Virtual Reality Science

Virtual Reality: Self-Awareness

By August 5, 2019 No Comments
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Consciousness by most of the scientific community is recognized as an outward awareness of one’s environment and body, while self-awareness is the recognition of this consciousness. Self-awareness is the ability to recognize oneself as an individual distinct from the environment and others; further, it concerns itself with introspection and conscious attention to other aspects of one’s own existence (Morin, 2011). Essentially,

“To be conscious is to think; to be self-aware is to realize that you are a thinking being and to think about your thoughts.” (Jabr, 2012)

Consciousness can be categorized based on the levels of awareness (Morin, 2011) as

  • Unconscious: Inability to process and adapt to incoming information from the environment or self.
  • Conscious: Ability to pay attention to the environment and process the incoming information in order to adapt.
  • Self-awareness: Ability to actively identify, process, and store private and public information about the self.
  • Meta Self-awareness: The ability to be aware of one’s own self-awareness.

Self-awareness can be further divided into internal self-awareness, the clarity with which we see ourselves and our internal functioning, and external self-awareness, the understanding of how others perceive us and our surroundings. The different processes of self-awareness, such as retrieval of self-knowledge, self-reflection, and self-referencing, are attributed to different brain regions including the cortical midline structures (Modinos, Renken, Ormel, & Aleman, 2011; Pfeifer, Lieberman, & Dapretto, 2007). This self-processing ability plays a vital role in our social functioning (Uddin, Iacoboni, Lange, & Keenan, 2007) and moral reasoning; and thus, impairments of these behaviors or their associated structures can have a serious impact on the quality of life.

Impairments in self-awareness often manifest themselves as altered perceptions of self and are commonly associated with neurodegenerative and neuropsychiatric disorders and diseases. Uddin’s (2011) review of Autism Spectral Disorder literature suggested the medial prefrontal cortex as the possible center for altered interpersonal cognition highlighting the differences in the activation of different brain regions as opposed to normal individuals. Mental disorders also result in poorer psychosocial functioning (Amador, 1994; Dimaggio, & Lysaker, 2018); in some cases, depicting a lack of ability to accept the condition and its consequences (For digital healthcare research tools visit Qolty). Apart from diseases and disorders, brain injury (Beadle, Ownsworth, Fleming, & Shum, 2017; Ellis-Hill, & Horn, 2000) and aging (Petretto, Pili, Gaviano, Matos López, & Zuddas, 2016; Pfeifere et al., 2007) can also affect an individual’s self-awareness.

Virtual Reality and Self-Awareness

Virtual reality (VR), in particular, immersive virtual reality, facilitate the illusion of presence, which encourages the participants to behave in a natural manner in the virtual environment. Combining the illusions of virtual reality with traditional evaluation methods (For digital healthcare research tools visit Qolty), allows the possibility to compare real behaviors with self-reported behaviors, thereby minimizing any bias from influencing the data. Joinson’s (2001) study that combined virtual elements (computer-mediated communication) with some real-world elements provides insights into the potential of this combination in understanding both external and internal self-awareness. The study showed that when participants were subjected to a high level of internal self-awareness and low external self-awareness, they tended to display a significantly higher spontaneity for self-disclosure as opposed to other self-awareness pairings. A similar approach by Mendez, Joshi, and Jimenez (2014) showed that patients with behavioral variant frontotemporal dementia demonstrated greater self-awareness when interviewed in a head-mounted display virtual environment. The participants provided elaborate answers, as opposed to the real-world interview, to questions that also included insight assessment.

Virtual reality offers repetition of the same experience in a consistent manner within a safe environment. This allows participants, especially in terms of rehabilitation, to self-assess the situation, allowing them to learn and improve their self-awareness (Schultheis, & Rizzo, 2001). Though a cohesive assessment of self-awareness in virtual reality is yet to be established, indirect methods via virtual assessments of cognitive functions allow an estimation of the degree of awareness (Muratore, Tuena, Pedroli, Cipresso, & Riva, 2019). In their 2010 paper, Kim et al. utilized a three-dimensional immersive virtual reality to evaluate extrapersonal neglect in post-stroke patients. The environment design was a real-world street. The participants were tasked to control their avatar for safe crossing. It was observed that participants with spatial neglect performed worse on all parameters as opposed to the non-neglect group. Additionally, it was also observed that the neglect group were more impaired in being aware of the stimuli (virtual car) approaching from the left. Furthering the application of VR in unilateral spatial neglect, Kim, Chun, Yun, Song, and Young (2011) showed that post-stroke patients did benefit from VR rehabilitation.

