Perception Of Environment Research Articles

Challenges and Approaches in the Study of Neural Entrainment.

When exposed to rhythmic stimulation, the human brain displays rhythmic activity across sensory modalities and regions. Given the ubiquity of this phenomenon, how sensory rhythms are transformed into neural rhythms remains surprisingly inconclusive. An influential model posits that endogenous oscillations entrain to external rhythms, thereby encoding environmental dynamics and shaping perception. However, research on neural entrainment faces multiple challenges, from ambiguous definitions to methodological difficulties when endogenous oscillations need to be identified and disentangled from other stimulus-related mechanisms that can lead to similar phase-locked responses. Yet, recent years have seen novel approaches to overcome these challenges, including computational modeling, insights from dynamical systems theory, sophisticated stimulus designs, and study of neuropsychological impairments. This review outlines key challenges in neural entrainment research, delineates state-of-the-art approaches, and integrates findings from human and animal neurophysiology to provide a broad perspective on the usefulness, validity, and constraints of oscillatory models in brain-environment interaction.

KPTr: Key point transformer for LiDAR-based 3D object detection

Accurate 3D environmental perception is crucial for ensuring the safety of autonomous vehicles. However, many existing point-based 3D object detection methods rely only on independent point features to extract spatial information and ignore the dependencies between points. Meanwhile, these methods usually use max-pooling operations to aggregate neighboring point features without considering the stability of local geometric information. To address these issues, this paper proposes a novel two-stage LiDAR-based key point transformer that consists of a region proposal network module and a region-based transformer module to enhance 3D detection performance. Firstly, unprocessed raw point clouds are taken as the input of the model to preserve detailed spatial structural information. Secondly, in the region proposal network an enhanced PointNet++ is used to segment foreground points and generate high-quality first-stage proposals. Then, the representation of proposals is improved by the region-based transformer module, which constructs long-range key point cloud relationship features within the regions of interest and diffuses spatial information into the feature channel layers. Additionally experiments on the KITTI dataset show that detection performance of the proposed method surpasses most mainstream 3D object detection methods and achieves a detection speed of 14.28 Hz, striking a good balance between detection accuracy and speed. Finally, the proposed method is deployed on real vehicle hardware platforms for online detection, thereby proving its industrial value.

The impact of employees’ perceptions regarding hotels’ green intellectual capital on their environmental perceptions: A mediating moderation model

Researchers acknowledge the significance of hotels’ environmental performance, however they call for a further comprehensive examination of the aspects that serve as its drives. Moreover, despite the abundance of studies on environmental performance in the hospitality literature, employees’ perceptions regarding hotels’ green intellectual capital and its potential outcomes are scarcely investigated. With this realization, and building upon the job demand-resource theoretical framework and socially embedded theoretical framework of thriving, the current paper proposes a conceptual model where thriving at work mediated the impact of employees’ perceptions regarding hotels’ green intellectual capital on environmental performance moderated by work-related enterprise social media usage. To gauge these relationships, data was collected from frontline employees working in four and five star Turkish hotels. The study's interrelationships have been analyzed by employing structural equation modeling. The study revealed that employees' perceptions of hotels' green intellectual capital significantly influenced their thriving at work and positively shaped their views on hotels' environmental performance. Additionally, thriving at work demonstrated a significant impact on employees' perceptions of hotels' environmental performance, acting as a mediator between perceptions of green intellectual capital and environmental performance. Furthermore, the study found that the influence of employees' perceptions of hotels' green intellectual capital on thriving at work was moderated by work-related enterprise social media usage. According to our findings, top management should monitor and promote employees’ perceptions of green intellectual capital, and their thriving at work, sustaining a green organizational culture at the same time via an effective usage of enterprise social media to foster environmentally friendly initiatives. This could involve creating platforms for idea-sharing and recognizing employees who implement sustainable practices.

