"I WANT": Agency and Accessibility in the Age of AI
Notice bibliographique
Résumé
"I WANT access to public buildings and technologies"; "I WANT all stairs to have railings"; "I WANT there to be a talking pedestrian sign"; "I WANT curbs to be more noticeable"; "I WANT technology that is dedicated to the blind". Young, vision-impaired learners from across the world, participating in our team’s human-centered research and participatory design initiatives, express an impassioned desire for agency and inclusive space making. Utilizing these statements as a foundational element of the participatory design process, our work continues to explore the intersection of AI and inclusive space-making, the methods employed through human-centered research and computational techniques such as machine learning and app development, and the potential contributions of these interventions to a more accessible future. This paper presents a two-part investigation into the role of advanced technological interventions and participatory design in shaping the future of architecture and design. Part 1 explores the outcomes of AI assistive device research centered on the voices of future professionals. This phase involved interviews and focus group discussions with blind and visually impaired individuals, designers, and computer scientists in an ongoing human subject research, leading to the creation of an AI-driven navigation app. Part 2 anticipates the deployment of working prototypes derived from these participatory design processes during [Affiliation Placeholder]'s annual Blind Design Workshop, in which more than a dozen young people with vision-impairment participate each spring. Its itinerary includes analog exercises in drawing and model-making (using material samples and wax sticks on Braille graph paper), guided tours of multi-sensory learning spaces across [Location Placeholder], accessible training in the production of 3D-prints and embossed drawings, and mentorship from practicing design professionals of the vision-impaired community, culminating in a final presentation and group critique of accessible design proposals. The workshop is a unique career exploration experience in architecture for individuals with vision impairment, designed to empower them with the understanding that they can have agency in the space-making process by giving them a voice and teaching them to architect their ambitions for the future. The synergy of AI and architecture presents profound opportunities to propel young, vision-impaired individuals from passive observers to active participants in crafting inclusive environments. Our paper discusses how innovative approaches to research and learning can seed future generations with the goal of harnessing AI for social impact in design and substantiating their role as the vanguards of a more accessible world. The outcomes of this study hold the potential to shape pedagogical strategies and industry standards, contributing to a profound reimagining of inclusive design education and practice.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».