Exploring the "Freedom to be Me" through Design Sprints with Neurodivergent Scholars

This publication is included in the Autistic Autism Scholarship Project. one author of this publication is identified as autistic in the project.

About the autistic author marker

Boyd, L., Zolyomi, A., Hassan, S., Ibrahim, S. B., Wu, G., & Kender, K. (2024). Exploring the "Freedom to be Me" through Design Sprints with Neurodivergent Scholars. The 26th International ACM SIGACCESS Conference on Computers and Accessibility, 1-6. https://doi.org/10.1145/3663548.3688527

Publication date: 20 Oct 2024 Added to AutiHub: 21 Oct 2026 Type: Other Article language: English

This publication is integrated into AutiHub through:

Authors

Publication authors
6
Publication authors identified as autistic
1 / 6 (16.7%)

Abstract

Social stigma negatively impacts the well-being of neurodivergent individuals. Specifically for autistic people, the social isolation and pressure to conform to normative ways of being can take a tremendous toll; such as a thwarted sense of belonging to the point of higher rates of suicide. Yet, few technologies are directly targeting the problem of stigma. Socio-technical systems have tremendous potential to shift public perception of traditionally marginalized populations. However, these systems are not consistently designed to reflect the values and needs of neurodivergent individuals. This work explores the use of design sprints to envision CT– a spectrum of technology that could reduce social stigma by increasing the public’s awareness, accommodations, acceptance, advocacy, and appreciation. This work reports on two design sprints across 25 HCI community members with varying lived experiences with neurodiversity and knowledge of design practice. The resulting design concepts were discussed in the groups and then analyzed to reflect on how they might combat stigma. Results reveal designs that support the freedom to be oneself via (1) safe spaces (2) public understanding, and (3) authentic expression of strengths, challenges, and needs.

Bibliography cited by this reference

Cited references are imported from external metadata sources when they are available. The list may be partial.

Cited bibliography overview

These indicators describe the bibliography cited by this publication. An author name is counted each time it appears in one cited reference, so the same person can be counted more than once. Names not yet linked to an author already present in AutiHub are treated as unknown, not as non-autistic. Last computed: 23 Oct 2026 01:01.

Cited references
32
With a DOI
24
Without a DOI, from raw bibliography text
8
2 / 32 (6.2%) cited references include at least one author identified as autistic.
References with data to complete
2 / 32 (6.2%)
References with detected author names
30 / 32 (93.8%)
Without detected author names
2
Without a structured title
2
Without a stable identifier
7
References with raw author names still to review
2
References with external metadata lookup issues
0
These indicators apply to cited references displayed on this page, after technical duplicates have been merged. A reference without a DOI can still support author statistics when a title and author names are available.
Author names detected in the cited bibliography
73
From DOI or external metadata
73
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
2
18 / 73 (24.7%) names are linked to an author already present in AutiHub. 55 / 73 (75.3%) names are not yet linked.
Names linked to a person identified as autistic
3 / 73 (4.1%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 3 / 18 (16.7%). Distinct people identified as autistic: 3 / 70 (4.3%).
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