Positive behavior support in school – a quasi-experimental mixed methods study and a randomized controlled trial

BackgroundWhile positive school climate is important for students’ well-being and mental health, school personnel may experience challenges in creating a nurturing school climate. School-Wide Positive Behavioral Interventions and Supports (SW-PBIS) has shown positive effects on school climate and children’s prosocial behaviors, but fewer studies have been conducted in a European context.AimThis project aims to investigate the effectiveness of SW-PBIS program for students’ social-emotional skills and academic achievement as well as teachers’ and students’ perceptions of classroom learning environment. Furthermore, the study intends to evaluate how school-level factors mediate or moderate the effects of the intervention. In addition, the study includes a qualitative evaluation of the dynamic interaction processes that occur during program implementation in local school contexts.MethodsData on school- and individual-level measures are collected in intervention and control schools. With regard to challenges in retaining control groups over extended time periods, two waves of recruitment are used. In the first wave, an active control group is used and data are collected during three time points. In the second wave, a wait-list control group will be used and data will be collected during two time points during one school year. Hierarchical regression analyses will be conducted to explore the effects of SW-PBIS on the outcomes of the study. An ethno-methodological approach will be applied to provide a detailed examination of the social interactional and meaning-making practices of different school implementation teams, and the negotiation of normative expectations and rules of conduct in peer-teacher-student interactions in different classrooms.DiscussionThe study is expected to contribute to knowledge on the effects of the SW-PBIS program and how these effects may be mediated or moderated by school-level factors. Combining quantitative and qualitative methods to explore the significance of school contexts in the implementation of the SW-PBIS program constitutes the strength of the study. The challenge in the study is the extended period of implementation of SW-PBIS, which entails difficulties in retaining a control group over the required time period. Therefore, two waves of recruitment are used, encompassing different procedures of allocation to intervention or control group.Trial registrationClinicalTrials.gov Identifier: NCT06270914 on the 22nd of February, 2024 (retrospectively registered).

Impact of Sliding Window Variation and Neuronal Time Constants on Acoustic Anomaly Detection Using Recurrent Spiking Neural Networks in Automotive Environment

Acoustic perception of the automotive environment has the potential to advance driving potentials with enhanced safety. The challenge arises when these acoustic perception systems need to perform under resource and power constraints on edge devices. Neuromorphic computing has introduced spiking neural networks in the context of ultra-low power sensory edge devices. Spiking architectures leverage biological plausibility to achieve computational capabilities, accurate performance, and great compatibility with neuromorphic hardware. In this work, we explore the depths of spiking neurons and feature components with the acoustic scene analysis task for siren sounds. This research work aims to address the qualitative analysis of sliding windows’ variation on the feature extraction front of the preprocessing pipeline. Optimization of the parameters to exploit the feature extraction stage facilitates the advancement of the performance of the acoustics anomaly detection task. We exploit the parameters for mel spectrogram features and FFT calculations, prone to be suitable for computations in hardware. We conduct experiments with different window sizes and the overlapping ratio within the windows. We present our results for performance measures like accuracy and onset latency to provide an insight on the choice of optimal window. The non-trivial motivation of this research is to understand the effect of encoding behavior of spiking neurons with different windows. We further investigate the heterogeneous nature of membrane and synaptic time constants and their impact on the accuracy of anomaly detection. On a large scale audio dataset comprising of siren sounds and road traffic noises, we obtain accurate predictions of siren sounds using a recurrent spiking neural network. The baseline dataset comprising siren and noise sequences is enriched with a bird dataset to evaluate the model with unseen samples.

Exploring the physiological response differences of β-caryophyllene, linalool and citral inhalation and their anxiolytic potential

