An Applied Ergonomics paper examining how accuracy, reliability, and personality jointly shape trust, arguing that accurate outputs alone do not guarantee trust.

Useful for separating output quality from consistency and human traits when evaluating systems whose acceptance depends on user trust.

The paper proposes a framework for personalizing speech and language support by separating message access, user-need estimation, and support selection. It adapts sentence segmentation, pictograms, and optional speech using behavioral feedback, with EEG treated as an uncertain supplementary signal. A staged evaluation will compare fixed, behavior-adaptive, and neuroadaptive interfaces.

Useful for interface researchers because it defines a testable comparison of whether EEG adds value beyond behavioral adaptation, without treating neural signals as direct measures of comprehension.