20 20-24 Annals of Applied Psychophysiology December 2024 Volume 11 The Efficacy of Biofeedback-Integrated Ambient Lighting in Stress and Anxiety Reduction Ujala Sajid1, Shamoon Noushad2, & Sadaf Ahmed1 Published online: December 2024 © The Author(s) 2024 Abstract Background: Stress and mental health issues are prevalent concerns in Pakistan, particularly among women. Traditional biofeedback methods require focused attention, which can be impractical in clinical settings. Ambient lighting provides a non-invasive and innovative approach to biofeedback, enhancing both aesthetic and therapeutic experiences. This study examines the integration of biofeedback with ambient lighting to aid in stress management and relaxation. Methodology: Twelve participants (six females and six males, aged 25 to 35 years) from research- related university positions at Malir University of Science and Technology, were exposed to a biofeedback-driven lighting system during a timed arithmetic task. The participants completed the task under three conditions: (1) no biofeedback (control), (2) warm-toned lighting biofeedback, and (3) cool-toned lighting biofeedback. The system was connected to the Alive GMP8 biofeedback device, which monitored heart rate variability (HRV) to adjust lighting parameters in real time. Stress levels were measured using the Perceived Stress Scale (PSS), and anxiety levels were assessed using the State-Trait Anxiety Inventory (STAI). The experiment followed a within- subject design with counterbalancing to avoid carry-over effects. Paired t-tests were used to analyze changes in PSS and STAI scores, with a significance level set at p < 0.01. Results: The biofeedback-driven lighting system demonstrated significant improvements in stress and anxiety measures. For the warm-toned lighting condition, the mean PSS score decreased from 29.3 (SD = 2.13) to 21.1 (SD = 2.81), and the STAI score decreased from 57.2 (SD = 3.10) to 45.0 (SD = 3.21), with mean differences of 8.2 and 12.2, respectively (p < 0.01). Under the cool-toned lighting condition, the mean PSS score decreased from 28.8 (SD = 2.17) to 20.8 (SD = 2.39), and the STAI score decreased from 56.3 (SD = 3.00) to 44.3 (SD = 3.04), with mean differences of 8.0 and 12.0, respectively (p < 0.01). Participants reported enhanced stress awareness, improved relaxation, and a preference for the biofeedback lighting conditions over the control condition. Conclusion: The biofeedback-driven lighting approach shows promise as a tool for stress management and relaxation in Pakistani healthcare and research settings. Its non-invasive and user-friendly design provides a valuable addition to mental health support strategies. Further research with larger, more diverse samples is recommended to validate these findings. Keywords: Biofeedback, Ambient Lighting, Stress Management, Anxiety Reduction, Perceived Stress Scale (PSS), State-Trait Anxiety Inventory (STAI), Heart Rate Variability (HRV) 1. Ujala Sajid and Sadaf Ahmed University of Karachi, Psychophysiology Research Lab, Karachi, Pakistan 2. Shamoon Noushad Malir University of Science & Technology, Department of Psychology 21 Introduction Stress and anxiety are among the most pressing global health concerns, affecting individuals across diverse demographics1. In Pakistan, the burden of mental health challenges is particularly pronounced, with women facing heightened vulnerabilities due to sociocultural expectations, economic instability, and limited access to mental health resources2. These issues not only impact individual well-being but also impose significant social and economic costs. Consequently, the need for accessible, effective, and scalable stress management strategies has become increasingly urgent3. Traditional biofeedback techniques, while proven to be effective, require considerable time and focused attention4. Such methods often demand specialized equipment and trained personnel, making them less feasible in resource-limited healthcare environments5. This gap necessitates innovative solutions that are both cost-effective and user-friendly. In this context, biofeedback- integrated ambient lighting has emerged as a promising alternative. Ambient lighting’s ability to influence mood, stress, and physiological states through subtle environmental adjustments offers an appealing, non-invasive approach to enhancing mental well-being6. Research suggests that heart rate variability (HRV), a reliable indicator of stress and relaxation states, can be effectively used as a biofeedback parameter7. By integrating HRV monitoring with ambient lighting systems, real-time adjustments to lighting parameters can create environments conducive to stress reduction8. Warm-toned lighting, often associated with comfort and relaxation, has been shown to lower perceived stress levels, while cool-toned lighting may provide a calming and focused atmosphere. These lighting conditions, when dynamically adjusted based on physiological feedback, have the potential to amplify relaxation responses without requiring active participation from the user9. This study investigates the efficacy of biofeedback-driven ambient lighting systems in reducing stress and anxiety among university professionals. By leveraging a controlled experimental design, it aims to evaluate changes in perceived stress and anxiety levels under different lighting conditions. The findings of this research have the potential to inform the development of innovative, scalable interventions for mental health support, particularly in settings with limited access to traditional biofeedback resources. Furthermore, the integration of aesthetic and therapeutic elements in stress management strategies could enhance user engagement and adherence, paving the way for broader applications in healthcare and beyond. Methodology Participants Twelve participants (six females and six males, aged 25 to 35 years) were recruited from research-related university positions at Malir University of Science and Technology. Inclusion criteria required participants to have no prior clinical diagnosis of stress-related disorders and no visual impairments. Procedure Participants performed a timed arithmetic task under three experimental conditions: 1. Control: No biofeedback or lighting modulation. 