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Accessibility and hybrid interfaces

Accessibility and hybrid interfaces

Natural language opens some doors and closes others.

On one hand it lowers barriers: for deaf people a conversational system opens access to otherwise frustrating services. For those with cognitive difficulties, a step-by-step conversational guide is more flexible than a rigid wizard; for those moving between languages and cultures, register alignment reduces misunderstandings; for those with dyslexia or dysorthography, speaking instead of writing changes the quality of access.

On the other it raises new ones. Prompt-based interfaces load the formulation of precise requests onto the user, and the articulation barrier hits precisely the categories chat promises to include: the study of about 80 deaf and hard-of-hearing people shows that, for those with sign language as their mother tongue, formulating effective prompts in written English is the main difficulty of use — “as a native ASL user it takes time to build the right prompt, because the channel is only text”. Automatic adaptation does not compensate (see The conversational interface: models only respond to explicit requests, which those with lower literacy struggle to produce). For blind and low-vision users conversational interfaces hardly replace screen readers and mature standards; the study by Adnin and Das on 19 blind users (ASSETS ‘24, Northeastern University) shows that inaccessibilities — unlabeled buttons, unannounced feedback — induce erroneous mental models of the system, which distort trust calibration.

The answer is not choosing between chat and GUI, but designing hybrid interfaces: conversational and graphic elements, guided paths and direct commands, textual, vocal, and visual inputs — each user chooses the mode suited to the context and the moment.

Effects and role responsibilities