Essential oils with β-caryophyllene, citral, and linalool as key compounds often exhibit some anti-anxiety like effects in aromatherapy. However, evidence of the effect of these three compounds through human inhalation remains limited. It is worth exploring their potential anxiolytic effect through the olfactory pathway, and finding out whether the three compounds lead to different physiological responses. A total of 48 subjects were randomly assigned to three odor (β-caryophyllene, citral, and linalool) inhalation groups and one control (odorless jojoba oil) group. Stress stimulation was induced using n-back and mental arithmetic tasks. The odor was administered before the task test session. Assessments including the State-Trait Anxiety Inventory (STAI), electroencephalogram (EEG) activities, facial expressions, several physiological indicators, and a self-report scale of subjective perception of the odor environments were carried out. The changes before and after inhalation, as well as the inter-group differences, were analyzed. Both β-caryophyllene and citral inhalation led to a significant decrease in anxiety levels, while only β-caryophyllene resulted in a notable reduction across both sub-scales of STAI. Following the odor inhalation, heart rate significantly decreased in all three groups, with the β-caryophyllene group exhibiting the most pronounced decline. While the systolic blood pressure of the linalool group demonstrated a statistically significant difference. Regarding facial expressions, β-caryophyllene significantly increased the ratio of 'Happiness' and decreased the ratio of ‘Fear'. In the non-task state, citral reduced the power of frontal alpha, delta, and theta waves while β-caryophyllene had a similar effect. All odor inhalation groups showed increased delta and theta waves after the task compared with the control group, with the β-caryophyllene group having notably lower frontal beta waves. β-Caryophyllene and citral exhibited good anti-anxiety effects. Subjects receiving different odors showed different EEG and physiological responses, indicating the differences in emotional regulation ways among the three compounds.

Burnout and Well-Being in Trainees: Findings From a National Survey of US Obstetrics and Gynecology Residents.

Background Despite national attention on resident well-being, challenges persist. Effective solutions require greater understanding of personal and program factors. Objective To explore burnout, resilience, self-reported mental health, and perceptions of the learning environment in a national sample of obstetrics and gynecology (OB/GYN) residents. Methods An observational cross-sectional survey of OB/GYN residents taking the January 2022 national in-training examination included an abbreviated 2-item Maslach Burnout Inventory, a short version of the Connor-Davidson Resilience Scale, and subjective experience of other factors. Kruskal-Wallis and chi-square tests explored differences in outcomes and associations between variables. Results Among 5761 residents taking the examination, 3741 (64.9%) participated, with 2425 of 3741 (64.8%) reporting burnout, 2138 (57.2%) depression, 2651 (70.9%) anxiety, and 147 (3.9%) suicidal ideation. Women fared worse than men in terms of burnout (2105 of 3147, 66.9% vs 281 of 496, 56.7%, P<.001), depression (1843 of 3147, 58.6% vs 256 of 496, 51.6%, P=.004), anxiety (2318 of 3147, 73.7% vs 294 of 496, 59.3%, P<.001), and resilience (5.9±2.1 vs 6.2±2.1, P=.006). More nonbinary residents considered leaving residency (17 of 49, 34.7% vs 676 of 3147, 21.5% [women] and 108 of 496, 21.8% [men], P=.008). Race-based differences were seen in depression, suicidal ideation, and thoughts of leaving residency. Increased binge drinking was reported with increasing postgraduate year. Among 614 residents reporting that well-being was not a priority in their program, 539 of 614 (87.8%) reported burnout, 469 of 614 (76.4%) depression, and 508 of 614 (82.7%) anxiety. Conclusions Residents report high rates of mental health concerns, and these are worse among women, gender nonconforming individuals, Black residents, and those who perceive well-being is not a priority in their training program.

The role of school safety perceptions in childhood asthma diagnosis disparities.

Childhood racial and ethnic asthma disparities in the United States are the consequence of structural inequities such as those in socioeconomic status (SES) and exposure to violence, but little research has explored the role of the school environment in perpetuating racial and ethnic disparities. This study examines associations between perceptions of unsafe school environments (USEs) and subsequent asthma diagnosis for elementary-aged children and the extent to which USE mediates relations from SES and race/ethnicity to asthma diagnosis for Black, Latinx, and non-Latinx White children. We conducted a secondary analysis of data from the Early Childhood Longitudinal Study. Structural equation modeling was used to evaluate the association between USE and subsequent asthma diagnosis, controlling for child sex, and indirect effects of SES and race/ethnicity on asthma diagnosis via USE. For 6,532 children, USE in second grade positively predicted new asthma diagnoses in third grade and mediated the association between SES and new asthma diagnosis. SES and USE serially mediated the relationship between race/ethnicity and asthma diagnosis. Identifying as non-Latinx White was associated with a lower likelihood of subsequent asthma diagnosis via higher SES and lower USE while identifying as Black or Latinx was associated with a higher likelihood of subsequent asthma diagnosis via lower SES and higher USE. USE was associated with pediatric asthma diagnosis and mediated the relationship between SES and asthma diagnosis as well as race/ethnicity and asthma diagnosis. Findings highlight the need to consider USE as a social determinant of health for pediatric asthma. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Wireless sensor fusion localization method for target vehicles in a collaborative environment of vehicle road trajectory information

