Have a personal or library account? Click to login
High-dimensional Metaverse Platforms and the Virtually Extended Self Cover

High-dimensional Metaverse Platforms and the Virtually Extended Self

Open Access
|Jan 2024

References

  1. Aanstoos, C. M. (1991). Experimental psychology and the challenge of real life. American Psychologist, 46, 7778. DOI: 10.1037/0003-066X.46.1.77
  2. Abbott, E. A. (1952). Flatland: A Romance of Many Dimensions: With Illus. by the Author, a Square. Dover Publications.
  3. Adolph, K. E. (2019). “Ecological validity: mistaking the lab for real life.” In My Biggest Research Mistake: Adventures and Misadventures in Psychological Research, Ed. R. Sternberg (New York, NY: Sage), 187190. DOI: 10.4135/9781071802601.n58
  4. Araujo, D., Davids, K., & Passos, P. (2007). Ecological validity, representative design, and correspondence between experimental task constraints and behavioral setting: comment on Rogers. Kadar, and Costall (2005). Ecol. Psychol., 19, 6978. DOI: 10.1080/10407410709336951
  5. Banaji, M. R., & Crowder, R. G. (1989). The bankruptcy of everyday memory. American Psychologist, 44(9), 1185. DOI: 10.1037/0003-066X.44.9.1185
  6. Barnier, A. J. (2012). Memory, ecological validity and a barking dog. Memory Studies, 5(4), 351359. DOI: 10.1177/1750698012461243
  7. Baumgartner, T., Valko, L., Esslen, M., & Jäncke, L. (2006). Neural correlate of spatial presence in an arousing and noninteractive virtual reality: an EEG and psychophysiology study. CyberPsychology & Behavior, 9(1), 3045. DOI: 10.1089/cpb.2006.9.30
  8. Beauchamp, M. H. (2017). Neuropsychology’s social landscape: Common ground with social neuroscience. Neuropsychology, 31(8), 981. DOI: 10.1037/neu0000395
  9. Bréchet, L., Mange, R., Herbelin, B., Theillaud, Q., Gauthier, B., Serino, A., & Blanke, O. (2019). First-person view of one’s body in immersive virtual reality: Influence on episodic memory. PLoS One, 14(3), e0197763. DOI: 10.1371/journal.pone.0197763
  10. Cabeza, R., Prince, S. E., Daselaar, S. M., Greenberg, D. L., Budde, M., Dolcos, F., … & Rubin, D. C. (2004). Brain activity during episodic retrieval of autobiographical and laboratory events: an fMRI study using a novel photo paradigm. Journal of cognitive neuroscience, 16(9), 15831594. DOI: 10.1162/0898929042568578
  11. Cabeza, R., & St Jacques, P. (2007). Functional neuroimaging of autobiographical memory. Trends in Cognitive Sciences, 11, 219227. DOI: 10.1016/j.tics.2007.02.005
  12. Cai, C., Yuan, K., Yin, J., Feng, D., Bi, Y., Li, Y., … & Tian, J. (2016). Striatum morphometry is associated with cognitive control deficits and symptom severity in internet gaming disorder. Brain imaging and behavior, 10, 1220. DOI: 10.1007/s11682-015-9358-8
  13. Chaytor, N., & Schmitter-Edgecombe, M. (2003). The ecological validity of neuropsychological tests: A review of the literature on everyday cognitive skills. Neuropsychology review, 13, 181197. DOI: 10.1023/B:NERV.0000009483.91468.fb
  14. Clark, A. (2008). Supersizing the Mind: Embodiment, Action, and Cognitive Extension. Oxford: Oxford University Press. DOI: 10.1093/acprof:oso/9780195333213.001.0001
  15. Clark, A. (2011). Finding the Mind: Book Symposium on Supersizing the Mind: Embodiment, Action, and Cognitive Extension (Oxford University Press, NY, 2008). Philosophical Studies, 152(3), 447461. DOI: 10.1093/acprof:oso/9780195333213.001.0001
  16. Clark, A. (2013). Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behavioral and brain sciences, 36(3), 181204. DOI: 10.1017/S0140525X12000477
  17. Clark, A., & Chalmers, D. (1998). The extended mind. Analysis, 58(1), 719. DOI: 10.1093/analys/58.1.7
  18. Clemente, M., Rey, B., Rodríguez-Pujadas, A., Barros-Loscertales, A., Baños, R. M., Botella, C., … & Ávila, C. (2014). An fMRI study to analyze neural correlates of presence during virtual reality experiences. Interacting with Computers, 26(3), 269284. DOI: 10.1093/iwc/iwt037
  19. Craig, A. D. (2009). How do you feel—now? The anterior insula and human awareness. Nature reviews neuroscience, 10(1), 5970. DOI: 10.1038/nrn2555
