-103. doi: 10.1504/IJCAT.2014.060520
2. Ackerman MS. The Intellectual Challenge of CSCW: The Gap Between Social Requirements and Technical Feasibility. Hum-Comput Interact. 2000 Sep; 15(2):179-203. doi: 10.1207/ S15327051HCI1523-5
3. Reis HT, Judd CM. Handbook of Research Methods in Social and Personality Psychology. Cambridge University Press; 2000.
4. Henning RA, Boucsein W, Claudia Gil M. Social-physiological compliance as a determinant of team performance. International Journal of Psychophysiology. 2001 Apr; 40(3):221-232. doi: 10.1016/ S0167-8760(00)00190-2 PMID: 11228349
5. Bartel CA, Saavedra R. The Collective Construction of Work Group Moods. Administrative Science Quarterly. 2000 Jun; 45(2):197-231. doi: 10.2307/2667070
6. Akgün AE, Keskin H, Cebecioglu AY, Dogan D. Antecedents and consequences of collective empathy in software development project teams. Information & Management. 2015 mar; 52(2):247-259. doi: 10. 1016/j.im.2014.11.004
7. Williams L, Kessler R. Pair Programming Illuminated. Boston, MA, USA: Addison-Wesley Longman Publishing Co., Inc.; 2002.
8. Nagappan N, Williams L, Ferzli M, Wiebe E, Yang K, Miller C, et al. Improving the CS1 Experience with Pair Programming. SIGCSE Bull. 2003 Jan; 35(1):359-362. doi: 10.1145/792548.612006
9. Begel A, Nagappan N. Pair Programming: What's in It for Me? In: Proceedings of the Second ACM-IEEE International Symposium on Empirical Software Engineering and Measurement. ESEM'08. New York, NY, USA: ACM; 2008. p. 120-128.
10. Williams L, Kessler RR, Cunningham W, Jeffries R. Strengthening the Case for Pair Programming. IEEE Softw. 2000 Jul; 17(4):19-25. doi: 10.1109/52.854064
11. Katira N, Williams L, Wiebe E, Miller C, Balik S, Gehringer E. On Understanding Compatibility of Student Pair Programmers. SIGCSE Bull. 2004 Mar; 36(1):7-11. doi: 10.1145/1028174.971307
12. Choi KS, Deek FP, Im I. Exploring the Underlying Aspects of Pair Programming: The Impact of Personality. Inf Softw Technol. 2008 Oct; 50(11):1114-1126. doi: 10.1016/j.infsof.2007.11.002
13. Chaparro EA, Yuksel A, Romero P, Bryant S. Factors Affecting the Perceived Effectiveness of Pair Programming in Higher Education. 17th Workshop Psychology of Programming Interest Group (PPIG 2005). 2005;p. 5-18.
14. Jung M, Chong J, Leifer L. Group hedonic balance and pair programming performance. In: Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems-CHI'12. New York, New York, USA: ACM Press; 2012. p. 829.
15. Lovallo WR. Cardiovascular reactivity: Mechanisms and pathways to cardiovascular disease. International Journal of Psychophysiology. 2005 Nov; 58(2-3):119-132. doi: 10.1016/j.ijpsycho.2004.11.007 PMID: 16150506
16. Henelius A, Hirvonen K, Holm A, Korpela J, Müller K. Mental workload classification using heart rate metrics. In: 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE; 2009. p. 1836-1839.