Abstract Vehicle positioning technology is the foundation for achieving traffic management. Vehicle positioning errors are significant in complex environments, making it challenging to ensure positioning accuracy. To reduce positioning errors, this paper explores a wireless sensor fusion localization method for target vehicles in a collaborative environment of vehicle road trajectory information. Based on wireless sensor data, we achieve collaborative environmental perception of vehicle and road trajectory information and construct a target vehicle trajectory optimization model. Through a fuzzy neural network, data from different sensors are integrated to overcome the problem of limited positioning accuracy of a single sensor in a complex environment. The experimental results show that both the heading angle and rolling angle errors float between −0.1° and 0.1°, and the positioning error is less than 0.1 m, which proves that the method has high positioning accuracy and good application value.

PV-LaP: Multi-sensor fusion for 3D Scene Understanding in intelligent transportation systems

Intelligent transportation systems are pivotal in modern urban development, aiming to enhance traffic management efficiency, safety, and sustainability. However, existing 3D Visual Scene Understanding methods often face challenges of robustness and high computational complexity in complex traffic environments. This paper proposes a Multi-Sensor Signal Fusion method based on PV-RCNN and LapDepth (PV-LaP) to improve 3D Visual Scene Understanding. By integrating camera and LiDAR data, the PV-LaP method enhances environmental perception accuracy. Evaluated on the KITTI and WHU-TLS datasets, the PV-LaP framework demonstrated superior performance. On the KITTI dataset, our method achieved an Absolute Relative Error (Abs Rel) of 0.079 and a Root Mean Squared Error (RMSE) of 3.014, outperforming state-of-the-art methods. On the WHU-TLS dataset, the method improved 3D reconstruction precision with a PSNR of 19.15 and an LPIPS of 0.299. Despite its high computational demands, PV-LaP offers significant improvements in accuracy and robustness, providing valuable insights for the future development of intelligent transportation systems.

Biomimetic Hydrodynamic Sensor with Whisker Array Architecture and Multidirectional Perception Ability.

The rapid development of ocean exploration and underwater robot technology has put forward new requirements for underwater sensing methods, which can be used for hydrodynamic characteristics perception, underwater target tracking, and even underwater cluster communication. Here, inspired by the specialized undulated surface structure of the seal whisker and its ability to suppress vortex-induced vibration, a multidirectional hydrodynamic sensor based on biomimetic whisker array structure and magnetic 3D self-decoupling theory is introduced. The magnetic-based sensing method enables wireless connectivity between the magnetic functional structures and electronics, simplifying device design and endowing complete watertightness. The 3D self-decoupling capability enables the sensor, like a seal or other organisms, to perceive arbitrary whisker motions caused by the action of water flow without complex calibration and additional sensing units. The whisker sensor is capable of detecting a variety of hydrodynamic information, including the velocity (RMSE<0.061ms-1) and direction of the steady flow field, the frequency (error<0.05Hz) of the dynamic vortex wake, and the orientation (error<7°) of the vortex wake source, demonstrating its extensive potential for underwater environmental perception and communication, especially in deep sea conditions.

신규교사 직무환경과 직무만족도와의 영향관계 분석

This study analyzed the perception of job environment and job satisfaction of 748 new teachers, and the influence relationship between job environment and job satisfaction. The research results are as follows. First, new teachers’ job satisfaction was at a normal level, and their perception of the work environment was at a normal and below average level, excluding job stability. Second, in the analysis of group differences in new teachers’ job satisfaction and work environment, the perception of new elementary school teachers was statistically lower than that of new teachers at other school levels. Third, both internal and external job factors were influencing the job satisfaction of new teachers. Based on the research results, suggestions were made to improve the financial compensation system and Creating conditions for participation in the decision-making process for new teachers, cooperate with homeroom teachers, develop capabilities, and establish a work environment evaluation system.

