The Effect of Correlated Color Temperature and Illumination Level of LED Lighting on Visual Comfort during Sustained Attention Activities

Fu, Xin; Feng, Di; Jiang, Xu; Wu, Ting

doi:10.3390/su15043826

Cited by 20 publications

(7 citation statements)

References 40 publications

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“…Research on colour temperature and human behaviour has also been carried out. Fu et al (2023) explored the impact of colour temperature and light level on visual comfort, offering insights for ergonomic lighting tool design. In addition, research has been proposed on the uniformity of LED desk lamp illumination and improvement methods (Lin & Chen, 2023).…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluating User Experience Satisfaction of LED Desk Lamp using FAHP-FCE Approach

Zhu,

Mohd Nazar,

Rusman

et al. 2024

E-BPJ

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Technology development has effectively guided the design and development of light-emitting diode (LED) desk lamps, and the design and development of desk lamps are closely related to users. However, studies on user satisfaction when using desk lamps are still under explored. To this end, this paper proposes a satisfaction evaluation method that combines the fuzzy analytic hierarchy process (FAHP) and fuzzy comprehensive evaluation (FCE). This research results could provide an effective theoretical and practical reference for the experience design of LED desk lamps to improve and meet users' needs, thereby potentially improving the design of LED desk lamps for better customer satisfaction.

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Section: Literature Reviewmentioning

confidence: 99%

Evaluating User Experience Satisfaction of LED Desk Lamp using FAHP-FCE Approach

Zhu,

Mohd Nazar,

Rusman

et al. 2024

E-BPJ

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“…It provides information about the distribution of a signal's power along various frequency components. In the context of EEG, the APSD can help identify different brain frequency activities, such as delta, theta, alpha, and beta waves [65].…”

Section: Eeg Recording and Analysismentioning

confidence: 99%

Investigating the Relationship between Noise Exposure and Human Cognitive Performance: Attention, Stress, and Mental Workload Based on EEG Signals Using Power Spectrum Density

Astuti,

Suhardi,

Laksono

et al. 2024

Applied Sciences

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A pervasive environmental stressor is one that damages mental and physical health as well as cognitive abilities by producing noise at a specific frequency and level. Current noise pollution levels pose a significant threat to public health, potentially leading to impaired cognitive function, increased stress, and other negative health consequences. This study aims to investigate the relationship between noise exposure and human cognitive abilities using a comprehensive analysis of power spectrum density (PSD) derived from EEG signals. Twenty-four participants completed the experiment to identify the effect of exposure to different noise levels (55 dB, 65 dB, 70 dB, 75 dB, 80 dB, and 85 dB) and two types of continuous and intermittent noise. The Stroop Color–Word Test and the Emotive Epoch EEG are cognitive task instruments used during experiments. Behavioral performance (accuracy and response time) and power spectrum electroencephalographic density were collected and analyzed. The methodology involved collecting EEG data from participants exposed to controlled noise stimuli and a subsequent PSD analysis to uncover frequency-specific patterns associated with cognitive processes. Attention levels were measured by examining beta wave activity, while stress responses were evaluated through an alpha wave analysis. Additionally, mental workload was assessed by considering the overall distribution of PSD through the theta-to-alpha ratio. The results revealed a significant relationship between the exposure to noise types and levels and human cognitive ability. The analysis of the power spectrum density on the cognitive aspects of attention and stress yielded results indicating that participants were in the best attention condition and in a relaxed or unstressed state when exposed to noise levels of 65 dB in both continuous and intermittent noise types. For the mental workload aspect, participants exposed to both continuous and intermittent noise types at a noise level of 70 dB began to indicate the presence of mental workload. These findings supported the importance of considering the impact of environmental noise on human cognitive well-being and demonstrated the potential of EEG monitoring as an objective tool for assessing the impact of noise on cognitive performance.

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“…In the research by Xiayun [25], the correlated color temperature (CCT) and illuminance level of LED lighting affect visual comfort during sustained attention tasks. It was found that a CCT of 3300 K and an illuminance of 300 lx result in greater visual comfort, according to electroencephalogram (EEG) signals, sustained attention tests, and participants' subjective evaluations.…”

Section: Related Workmentioning

confidence: 99%

Optimizing Ambiance: Intelligent RGB Lighting Control in Structures Using Fuzzy Logic

Alvarez-Garcia,

Zúñiga-Cañón,

Garcia-Sanchez

et al. 2024

Applied Sciences

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Managing red–green–blue (RGB) lighting conditions within structures may evoke emotions and positively influence behavior. Intelligent RGB lighting systems based on environmental data measurements can substantially enhance the perception of comfort. This study presents a challenge that requires a holistic and integrated approach to implement an automatic RGB artificial lighting control system that can be utilized in various structures and indoor environments. Initially, the challenge spans the identification of environmental variables directly impacting comfort up to the careful selection of suitable sensors. The result is the development of a sophisticated and autonomous system that can adjust RGB lighting in real time, creating environments that are both comfortable and energy-efficient. This automated system fosters the creation of appropriate atmospheres across different contexts. The identification and monitoring of environmental variables are achieved through a neuro-fuzzy control mechanism, where fuzzy rules and membership functions are defined based on late positive potential timings and the influence of artificial lighting on human emotions. The outcomes from this study are an interconnected system capable of performing both online and offline operations to enable the monitoring of environmental variables and the efficient management of artificial lighting based on these metrics. A pilot study, with reference to an EEG wave registry system, yielded significant results. These tests had a statistically relevant result with an average frequency of approximately 9.8 Hz, indicative of a state of comfort among people. Despite a 10% deviation margin, 87% of measurements during the test remained consistent. This research study contributes to human behavior by fostering a relaxing environment and enabling a reduction in energy consumption through the use of efficient lighting. Moreover, the environment intention enables the creation of stimuli in three emotional states: activation, relaxation, and neutral, allowing behavioral adaptation to an intention to occur automatically in fluctuating environmental conditions.

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The Effect of Correlated Color Temperature and Illumination Level of LED Lighting on Visual Comfort during Sustained Attention Activities

Cited by 20 publications

References 40 publications

Evaluating User Experience Satisfaction of LED Desk Lamp using FAHP-FCE Approach

Evaluating User Experience Satisfaction of LED Desk Lamp using FAHP-FCE Approach

Investigating the Relationship between Noise Exposure and Human Cognitive Performance: Attention, Stress, and Mental Workload Based on EEG Signals Using Power Spectrum Density

Optimizing Ambiance: Intelligent RGB Lighting Control in Structures Using Fuzzy Logic

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