  20. Dennett, D. C. (1996). Kinds of Minds. New York: Basic Books.
  21. Ding, W. N., Sun, J. H., Sun, Y. W., Chen, X., Zhou, Y., Zhuang, Z. G., … & Du, Y. S. (2014). Trait impulsivity and impaired prefrontal impulse inhibition function in adolescents with internet gaming addiction revealed by a Go/No-Go fMRI study. Behavioral and Brain Functions, 10(1), 19. DOI: 10.1186/1744-9081-10-20
  22. Dombeck, D. A., & Reiser, M. B. (2012). Real neuroscience in virtual worlds. Current opinion in neurobiology, 22(1), 310. DOI: 10.1016/j.conb.2011.10.015
  23. Dunlosky, J., Bottiroli, S., & Hartwig, M. (2009). “Sins committed in the name of ecological validity: A call for representative design in education science.” In D. J. Hacker, J. Dunlosky, & A. C. Graesser (Eds.), Handbook of Metacognition in Education, Abingdon: Routledge, pp. 442452.
  24. Fitz, N. S., & Reiner, P. B. (2016). Perspective: Time to expand the mind. Nature, 531(7592), S9S9. DOI: 10.1038/531S9a
  25. Friston, K. (2010). The free-energy principle: a unified brain theory?. Nature reviews neuroscience, 11(2), 127138. DOI: 10.1038/nrn2787
  26. Friston, K. (2012). Embodied inference and spatial cognition. Cognitive Processing, 13, 171177. DOI: 10.1007/s10339-012-0519-z
  27. Friston, K. (2018). Does predictive coding have a future?. Nature neuroscience, 21(8), 10191021. DOI: 10.1038/s41593-018-0200-7
  28. Hamilton, L. S., & Huth, A. G. (2018). The revolution will not be controlled: natural stimuli in speech neuroscience. Lang. Cogn. Neurosci, 110.