캄보디아 아동·청소년의 디지털 리터러시 수준과 관련 요인 분석

Purpose: The purpose of this study is to analyze the digital literacy and factors among children and adolescents in Cambodia. Originality: While the Cambodian government emphasizes the cultivation of digitally literate citizens, opportunities for digital education within the public education system are lacking. This study assesses the digital literacy of Cambodian adolescents and explore related factors to provide insights for implementing digital education within Cambodia's public education. Methodology: This study conducted a survey targeting students in grades 5-10 across 26 elementary and secondary schools within the project areas of the ‘Child fund’. Hierarchical regression analysis was performed using the collected data. Result: The digital literacy score of adolescents averaged 49.2 out of 100, indicating a relatively low level. The digital literacy varied according to gender, grades, interest in digital activities, digital usage at home, and perceptions of the school's digital learning environment. Boys had higher digital literacy levels than girls, higher-grade students scored better than lower-grade students, and students with a greater interest in digital activities also had higher digital literacy levels. Adolescents from homes with higher digital accessibility, such as computers, tablets, and internet access, showed higher digital literacy levels. However, those who primarily used internet-enabled phones had lower digital literacy levels. Conclusion and Implication: The digital literacy levels of adolescents vary based on individual characteristics and experiences. When designing digital education within Cambodia's public education system, it is essential to consider the personal characteristics and experiences of the children and adolescents. Additionally, efforts are needed to improve the digital learning environment in schools and to provide positive digital experiences outside of school, including at home.

The Impact of the Learning Environment on Self-efficacy and Achievement Goals of Israeli Pre-service Teachers

Advancing public education by improving the skills and knowledge of its teachers is a major challenge. The teacher-training phase shapes not only skills and abilities but also perceptions of pre-service teachers regarding their educational and teaching goals. We examined a hypothetical theoretical model that explains how pre-service teachers’ perceptions of their own learning environment affects belief in their self-efficacy in teaching, and how this shape their achievement goals in teaching as future educators. The study included 278 pre-service teachers studying at all five colleges in our country that offer teacher training programs. Existing questionnaires were adapted to the study population and underwent structure validation. The hypothesized structural model was deemed a good fit for the data and was able to explain 35% of variance in the mastery goals of pre-service teachers, 24% of variance in performance-approach goals, and 65% of variance in performance-avoidance goals. The structural model shows that perception of the learning environment has a strong and significant impact on teaching ability and the achievement goals of pre-service teachers. Fostering a constructivist learning environment in teacher training colleges may increase belief in self-efficacy in teaching and enable pre-service teachers to adopt teaching control goals.

EVALUATING THE DENTAL LEARNING ENVIRONMENT: A STUDENT-CENTRIC PRESPECTIVE ACROSS PRECLINICAL AND CLINICAL YEARS USING DUNDEE READY EDUCATION ENVIRONMENT MEASURE (DREEM) TOOL