17. Skibniewski FW, Dziuda L, Baran PM, Krej MK, Guzowski S, Piotrowski MA, et al. Preliminary Results of the LF/HF Ratio as an Indicator for Estimating Difficulty Level of Flight Tasks. Aerospace Medicine and Human Performance. 2015 Jun; 86(6):518-523. doi: 10.3357/AMHP.4087.2015 PMID: 26099122
18. Kristiansen J, Mathiesen L, Nielsen P, Hansen A, Shibuya H, Petersen H, et al. Stress reactions to cognitively demanding tasks and open-plan office noise. International Archives of Occupational and Environmental Health. 2008 Oct; 82(5):631-641. doi: 10.1007/s00420-008-0367-4 PMID: 18936956
19. Hjortskov N, Rissén D, Blangsted AK, Fallentin N, Lundberg U, Søgaard K. The effect of mental stress on heart rate variability and blood pressure during computer work. European Journal of Applied Physiology. 2004; 92(1-2):84-89. doi: 10.1007/s00421-004-1055-z PMID: 14991326
20. Thayer JF, Hansen AL, Saus-Rose E, Johnsen BH. Heart Rate Variability, Prefrontal Neural Function, and Cognitive Performance: The Neurovisceral Integration Perspective on Self-regulation, Adaptation, and Health. Annals of Behavioral Medicine. 2009 May; 37(2):141-153. doi: 10.1007/s12160-009-9101-z PMID: 19424767
21. Lane RD, McRae K, Reiman EM, Chen K, Ahern GL, Thayer JF. Neural correlates of heart rate variability during emotion. NeuroImage. 2009 Jan; 44(1):213-222. doi: 10.1016/j.neuroimage.2008.07.056 PMID: 18778779
22. Ter Horst GJ. Central Autonomic Control of the Heart, Angina, and Pathogenic Mechanismsof Post-Myocardial Infarction Depression. European Journal of Morphology. 1999 Oct; 37(4/5):257. PMID: 10477471
23. Malik M, Bigger JT, Camm AJ, Kleiger RE, Malliani A, Moss AJ, et al. Heart rate variability standards of measurement, physiological interpretation, and clinical use. European heart journal. 1996; 17(3):354-381
24. Balocchi R, Cantini F, Varanini M, Raimondi G, Legramante JM, Macerata A. Revisiting the potential of time-domain indexes in short-term HRV analysis. Biomedizinische Technik. 2006; 51(4):190-193. doi: 10.1515/BMT.2006.034 PMID: 17061936
25. Wang HM, Huang SC. SDNN/RMSSD as a Surrogate for LF/HF: A Revised Investigation. Modelling and Simulation in Engineering. 2012 Aug; 2012:e931943. doi: 10.1155/2012/931943
26. Zhang H, Zhu M, Zheng Y, Li G. Toward Capturing Momentary Changes of Heart Rate Variability by a Dynamic Analysis Method. PLoS ONE. 2015 Jul; 10(7):e0133148. doi: 10.1371/journal.pone.0133148 PMID: 26172953
27. Smith AL, Owen H, Reynolds KJ. Heart rate variability indices for very short-term (30 beat) analysis. Part 1: survey and toolbox. Journal of Clinical Monitoring and Computing. 2013 May; 27(5):569-576. doi: 10.1007/s10877-013-9473-2 PMID: 23674071
28. Goldberger JJ. Sympathovagal balance: how should we measure it? American Journal of Physiology-Heart and Circulatory Physiology. 1999 Apr; 276(4):H1273-H1280.
29. Meltzoff AN, Moore MK. Imitation of facial and manual gestures by human neonates. Science (New York, NY). 1977 oct; 198(4312):74-8. doi: 10.1126/science.198.4312.75
30. Call J, Tomasello M. The social learning of tool use by orangutans (Pongo pygmaeus). Human Evolution. 1994 oct; 9(4):297-313. doi: 10.1007/BF02435516
31. van Schaik CP, Fox EA, Sitompul AF. Manufacture and use of tools in wild Sumatran orangutans. Naturwissenschaften. 1996 apr; 83(4):186-188. doi: 10.1007/BF01143062 PMID: 8643126
32. Massen C, Prinz W. Movements, actions and tool-use actions: an ideomotor approach to imitation. Philosophical Transactions of the Royal Society B: Biological Sciences. 2009; 364(1528):2349-2358. doi: 10.1098/rstb.2009.0059
33. Gottman JM. Detecting cyclicity in social interaction. Psychological Bulletin. 1979 Mar; 86(2):338-348. doi: 10.1037/0033-2909.86.2.338
34. Henning RA, Armstead AG, Ferris JK. Social psychophysiological compliance in a four-person research team. Applied Ergonomics. 2009 Nov; 40(6):1004-1010. doi: 10.1016/j.apergo.2009.04.009 PMID: 19523609
35. Smith TJ, Smith KU. Feedback control mechanisms of human behavior. In: Salvendy G, editor. Handbook of Human Factors. New York: Wiley; 1987. p. 251-293.