  29. Hartmann, T., Wirth, W., Vorderer, P., Klimmt, C., Schramm, H., & Böcking, S. (2015). Spatial presence theory: State of the art and challenges ahead. Immersed in media: Telepresence theory, measurement & technology, 115135. DOI: 10.1007/978-3-319-10190-3_7
  30. Hasson, U., & Honey, C. J. (2012). Future trends in neuroimaging: neural processes as expressed within real-life contexts. Neuroimage, 62, 12721278. DOI: 10.1016/j.neuroimage.2012.02.004
  31. Holleman, G. A., Hooge, I. T., Kemner, C., & Hessels, R. S. (2020). The ‘real-world approach’ and its problems: A critique of the term ecological validity. Frontiers in Psychology, 11, 721. DOI: 10.3389/fpsyg.2020.00721
  32. Holler, D. E., Fabbri, S., & Snow, J. C. (2020). Object responses are highly malleable, rather than invariant, with changes in object appearance. Scientific Reports, 10(1), 4654. DOI: 10.1038/s41598-020-61447-8
  33. Hou, H., Jia, S., Hu, S., Fan, R., Sun, W., Sun, T., & Zhang, H. (2012). Reduced striatal dopamine transporters in people with internet addiction disorder. Journal of Biomedicine and Biotechnology, 854524. DOI: 10.1155/2012/854524
  34. Jäncke, L., Cheetham, M., & Baumgartner, T. (2009). Virtual reality and the role of the prefrontal cortex in adults and children. Frontiers in neuroscience, 3, 508. DOI: 10.3389/neuro.01.006.2009
  35. Jeong, B. S., Han, D. H., Kim, S. M., Lee, S. W., & Renshaw, P. F. (2016). White matter connectivity and Internet gaming disorder. Addiction biology, 21(3), 732742. DOI: 10.1111/adb.12246
  36. Jin, C., Zhang, T., Cai, C., Bi, Y., Li, Y., Yu, D., … & Yuan, K. (2016). Abnormal prefrontal cortex resting state functional connectivity and severity of internet gaming disorder. Brain imaging and behavior, 10, 719729. DOI: 10.1007/s11682-015-9439-8
  37. Jolly, E., & Chang, L. J. (2019). The flatland fallacy: Moving beyond low–dimensional thinking. Topics in cognitive science, 11(2), 433454. DOI: 10.1111/tops.12404
  38. Kennedy, D. P., & Adolphs, R. (2012). The social brain in psychiatric and neurological disorders. Trends in cognitive sciences, 16(11), 559572. DOI: 10.1016/j.tics.2012.09.006
  39. Kim, S. H., Baik, S. H., Park, C. S., Kim, S. J., Choi, S. W., & Kim, S. E. (2011). Reduced striatal dopamine D2 receptors in people with Internet addiction. Neuroreport, 22(8), 407411. DOI: 10.1097/WNR.0b013e328346e16e
  40. Kingstone, A., Smilek, D., & Eastwood, J. D. (2008). Cognitive ethology: A new approach for studying human cognition. British Journal of Psychology, 99(3), 317340. DOI: 10.1348/000712607X251243
  41. Kisker, J., Gruber, T., & Schöne, B. (2021a). Virtual reality experiences promote autobiographical retrieval mechanisms: Electrophysiological correlates of laboratory and virtual experiences. Psychological Research, 85, 24852501. DOI: 10.1007/s00426-020-01417-x
  42. Kisker, J., Gruber, T., & Schöne, B. (2021b). Experiences in virtual reality entail different processes of retrieval as opposed to conventional laboratory settings: A study on human memory. Current Psychology, 40, 31903197. DOI: 10.1007/s12144-019-00257-2
  43. Ko, C. H., Hsieh, T. J., Chen, C. Y., Yen, C. F., Chen, C. S., Yen, J. Y., … & Liu, G. C. (2014). Altered brain activation during response inhibition and error processing in subjects with Internet gaming disorder: a functional magnetic imaging study. European archives of psychiatry and clinical neuroscience, 264, 661672. DOI: 10.1007/s00406-013-0483-3