Objectives: The learning environment has a profound role in students learning and success. It also has an integral role in the development of the curriculum. The aim of this study to evaluate the learning environment and compare dental students' perception of the learning environment of pre-clinical and clinical years. Materials and Methods: This cross-sectional study was conducted from October 2023 to April 2024. A total of 170 both male and female BDS students from all four years at the Bacha Khan College of Denistry were included in the study. A stratified random Sampling Method was used. Students migrated from other colleges in the middle of the sessions and students currently working as interns or house officers were excluded from the study. Dundee Ready Education Environment Measure (DREEM), a 50-item questionnaire that uses a 5-point Likert scale (4 = strongly agree to 0 = strongly disagree) was used to measure strength of agreement with statements on five domains of learning. Learning (L), Teaching (T), Academic self-perception (ASP), Atmosphere (A) and Social self-perception (SSP). Frequency distributions and descriptive statistics were tabulated in IBM SPSS (version 21). Mean scores for each dimension of learning were used for analysis. Comparative analysis was done using independent sample t test. Results: The DREEM questionnaire was completed by 147 students, 78 1st and 2nd year students (preclinical training phase) while 69 3rd and 4th year students. 34.6% of the participants were male and 66.6% were female. The mean age of the participants was 21.4 years (SD=1.72). Tukey's post hoc analysis within the participants revealed a significantly lower DREEM score of the Final year compared with the 1st year (p &lt; .003), and 3rd year (p&lt; 0.031). The items within each domain with the biggest signifi cant differences (p ≤ 0.05) was between Pre-Clinical Training Phase and Clinical training. Conclusion: This study examined the educational setting in our institution. The students of Bacha Khan College of Dentistry showed a predominantly satisfaction with their educational environment. The primary results indicated that students in the early stages of their studies, namely those in their pre-clinical years had positive opinions across all aspects of their learning environment. Overall, the findings from the study highlight the importance of understanding how students perceive their educational environment throughout diff erent stages of their dental training. By delving deeper into these differences and correlations, educators and administrators can make informed decisions to enhance the curriculum and ultimately improve the learning experience for students. This implies that a more tailored and effective approach to dental education could lead to better outcomes and preparedness for future dental professionals.

It is child's play: Caregiver and playworker perspectives on a community park-based unstructured play program.

Unstructured play is characterized as play that is child initiated and determined, allowing children the freedom and flexibility to engage in activities, including taking risks, without adult intervention. However, playworkers and caregivers are important mediators of children's unstructured play. Studies have investigated playworker and caregiver perspectives regarding play, yet few have done so within the context of community based unstructured play interventions. Our qualitative study explored knowledge, attitudes and perspectives regarding play among playworkers ("play ambassadors") and caregivers exposed to a community based unstructured play intervention implemented in Calgary, Canada. The intervention aimed to encourage unstructured and risky play in local parks via loose parts. Between August and October 2020, ten caregivers and four play ambassadors completed individual semi-structured interviews. Using thematic analysis, we identified four overarching themes. The importance of play (theme 1) reflected play ambassador and caregiver perspectives about how unstructured and risky play promoted health and development and offered opportunities for enjoyment, exploration, and social interaction. Perceptions of the play environment (theme 2) reflected play ambassador and caregiver experiences of the play hubs including the role of loose parts in shaping play. Challenges and triumphs in promoting play (theme 3) reflected play ambassador experiences in facilitating play as well as interactions between caregivers and play ambassadors. Play hub impacts on the community (theme 4) reflected play ambassador and caregiver perspectives on the role of the play hubs in facilitating social interactions and community engagement. Play Ambassadors and caregivers shared common beliefs about the benefits of unstructured and risky play and about the play hubs affects on facilitating social interactions. Community based unstructured play interventions may support play and promote a sense of community.

Does Environmental, Social and Governance Disclosure Practices Promote Customer Brand Perception? The Moderating Effect of Customers’ Sustainability Responsiveness

Environmental, social and governance (ESG) aspects have garnered considerable attention in corporate management on a global scale in recent times. As a result, researchers have paid notable attention to this subject. Though numerous studies have already explored various aspects of ESG in the context of emerging economies like Bangladesh, there is limited evidence on whether ESG practices promote customer brand perception (CBP). This study measures the impact of ESG on CBP deploying structural equation modeling in an emerging economy by analyzing the responses of 450 samples in accordance with the philosophies of triple bottom line theory and signaling theory. The results indicate that sustainability responsiveness, social and environmental disclosure practices, and CBP are positively impacted. Customers’ enhanced level of sustainability responsiveness strengthens the influence of governance disclosures in choosing a brand, while weakens the impact of environmental and social disclosures. However, the study concludes there is no significant effect of governance disclosures on CBP. The findings also reveal that social issues have the strongest impact on CBP among the ESG parameters. As sustainability concerns increase, customers either demand more sustainability performance from brands or their impression of the brands declines correspondingly. The study outlines a customer’s viewpoint on the requirements of ESG and sustainability concerns, which will contribute organizations to adopt appropriate ESG strategies and address sustainability challenges to win over customers and strengthen their brand image.