Virtual therapies and assessments essentially take advantage of the different illusions that individuals experience in the virtual world. In particular, the embodiment illusion relies on VR based research of bodily self-awareness related disorders, such as eating disorders and body dysmorphia. Studies have suggested that poor interoceptive awareness can often be seen in the symptomology of many mental disorders (Khalsa et al. 2018; Merwin, Zucker, Lacy, & Elliott, 2010). Perpiñá et al. (1999) observed that body image improved in patients with eating disorders that were given virtual reality treatment. In another study concerned with social phobia, participants that experienced virtual reality exposure therapy reported lower social anxiety following the treatment and higher self-efficacy in the three months follow-up (Morina, Brinkman, Hartanto, Kampmann, & Emmelkamp, 2015). Virtual reality offers patients the opportunity to visualize the erroneous mental representation in an independent manner allowing them to face their fears without the risks of real-world exposure (Ferrer-García, & Gutiérrez-Maldonado, 2012; Gregg, & Tarrier, 2007). Perpiñá, Botella, and Baños, (2003) attribute the success of virtual reality to the ability of the technology to capture the subjective nature and the mental representation of the symptoms of mental disorders such as eating disorders.


Self-awareness is a complex idea that is difficult to be defined in simple terms. The concept points to both internal and external awareness and their associated processing. Since personal perceptions of different entities, whether self or otherwise, tend to be subjective in nature, developing a cohesive tool to assess self-awareness tends to be difficult. However, the growing popularity of virtual reality could be a possible answer to the limitations of traditional approaches to evaluating and understanding self-awareness.

Virtual reality effectively captures the subjective nature of self-awareness within a controlled environment. Based on the immersion levels of immersive virtual reality, participant behaviors tend to be more authentic to their real-world behaviors. Most virtual reality-based assessments of self-awareness rely on indirect measures that include episodic memory, spatial cognition, and executive function. The sense of presence that the virtual environments allow makes them suitable for the development of self-awareness, which is important for improved quality of life. Further, virtual reality may also be helpful in creating an understanding of altered or impaired mental representations, allowing participants to learn without the interference of healthcare personnel.