  44. Ko, C. H., Hsieh, T. J., Wang, P. W., Lin, W. C., Yen, C. F., Chen, C. S., & Yen, J. Y. (2015). Altered gray matter density and disrupted functional connectivity of the amygdala in adults with Internet gaming disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 57, 185192. DOI: 10.1016/j.pnpbp.2014.11.003
  45. Ko, C. H., Liu, G. C., Hsiao, S., Yen, J. Y., Yang, M. J., Lin, W. C., … & Chen, C. S. (2009). Brain activities associated with gaming urge of online gaming addiction. Journal of psychiatric research, 43(7), 739747. DOI: 10.1016/j.jpsychires.2008.09.012
  46. Kühn, S., Romanowski, A., Schilling, C., Lorenz, R., Mörsen, C., Seiferth, N., … & Gallinat, J. (2011). The neural basis of video gaming. Translational psychiatry, 1(11), e53e53. DOI: 10.1038/tp.2011.53
  47. Lewkowicz, D. J. (2001). The concept of ecological validity: what are its limitations and is it bad to be invalid? Infancy, 2, 437450. DOI: 10.1207/S15327078IN0204_03
  48. Lv, Z. (2020). Virtual reality in the context of Internet of Things. Neural Computing and applications, 32(13), 95939602. DOI: 10.1007/s00521-019-04472-7
  49. Maguire, E. A. (2012). Studying the freely-behaving brain with fMRI. Neuroimage, 62, 11701176. DOI: 10.1016/j.neuroimage.2012.01.009
  50. Matusz, P. J., Dikker, S., Huth, A. G., & Perrodin, C. (2019). Are we ready for real-world neu-roscience? J. Cogn. Neurosci., 31, 327338. DOI: 10.1162/jocn_e_01276
  51. Mystakidis, S. (2022). Metaverse. Encyclopedia, 2(1), 486497. DOI: 10.3390/encyclopedia2010031
  52. Nagel, S. K., & Reiner, P. B. (2018). Skillful use of Technologies of the Extended Mind illuminate practical paths towards an ethics of consciousness. Frontiers in Psychology, 9, 12. DOI: 10.3389/fpsyg.2018.01251
  53. Neisser U. (1967). Cognitive Psychology. New York: Appleton-Century-Crofts.
  54. Neisser U. (1976). Cognition and Reality: Principles and Implications of Cognitive Psychology. New York: WH Freeman.
  55. Neisser, U. (1978). Memory: What are the important questions? In: M. M. Gruneberg, P. E. Morris, & R. N. Sykes (Eds.), Practical Aspects of Memory, pp. 324. San Diego: Academic Press.
  56. Neisser U. (2007). Ulric Neisser. In: G. Lindzey, & W. M. Runyan (Eds.), A History of Psychology in Autobiography, vol. IX. Washington, DC: American Psychological Association, pp. 269301. DOI: 10.1037/11571-008
  57. Niu, X., Gao, X., Zhang, M., Yang, Z., Yu, M., Wang, W., … & Zhang, Y. (2022). Meta-analysis of structural and functional brain alterations in internet gaming disorder. Frontiers in Psychiatry, 13. DOI: 10.3389/fpsyt.2022.1029344
  58. Noël, X., Brevers, D., & Bechara, A. (2013). A neurocognitive approach to understanding the neurobiology of addiction. Current opinion in neurobiology, 23(4), 632638. DOI: 10.1016/j.conb.2013.01.018
  59. Osborne-Crowley, K. (2020). Social cognition in the real world: reconnecting the study of social cognition with social reality. Review of General Psychology, 24(2), 144158. DOI: 10.1177/1089268020906483
  60. Palmas, F., & Klinker, G. (2020, July). Defining extended reality training: a long-term definition for all industries. In 2020 IEEE 20th International Conference on Advanced Learning Technologies (ICALT) (pp. 322324). IEEE. DOI: 10.1109/ICALT49669.2020.00103
  61. Parsons, T. D. (2015). Virtual reality for enhanced ecological validity and experimental control in the clinical, affective and social neurosciences. Frontiers in human neuroscience, 9, 660. DOI: 10.3389/fnhum.2015.00660
  62. Parsons, T. D. (2017). Cyberpsychology and the brain: The interaction of neuroscience and affective computing. Cambridge University Press. DOI: 10.1017/9781316151204
