Reflektiflike

Reflektiflike is a coined term used in design theory, cognitive science, and human-computer interaction to describe objects, systems, or processes that resemble or enact reflective thinking. The word combines a root related to reflection with the English suffix -like, signaling similarity to reflective processes rather than complete equivalence.

Overview and characteristics

A reflektiflike system emphasizes meta-cognitive traceability. Its outputs typically include justifications, the questions considered, alternative options, and the reasoning steps that led to a conclusion. This outward display of internal deliberation is intended to aid understanding, critique, and accountability. Reflektiflike designs often integrate provenance data, justification prompts, and explicit notes about uncertainty or bias.

Applications

In technology and education, reflektiflike interfaces encourage users to articulate reasoning and compare it with alternative paths. In AI and decision-support tools, proponents argue that reflektiflike features enhance transparency and user trust by making decision processes more inspectable. Critics warn that exposing internal deliberations can reveal sensitive information, reveal systemic biases, or overwhelm users with excessive detail.

Distinctions and limitations

Reflektiflike is distinct from general reflective practice by its emphasis on external artifacts that visibly demonstrate reflection. It is not a fixed standard but a set of design goals that are evolving across disciplines. Establishing consistent metrics for what counts as reflektiflike remains a challenge, and practical implementations must balance transparency with usability and privacy considerations.

See also

Metacognition, Reflective practice, Explainable AI, Traceability, Accountability in design.