2. Warm-Toned Lighting Biofeedback: Ambient lighting adjusted in real-time based on HRV measurements to warmer tones. 22 3. Cool-Toned Lighting Biofeedback: Ambient lighting adjusted in real-time based on HRV measurements to cooler tones. The Alive GMP8 biofeedback device recorded HRV, which informed the lighting adjustments. Stress and anxiety levels were assessed before and after each condition using the Perceived Stress Scale (PSS)10 and State-Trait Anxiety Inventory (STAI)11, respectively. The experiment employed a within-subject design, with counterbalancing to mitigate potential carry-over effects. Statistical Analysis Paired t-tests were conducted using SPSS version 22.0, to compare pre- and post-condition PSS and STAI scores, with a significance threshold set at p < 0.01. Results The study examined the impact of biofeedback-driven ambient lighting on stress and anxiety levels, as measured by the Perceived Stress Scale (PSS) and the State-Trait Anxiety Inventory (STAI). The findings are summarized in Table 1 below. Table 1: Changes in PSS and STAI Scores Across Conditions Condition Measure Pre-Test Mean (SD) Post-Test Mean (SD) Mean Difference p-value Warm-Toned Lighting PSS 29.3 (2.13) 21.1 (2.81) 8.2 <0.01 STAI 57.2 (3.10) 45.0 (3.21) 12.2 <0.01 Cool-Toned Lighting PSS 28.8 (2.17) 20.8 (2.39) 8.0 <0.01 STAI 56.3 (3.00) 44.3 (3.04) 12.0 <0.01 Control (No Biofeedback) PSS 29.0 (2.21) 28.7 (2.25) 0.3 N.S. STAI 57.0 (3.12) 56.8 (3.20) 0.2 N.S. Participants reported greater relaxation, improved awareness of their stress levels, and a preference for the warm- and cool-toned biofeedback lighting conditions compared to the control condition. They noted that the dynamic adjustment of lighting enhanced the calming effects of the environment, contributing to a more engaging and therapeutic experience. Discussion The findings highlight the potential of biofeedback-integrated ambient lighting as a viable stress management tool. Both warm-toned and cool-toned lighting conditions demonstrated significant reductions in perceived stress and anxiety, as evidenced by PSS and STAI scores. These effects are likely attributable to the physiological and psychological impacts of real-time HRV- based feedback, which dynamically adjusts environmental factors to optimize relaxation12,13. Warm-toned lighting exhibited slightly greater efficacy in reducing stress and anxiety, consistent with prior research linking warmer hues to comfort and tranquility14. Cool-toned lighting, while also effective, may provide additional benefits in enhancing focus and mental clarity. This distinction underscores the importance of tailoring biofeedback-driven lighting interventions to specific therapeutic contexts15. 23 Participants’ subjective feedback further supports the feasibility and acceptability of this approach. The integration of biofeedback with ambient lighting offers a passive, non-invasive means of fostering relaxation, making it particularly suitable for resource-limited or high-stress environments16,17. Unlike traditional biofeedback methods that require active engagement, this system facilitates stress reduction without placing additional cognitive demands on users18. Nevertheless, the study is not without limitations. The small, homogeneous sample restricts the generalizability of the findings. Additionally, the short duration of the intervention precludes assessment of long-term efficacy. Future research should address these limitations by incorporating larger, more diverse populations and extended study periods. Exploring variations in lighting intensity, color temperature, and task difficulty could further refine the application of biofeedback-driven ambient lighting19. In conclusion, this study demonstrates the promise of biofeedback-integrated ambient lighting as an innovative tool for stress and anxiety management. Its non-invasive, user-friendly design provides a valuable addition to mental health strategies, particularly in settings with limited access to traditional biofeedback resources. Continued investigation into its mechanisms and applications is essential to unlocking its full potential. Conclusion This study demonstrates the efficacy of biofeedback-integrated ambient lighting in reducing stress and anxiety. The non-invasive, user-friendly nature of this approach makes it a promising addition to mental health strategies in Pakistani healthcare and research settings. Further investigations with larger samples and diverse contexts are warranted to expand its application. References 1. Yu B, Hu J, Funk M, Feijs L. DeLight: biofeedback through ambient light for stress intervention and relaxation assistance. 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