  63. Parsons, T. D. (2019). Ethical challenges in digital psychology and cyberpsychology. Cambridge University Press.
  64. Parsons, T. D., & Duffield, T. (2019). National Institutes of Health initiatives for advancing scientific developments in clinical neuropsychology. The Clinical Neuropsychologist, 33(2), 246270. DOI: 10.1080/13854046.2018.1523465
  65. Parsons, T., & Duffield, T. (2020). Paradigm shift toward digital neuropsychology and high-dimensional neuropsychological assessments. Journal of medical Internet research, 22(12), e23777. DOI: 10.2196/23777
  66. Parsons, T. D., Gaggioli, A., & Riva, G. (2020). Extended reality for the clinical, affective, and social neurosciences. Brain Sciences, 10(12), 922. DOI: 10.3390/brainsci10120922
  67. Pinto, J. O., Dores, A. R., Peixoto, B., & Barbosa, F. (2023). Ecological validity in neurocognitive assessment: Systematized review, content analysis, and proposal of an instrument. Applied Neuropsychology: Adult, 118. DOI: 10.1080/23279095.2023.2170800
  68. Reiner, P. B., & Nagel, S. K. (2017). Technologies of the extended mind: Defining the issues. In J. Illes, & S. Hossain (Eds.), Neuroethics: Anticipating the Future, pp. 108122. Oxford: Oxford University Press. DOI: 10.1093/oso/9780198786832.003.0006
  69. Riva, G. (2022). Virtual reality in clinical psychology. Comprehensive Clinical Psychology, 91105. DOI: 10.1016/B978-0-12-818697-8.00006-6
  70. Riva, G., Wiederhold, B. K., & Mantovani, F. (2019). Neuroscience of virtual reality: from virtual exposure to embodied medicine. Cyberpsychology, behavior, and social networking, 22(1), 8296. DOI: 10.1089/cyber.2017.29099.gri
  71. Sauzéon, H., Pala, P. A., Larrue, F., Wallet, G., Déjos, M., Zheng, X., … & N’Kaoua, B. (2015). The use of virtual reality for episodic memory assessment. Experimental psychology. DOI: 10.1027/1618-3169/a000131
  72. Schiebener, J., & Brand, M. (2015). Decision making under objective risk conditions–a review of cognitive and emotional correlates, strategies, feedback processing, and external influences. Neuropsychology review, 25, 171198. DOI: 10.1007/s11065-015-9285-x
  73. Schilbach, L. (2015). Eye to eye, face to face and brain to brain: novel approaches to study the behavioral dynamics and neural mechanisms of social interactions. Curr. Opin. Behav. Sci., 3, 130135. DOI: 10.1016/j.cobeha.2015.03.006
  74. Schilbach, L., Timmermans, B., Reddy, V., Costall, A., Bente, G., Schlicht, T., et al. (2013). Toward a second-person neuroscience. Behav. Brain Sci., 36, 393414. DOI: 10.1017/S0140525X12000660
  75. Schmuckler, M. A. (2001). What is ecological validity? A dimensional analysis. Infancy, 2, 419436. DOI: 10.1207/S15327078IN0204_02
  76. Schöne, B., Wessels, M., & Gruber, T. (2019). Experiences in virtual reality: A window to autobiographical memory. Current Psychology, 38(3), 715719. DOI: 10.1007/s12144-017-9648-y
  77. Shamay-Tsoory, S. G., & Mendelsohn, A. (2019). Real-life neuroscience: an ecological approach to brain and behavior research. Perspectives on Psychological Science, 14(5), 841859. DOI: 10.1177/1745691619856350
  78. Solly, J. E., Hook, R. W., Grant, J. E., Cortese, S., & Chamberlain, S. R. (2022). Structural gray matter differences in Problematic Usage of the Internet: a systematic review and meta-analysis. Molecular psychiatry, 27(2), 10001009. DOI: 10.1038/s41380-021-01315-7
  79. Sonkusare, S., Breakspear, M., & Guo, C. (2019). Naturalistic stimuli in neuroscience: criti- cally acclaimed. Trends Cogn. Sci., 23, 699714. DOI: 10.1016/j.tics.2019.05.004
  80. Stanovich, K. E. (2009a). Distinguishing the reflective, algorithmic, and autonomous minds: Is it time for a tri-process theory. In J. Evans & K. Frankish (Eds.), Two Minds: Dual Processes and Beyond (pp. 5588). Oxford: Oxford University Press. DOI: 10.1093/acprof:oso/9780199230167.003.0003
  81. Stanovich, K. E. (2009b). What intelligence tests miss: The psychology of rational thought. New Haven, CT: Yale University Press.