Redefining Spectral Data Analysis with Immersive Analytics: Exploring Domain-Shifted Model Spaces for Optimal Model Selection.

Modern developments in autonomous chemometric machine learning technology strive to relinquish the need for human intervention. However, such algorithms developed and used in chemometric multivariate calibration and classification applications exclude crucial expert insight when difficult and safety-critical analysis situations arise, e.g., spectral-based medical decisions such as noninvasively determining if a biopsy is cancerous. The prediction accuracy and interpolation capabilities of autonomous methods for new samples depend on the quality and scope of their training (calibration) data. Specifically, analysis patterns within target data not captured by the training data will produce undesirable outcomes. Alternatively, using an immersive analytic approach allows insertion of human expert judgment at key machine learning algorithm junctures forming a sensemaking process performed in cooperation with a computer. The capacity of immersive virtual reality (IVR) environments to render human comprehensible three-dimensional space simulating real-world encounters, suggests its suitability as a hybrid immersive human-computer interface for data analysis tasks. Using IVR maximizes human senses to capitalize on our instinctual perception of the physical environment, thereby leveraging our innate ability to recognize patterns and visualize thresholds crucial to reducing erroneous outcomes. In this first use of IVR as an immersive analytic tool for spectral data, we examine an integrated IVR real-time model selection algorithm for a recent model updating method that adapts a model from the original calibration domain to predict samples from shifted target domains. Using near-infrared data, analyte prediction errors from IVR-selected models are reduced compared to errors using an established autonomous model selection approach. Results demonstrate the viability of IVR as a human data analysis interface for spectral data analysis including classification problems.

Gender differences in the perception of the indoor environment: Findings from residential buildings in a nordic climate

Current research suggests gender (“sex assigned at birth”) differences with respect to indoor environmental conditions, indicating females are more critical and demanding towards satisfaction and preferences. The present paper analyzes the results of a subsample of a national survey completed in 375 representative dwellings in Sweden. The survey collected information on twelve comfort factors and satisfaction aspects concerning thermal comfort, indoor air quality, acoustic comfort, satisfaction with daylight, size, standard, layout, appearance, well-being, cost, and neighborhood. Advanced statistical analyses were used to investigate whether the responses of occupants experiencing similar indoor conditions (cohabitation) were different with respect to gender. The analysis did not observe any significant gender differences with respect to the ratings of indoor environments in dwellings. Males reported slightly higher satisfaction, while thermal and acoustic comfort exhibited the highest gender variability. Satisfaction aspects were generally very high, with the costs and acoustic comfort registering the highest levels of dissatisfaction. Additional analyses across various building characteristics and individual attributes (variables levels) confirmed no differences. Several hypotheses were put up to explain these results, including the extreme climatic conditions and the collaborative use of dwellings. The findings suggest that Swedish dwelling designs can provide some best practice guidance for stakeholders and practitioners elsewhere in similar climatic conditions. Future studies should confirm the present observations and the social and cultural aspects of the findings.

Examining the ecological validity of VR experiments in soundscape and landscape research

With the widespread adoption of Virtual Reality (VR) technology, researchers increasingly employ VR-based laboratory experiments to recreate intricate audio-visual environments and gather subjective data on environmental perceptions. However, critics often question the generalizability of findings from such experiments to real-world settings. To address this concern, this study investigated the ecological validity—i.e., the extent to which laboratory data reflects real-world perception—of VR experiments in soundscape and landscape research. This present study employed a three-step experimental method, including a series of comparison experiments, to investigate the influence of auralization, visualization, and human-computer interaction (HCI) on ecological validity. Regarding auralization method, results indicated that an adjustment of −8 dB would optimize the ecological validity. Besides, ambisonics and synthesis had significantly higher ecological validity than monoaural, while ambisonics and synthesis have their own merits. For visualization factors, 3D video showed a higher level of verisimilitude, but modelling also showed the potential, especially paired with ambisonics audio. Additionally, virtual walking significantly enhanced ecological validity as an HCI factor. Lastly, descriptors were proposed to measure the ecological validity using verisimilitude and veridicality approaches.