Evaluation of the main sensitivity drivers in relation to indoor comfort for individuals with autism spectrum disorder. Part 1: Investigation methodology and general results

Caniato, Marco; Zaniboni, Luca; Marzi, Arianna; Gasparella, Andrea

doi:10.1016/j.egyr.2022.01.009

Cited by 22 publications

(13 citation statements)

References 47 publications

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“…Among the selected variables, light and color strongly correlate with the behavior of ASD children when compared to space and wayfinding. The results of the present study are on par with the literature (88)(89)(90)(91)(92)(93). Every autistic individual is unique; each person reacts differently to the environment and sensory stimuli besides having individual preferences and aversions.…”

Section: Impacts Of Colorssupporting

confidence: 82%

A case study on the effect of light and colors in the built environment on autistic children’s behavior

et al. 2022

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BackgroundThe importance of strategies and services by caregivers and family members substantially impact the psychological and emotional wellbeing of autistic children. The rapid research developments in clinical and non-clinical methods benefit the features of autistic children. Among various internal and external factors, the influence of the built environment also impacts the characteristics of autistic children. This study investigates primarily the psychological effect of light and colors on the mood and behavior of autistic children to identify the most favorable and preferred indoor lights and color shades.MethodsA questionnaire survey was conducted at an autism center among autistic children and their parents. This study included autistic children aged between 6 and 16 (45 males, 42 females, mean age 8.7 years, standard deviation 2.3). Eighty-seven participants were involved in the survey to determine the sensory perceptions, intolerance, preferences, and sensitivities of children with an autism spectrum disorder toward colors and lighting. The margin of error at the statistical analysis’s 95% confidence level is ± 0.481.ResultsAs per this case report, the children have various color preferences and respond differently to different shades. Different hues have varying effects on autistic children, with many neutral tones and mellow shades proven to be autistic-friendly with their calming and soothing effect, while bright, bold, and intense colors are refreshing and stimulating. The stimulus of bright-lighting causes behavioral changes in autistic children prone to light sensitivity.ConclusionThe insights gained from this interaction with parents and caretakers of autistic children could be helpful for designers to incorporate specific autistic-friendly design elements that make productive interior spaces. A complete understanding of the effect of factors like color and lighting on the learning ability and engagement of autistic children in an indoor environment is essential for designers and clinicians. The main findings of this study could be helpful for a designer and clinicians to address designing an autism-friendly built environment with a color palette and lighting scheme conducive to their wellbeing and to maximize their cognitive functioning.

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Section: Impacts Of Colorssupporting

confidence: 82%

A case study on the effect of light and colors in the built environment on autistic children’s behavior

et al. 2022

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“…The sensitivity of the "sporadic" type was about 5% for all 4 comfort domains (Figure 3). In this paper, only general results on the four comfort domains are reported, while a complete analysis of all the questions explored in the sensitivity questionnaire is reported in [36,37].…”

Section: Results Of the Sensitivity To Environmental Domainsmentioning

confidence: 99%

“…Results were collected both via an open online questionnaire and an offline questionnaire administered on-site at an organization of daycare services [36,37].…”

mentioning

confidence: 99%

Requirements of a Supportive Environment for People on the Autism Spectrum: A Human-Centered Design Story

et al. 2023

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People on the autism spectrum have a different perception of the environment than neurotypical people and often require support in various activities of daily living. Assistive technology can support those affected, but very few smart-home-like technologies exist. To support people on the autism spectrum in their autonomy and safety and to help caregivers, a smart home and interior design environment was developed. Requirements were gathered by employing a holistic human-centered design approach through interactive workshops and questionnaires to create a useful and user-friendly solution. From this process, requirements for a comprehensive solution (the SENSHOME environment) emerged. These requirements include a set of functionalities tailored to the needs of people on the autism spectrum, such as a crowd warning that informs when many people are in a certain area (for example, the entrance), an automatic light regulation system, or a daily life planner that supports task completion. Furthermore, inclusive furniture elements such as a refuge seat or a table with dividers can support wellbeing, autonomy, and safety. This paper demonstrates a consequent and considerable participatory research approach and the story from the target group and context of use through design requirements to the initial design solution of the SENSHOME environment.

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“…RT 20 and RT 30 are the reverberation times estimated by the slope of the Schroeder backward-integrated decay, respectively, in the [dB] ranges: [25,225] for RT 20 and [25,235] for RT 30 . 41 C 50 is the ratio, in dB, between the ''useful energy'' received in the first 50 ms of the impulse response to the energy received in subsequent instants.…”

Section: Room Acoustic Metricsmentioning

confidence: 99%

“…Bettarello et al 24 have investigated the combination of the needs of autistic people with hearing impairment or hypersensitivity to sound using assistive sensors and indoor acoustic requirements. Caniato et al 25 have developed an approach to analyze stress induced on autistic people in uncomfortable domains, including the acoustic one.…”

Section: Introductionmentioning

confidence: 99%

Assessment of speech intelligibility in scholar classrooms by measurements and prediction methods

et al. 2023

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According to Italian regulation, the Ministerial Decree of 11 October 2017 about Environmental Criteria, reference values for acoustic indoor quality descriptors in public buildings are imposed. Regarding school environments, indoor acoustic quality targets refer to reverberation time, clarity, and speech intelligibility, whose representative acoustic descriptor is the speech transmission index (STI). This paper presents pyeSTImate, a Python-based tool for speech transmission index prediction in lecture rooms. The tool returns fully simulated results from the dimensions and material characteristics of classrooms with parallelepiped geometry and without limitations in size. Extensive experiments have been conducted with different simulation methods, evaluating the accuracy by comparison with in situ measurements selected from primary, secondary, and university classrooms in school buildings of the Marche Region in Italy. The combination of simulated speech transmission indexes with a prediction method based on an artificial neural network has also been evaluated. The analysis of the performance demonstrates the computational robustness of the tool that enables its use for the analysis of existing rooms, as well as for the renovation and design of new spaces.

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Evaluation of the main sensitivity drivers in relation to indoor comfort for individuals with autism spectrum disorder. Part 1: Investigation methodology and general results

Cited by 22 publications

References 47 publications

A case study on the effect of light and colors in the built environment on autistic children’s behavior

A case study on the effect of light and colors in the built environment on autistic children’s behavior

Requirements of a Supportive Environment for People on the Autism Spectrum: A Human-Centered Design Story

Assessment of speech intelligibility in scholar classrooms by measurements and prediction methods

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