  82. Sun, J. T., Hu, B., Chen, T. Q., Chen, Z. H., Shang, Y. X., Li, Y. T., … & Wang, W. (2023). Internet addiction-induced brain structure and function alterations: A systematic review and meta-analysis of voxel-based morphometry and resting-state functional connectivity studies. Brain Imaging and Behavior, 114. DOI: 10.1007/s11682-023-00762-w
  83. Talsma, D. (2015). Predictive coding and multisensory integration: an attentional account of the multisensory mind. Frontiers in Integrative Neuroscience, 9, 19. DOI: 10.3389/fnint.2015.00019
  84. Turel, O., Serenko, A., & Giles, P. (2011). Integrating technology addiction and use: An empirical investigation of online auction users. MIS quarterly, 10431061. DOI: 10.2307/41409972
  85. Vass, L. K., Copara, M. S., Seyal, M., Shahlaie, K., Farias, S. T., Shen, P. Y., & Ekstrom, A. D. (2016). Oscillations go the distance: low-frequency human hippocampal oscillations code spatial distance in the absence of sensory cues during teleportation. Neuron, 89(6), 11801186. DOI: 10.1016/j.neuron.2016.01.045
  86. Wilms, M., Schilbach, L., Pfeiffer, U., Bente, G., Fink, G. R., & Vogeley, K. (2010). It’s in your eyes—using gaze-contingent stimuli to create truly interactive paradigms for social cognitive and affective neuroscience. Social cognitive and affective neuroscience, 5(1), 98107. DOI: 10.1093/scan/nsq024
  87. Wood, S. M. W., & Bechara, A. (2014). “The Neuroscience of Dual (and Triple) System in Decision Making.” In The Neuroscience of Risky Decision Making, ed. V. F. Reyna and V. Zayas, 177202, Washington, DC: American Psychological Association. DOI: 10.1037/14322-008
  88. Wu, J. W., Chou, D. W., & Jiang, J. R. (2014, September). The virtual environment of things (veot): A framework for integrating smart things into networked virtual environments. In 2014 IEEE International Conference on Internet of Things (iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) (pp. 456459). IEEE. DOI: 10.1109/iThings.2014.81
  89. Yuan, K., Qin, W., Yu, D., Bi, Y., Xing, L., Jin, C., & Tian, J. (2016). Core brain networks interactions and cognitive control in internet gaming disorder individuals in late adolescence/early adulthood. Brain Structure and Function, 221, 14271442. DOI: 10.1007/s00429-014-0982-7
  90. Zaki, J., & Ochsner, K. (2009). The need for a cognitive neuroscience of naturalistic social cognition. Annals of the New York Academy of Sciences, 1167(1), 1630. DOI: 10.1111/j.1749-6632.2009.04601.x
  91. Zhang, Y., Mei, W., Zhang, J. X., Wu, Q., & Zhang, W. (2016). Decreased functional connectivity of insula-based network in young adults with internet gaming disorder. Experimental brain research, 234, 25532560. DOI: 10.1007/s00221-016-4659-8
  92. Zhao, H., Turel, O., Bechara, A., & He, Q. (2023). How distinct functional insular subdivisions mediate interacting neurocognitive systems. Cerebral Cortex, 33(5), 17391751. DOI: 10.1093/cercor/bhac169
DOI: https://doi.org/10.5334/joc.327 | Journal eISSN: 2514-4820
Language: English
Submitted on: Jun 30, 2023
|
Accepted on: Oct 17, 2023
|
Published on: Jan 9, 2024
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2024 Thomas D. Parsons, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.