36. Smith TJ, Henning RA, Smith KU. Sources of performance variability. In: Salvendy G, Karwowski W, editors. Design of Work and Development of Personnel in Advanced Manufacturing. New York: Wiley; 1994. p. 273-330.
37. Elkins AN, Muth ER, Hoover AW, Walker AD, Carpenter TL, Switzer FS. Physiological compliance and team performance. Applied ergonomics. 2009 Nov; 40(6):997-1003. doi: 10.1016/j.apergo.2009.02. 002 PMID: 19269626
38. Leeuwen PV, Geue D, Thiel M, Cysarz D, Lange S, Romano MC, et al. Influence of paced maternal breathing on fetal-maternal heart rate coordination. Proceedings of the National Academy of Sciences. 2009 Aug; 106(33):13661-13666. doi: 10.1073/pnas.0901049106
39. Levenson RW, Gottman JM. Marital interaction: physiological linkage and affective exchange. Journal of Personality and Social Psychology. 1983 Sep; 45(3):587-597. doi: 10.1037/0022-3514.45.3.587 PMID: 6620126
40. Chanel G, Kivikangas JM, Ravaja N. Physiological compliance for social gaming analysis: Cooperative versus competitive play. Interacting with Computers. 2012; 24(4):306-316. Special Issue on Presence and Interaction. doi: 10.1016/j.intcom.2012.04.012
41. Spapé MM, Kivikangas JM, Järvelä S, Kosunen I, Jacucci G, Ravaja N. Keep Your Opponents Close: Social Context Affects EEG and fEMG Linkage in a Turn-Based Computer Game. PLoS ONE. 2013 jan; 8(11):e78795. doi: 10.1371/journal.pone.0078795 PMID: 24278112
42. Chênes C, Chanel G, Soleymani M, Pun T. Highlight Detection in Movie Scenes Through Inter-users, Physiological Linkage. In: Ramzan N, van Zwol R, Lee JS, Clêver K, Hua XS, editors. Social Media Retrieval. Computer Communications and Networks. Springer London; 2013. p. 217-237.
43. Suthers DD. Technology affordances for intersubjective learning: a thematic agenda for CSCL. In: Chan TW, editor. CSCL'05 Proceedings of the 2005 conference on Computer support for collaborative learning: the next 10 years! International Society of the Learning Sciences; 2005. p. 662-671.
44. Hart SG, Staveland LE. Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research. In: Hancock PA, Meshkati N, editors. Human Mental Workload. vol. 52 of Advances in Psychology. North-Holland; 1988. p. 139-183.
45. R Core Team. R: A Language and Environment for Statistical Computing. Vienna, Austria; 2016. Available from: https://www.R-project.org.
46. Henelius A. Colibri. GitHub; 2016. https://github.com/bwrc/colibri/.
47. Good P. Permutation Tests: A Practical Guide to Resampling Methods for Testing Hypotheses. Springer Science & Business Media; 2004.
48. Vihavainen A, Vikberg T, Luukkainen M, Pärtel M. Scaffolding Students' Learning Using Test My Code. In: Proceedings of the 18th ACM Conference on Innovation and Technology in Computer Science Education. ITiCSE'13. New York, NY, USA: ACM; 2013. p. 117-122.