  1. Amador, X. F. (1994). Awareness of Illness in Schizophrenia and Schizoaffective and Mood Disorders. Archives of General Psychiatry, 51(10), 826. doi:10.1001/archpsyc.1994.0395010007
  2. Beadle, E. J., Ownsworth, T., Fleming, J., & Shum, D. H. K. (2017). Relationship Between Neurocognitive Function and Self-Discrepancy After Severe Traumatic Brain Injury. Journal of Head Trauma Rehabilitation, doi:10.1097/htr.0000000000000360
  3. Dimaggio, G., & Lysaker, P. H. (2018). A Pragmatic View of Disturbed Self-Reflection in Personality Disorders: Implications for Psychotherapy. Journal of Personality Disorders, 32(3), 311–328. doi:10.1521/pedi.2018.32.3.311
  4. Duval, S., & Wicklund, R. A. (1972). A Theory of Objective Self Awareness. New York: Academic Press.
  5. Ellis-Hill, C. S., & Horn, S. (2000). Change in identity and self-concept: a new theoretical approach to recovery following a stroke. Clinical Rehabilitation, 14(3), 279–287. doi:10.1191/026921500671231410
  6. Ferrer-García, M., & Gutiérrez-Maldonado, J. (2012). The use of virtual reality in the study, assessment, and treatment of body image in eating disorders and nonclinical samples: A review of the literature. Body Image, 9(1), 1–11. doi:10.1016/j.bodyim.2011.10.001
  7. Gregg, L., & Tarrier, N. (2007). Virtual reality in mental health. Social Psychiatry and Psychiatric Epidemiology, 42(5), 343–354. doi:10.1007/s00127-007-0173-4
  8. Jabr, F. (2012). Self-Awareness with a Simple Brain. Scientific American Mind, 23(5), 28–29. doi:10.1038/scientificamericanmind1112-28
  9. Joinson, A. N. (2001). Self-disclosure in computer-mediated communication: The role of self-awareness and visual anonymity. European Journal of Social Psychology, 31(2), 177–192. doi:10.1002/ejsp.36
  10. Khalsa, S. S., Adolphs, R., Cameron, O. G., Critchley, H. D., Davenport, P. W., Feinstein, J. S., … Mehling, W. E. (2018). Interoception and Mental Health: A Roadmap. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 3(6), 501–513. doi:10.1016/j.bpsc.2017.12.004
  11. Kim, D. Y., Ku, J., Chang, W. H., Park, T. H., Lim, J. Y., Han, K., … Kim, S. I. (2010). Assessment of post-stroke extrapersonal neglect using a three-dimensional immersive virtual street crossing program. Acta Neurologica Scandinavica, 121(3), 171–177. doi:10.1111/j.1600-0404.2009.01194.x
  12. Kim, Y. M., Chun, M. H., Yun, G. J., Song, Y. J., & Young, H. E. (2011). The Effect of Virtual Reality Training on Unilateral Spatial Neglect in Stroke Patients. Annals of Rehabilitation Medicine, 35(3), 309. doi:10.5535/arm.2011.35.3.309
  13. Mendez, M. F., Joshi, A., & Jimenez, E. (2014). Virtual reality for the assessment of frontotemporal dementia, a feasibility study. Disability and Rehabilitation: Assistive Technology, 10(2), 160–164. doi:10.3109/17483107.2014.889230
  14. Merwin, R. M., Zucker, N. L., Lacy, J. L., & Elliott, C. A. (2010). Interoceptive awareness in eating disorders: Distinguishing lack of clarity from non-acceptance of internal experience. Cognition & Emotion, 24(5), 892–902. doi:10.1080/02699930902985845
  15. Modinos, G., Renken, R., Ormel, J., & Aleman, A. (2011). Self-reflection and the psychosis-prone brain: An fMRI study. Neuropsychology, 25(3), 295–305. doi:10.1037/a0021747
  16. Morin, A. (2011). Self-Awareness Part 1: Definition, Measures, Effects, Functions, and Antecedents. Social and Personality Psychology Compass, 5(10), 807–823. doi:10.1111/j.1751-9004.2011.00387.x
  17. Morina, N., Brinkman, W.-P., Hartanto, D., Kampmann, I. L., & Emmelkamp, P. M. G. (2015). Social interactions in virtual reality exposure therapy: A proof-of-concept pilot study. Technology and Health Care, 23(5), 581–589. doi:10.3233/thc-151014
  18. Muratore, M., Tuena, C., Pedroli, E., Cipresso, P., & Riva, G. (2019). Virtual Reality as a Possible Tool for the Assessment of Self-Awareness. Frontiers in Behavioral Neuroscience, doi:10.3389/fnbeh.2019.00062
  19. Perpiñá, C., Botella, C., & Baños, R. M. (2003). Virtual reality in eating disorders. European Eating Disorders Review, 11(3), 261–278. doi:10.1002/erv.520
  20. Perpiñá, C., Botella, C., Baños, R., Marco, H., Alcañiz, M., & Quero, S. (1999). Body Image and Virtual Reality in Eating Disorders: Is Exposure to Virtual Reality More Effective than the Classical Body Image Treatment? CyberPsychology & Behavior, 2(2), 149–155. doi:10.1089/cpb.1999.2.149
  21. Petretto, D. R., Pili, R., Gaviano, L., Matos López, C., & Zuddas, C. (2016). Envejecimiento activo y de éxito o saludable: una breve historia de modelos conceptuales. Revista Española de Geriatría y Gerontología, 51(4), 229–241. doi:10.1016/j.regg.2015.10.003
  22. Pfeifer, J. H., Lieberman, M. D., & Dapretto, M. (2007). “I know you are but what am I?!”: Neural bases of self- and social knowledge retrieval in children and adults. Journal of Cognitive Neuroscience, 19(8), 1323-1337.
  23. Schultheis, M. T., & Rizzo, A. A. (2001). The application of virtual reality technology in rehabilitation. Rehabilitation Psychology, 46(3), 296–311. doi:10.1037/0090-5550.46.3.296
  24. Uddin, L. Q. (2011). The self in autism: An emerging view from neuroimaging. Neurocase, 17(3), 201–208. doi:10.1080/13554794.2010.509320
  25. Uddin, L. Q., Iacoboni, M., Lange, C., & Keenan, J. P. (2007). The self and social cognition: the role of cortical midline structures and mirror neurons. Trends in Cognitive Sciences, 11(4), 153–157. doi:10.1016/j.tics.2007.01.001

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