Neuroinclusive design

Neuroinclusive design, or neuro-inclusive design, references a human-centered approach of designing products, services, or environments in a manner that enables individuals of all sensory profiles to coexist within the same space. Neuroinclusive design creates spaces and experiences that are accessible and user-friendly for everyone, covering the entire neurodiversity spectrum.[1][2][3]
Neurodevelopmental conditions exist on spectrums, leading to variations in behavioral patterns between individuals with the same condition.[4][5][3] Therefore, different individuals often harbor unique environmental preferences, specifically concerning volume, color, spatial availability, simplicity, and pressure from societal interactions.[1][3] Over recent years, an increasing attentiveness towards neuroinclusivity has encouraged companies and academic institutions to modify products and workspaces to accommodate the neurodivergent community. [5]
Design Models Used in Education
[edit]According to the United Nations Department of Economic and Social Affairs, a key goal for sustainability includes offering equal educational opportunities for all humans.[6] This sustainability issue connects neuroinclusive design directly to improving academic support systems to provide proper accommodations for neurodivergent individuals across spectrums.[5][6]
Many institutions use foundational academic neuroinclusive design structures to guide students' education. One of the more commonly known models includes the strength-based model or strength-based practice.[5][7] The strength-based model focuses on an individual's capabilities rather than their weaknesses, allowing individuals to control their improvement in specific areas.[7] Higher education facilities often merge a strength-based model with specializations, customizing accommodations based on the students' academic interests. On one hand, researchers explain that the strength-based model retains limitations, especially when supporting neurodivergent students. The strength-based model's emphasis on specialization may contribute to the misconception that all neurodivergent individuals display exceptional capabilities within specific fields (e.g., foreign language inquisition or mathematical analysis).[5][8] These notions can decrease the strength-based model's effectiveness while also potentially making educational accommodations more burdensome for neurodivergent students.
Some institutions also focus on improving physical learning environments to promote equal educational opportunities for the neurodivergent community. An approach that advances these goals includes the Autism SPACE Framework, a system that outlines specific conditions that designers must consider prior to workspace or product development.[9] Within the Autism SPACE Framework, the acronym "SPACE" refers to sensory needs, predictability, acceptance, community, and empathy as five essential principles in an area that provides strong support for autistic individuals.[8][9] Additionally, the core values represented through the Autism SPACE Framework encourage further advancements in neuroinclusive design outside the classroom setting, including office workspaces or communal social spaces, to support neurodivergent individuals beyond those who are autistic.[3][4]
Technology
[edit]Alongside the increasing use of technology, more companies have prioritized improving human-computer interactions (HCI). HCI research focuses on personalizing digital interfaces to the user's preferences, usually aiming to make interactions easier.[10] Some concerns that surround HCI research include the neurodivergent community's limited involvement in the design process. These limitations may contribute to framing neurodivergent behaviors as atypical rather than natural variations in human behavior. Therefore, the resulting technological designs may not fully embrace the emotional and practical needs of neurodivergent users.[11]
See also
[edit]Further reading
[edit]- Sargent, Kay (6 December 2019). "Designing for Neurodiversity and Inclusion". Work Design Magazine.
- Mickovski, Natasha (7 April 2022). Design enabled: the everyday refuge for a neuro-inclusive city (Master's Thesis thesis). Laurentian University. Retrieved 5 September 2024.
References
[edit]- ^ a b Banks, Jeanine (December 5, 2022). "Why practice neuroinclusive software design". Google Cloud Blog.
- ^ Marble, John; Chabria, Khushboo; Jayaraman, Ranga (2024). Neurodiversity for dummies. for dummies. Hoboken, NJ: for dummies, a Wiley brand. ISBN 978-1-394-21617-8.
- ^ a b c d Education, Chartwells Higher. "Chartwells Higher Education Partners with Landmark College to Create More Supportive Dining Environments for Neurodivergent Students". www.prnewswire.com. Retrieved 2025-10-07.
- ^ a b Sargent, Kay (2019-12-06). "Designing for Neurodiversity and Inclusion". Work Design Magazine. Retrieved 2025-10-07.
- ^ a b c d e Quigley, Etain; Gallagher, Tara (2025-05-30). "Neurodiversity and higher education: double masking by neurodivergent students". European Journal of Special Needs Education: 1–17. doi:10.1080/08856257.2025.2511369. ISSN 0885-6257.
- ^ a b Nations, United. "Sustainable Development Goals: 17 Goals to Transform our World". United Nations.
- ^ a b Stoerkel, Erika (March 12, 2019). "What is a Strength-Based Approach? (Incl. Examples & Tools)". PositivePsychology.com.
- ^ a b Rajotte, Emilie; Grandisson, Marie; Couture, Mélanie M.; Desmarais, Chantal; Chrétien-Vincent, Myriam; Godin, Julie; Thomas, Nina (2025-04-03). "A Neuroinclusive School Model: Focus on the School, Not on the Child". Journal of Occupational Therapy, Schools, & Early Intervention. 18 (2): 281–299. doi:10.1080/19411243.2024.2341643. ISSN 1941-1243.
- ^ a b McGoldrick, Elaine; Munroe, Aoife; Ferguson, Rachel; Byrne, Carina; Doherty, Mary (August 2025). "Autistic SPACE for Inclusive Education". Neurodiversity. 3. doi:10.1177/27546330251370655. ISSN 2754-6330.
- ^ "Studying Human-Computer Interaction at Microsoft Research". www.science.org.
- ^ Spiel, Katta; Hornecker, Eva; Williams, Rua Mae; Good, Judith (2022-04-29). "ADHD and Technology Research – Investigated by Neurodivergent Readers". CHI Conference on Human Factors in Computing Systems. CHI '22. New York, NY, USA: Association for Computing Machinery. pp. 1–21. doi:10.1145/3491102.3517592. ISBN 978-1-4503-9157-3.