Thinking Outside the [Chat]Box: Bridging Computer Science and Industrial Design for Cognitive-Inclusive Generative AI
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arXiv:2606.14306v1 Announce Type: cross Abstract: Current Generative AI (GenAI) interfaces remain largely constrained to chatbox interaction, which can impose high cognitive demands on users and create substantial barriers for people with intellectual disabilities (ID), including prompt formulation difficulties, response overload, and limited mechanisms to assess information reliability. To explore alternative interaction models for cognitive accessibility, we conducted a cross-disciplinary co-design challenge in which two student cohorts (Computer Science and Industrial Design) developed inte
The proliferation of Generative AI has highlighted significant accessibility barriers with current interfaces, especially for diverse user groups.
Improving the accessibility and usability of GenAI interfaces is critical for broader adoption and for unlocking its potential across diverse populations, preventing a digital divide.
The focus is shifting from pure generative capability to the human-computer interaction layer, integrating principles of industrial design and cognitive accessibility into AI development.
- · AI interface designers
- · People with intellectual disabilities
- · Inclusive technology providers
- · Generative AI platforms prioritizing UX
- · Legacy chatbox-only GenAI interfaces
- · Developers ignoring accessibility
- · Companies with high cognitive load AI products
GenAI interfaces will evolve beyond text-based chatboxes to incorporate more intuitive and cognitively accessible interaction models.
Increased user engagement for a wider demographic, leading to more diverse applications and data inputs for AI training.
New design paradigms for human-AI collaboration emerge, influencing the future of digital product development across sectors.
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Read at arXiv cs.AI