Cuedriven

Cuedriven refers to systems, methods, or behaviors that are guided by cues—signals that indicate what action to take or what state to expect. In psychology, cue-driven processes describe how environmental stimuli trigger memories, emotions, or responses, often studied in cue-dependent memory and conditioned learning. In neuroscience, cue-driven activity links neural responses to predictive cues that precede outcomes, supporting models of expectancy and decision making.

In behavior analysis and rehabilitation, cue-driven training uses salient cues to shape actions and facilitate learning, with cues ranging from verbal prompts to environmental triggers. In human-computer interaction and UX, cue-driven interfaces present cues—visual, auditory, or haptic—that steer user behavior or inform decisions, typically to improve usability and safety.

In artificial intelligence and machine learning, cue-driven approaches rely on cues or prompts to steer model outputs or agent policies. This includes cue-based prompting in language models, cue-aware perception in robotics, and sensor-driven decision making where external signals determine actions. The term is often used descriptively rather than as a formal method name, and may overlap with related concepts such as cue-based learning, conditional cues, and attention to salient signals.

Applications span automation, adaptive systems, education, and clinical settings. Limitations include dependency on cue salience, potential misinterpretation when cues are ambiguous, and reduced performance if cues do not reliably predict outcomes.

There is no standardized version of “cuedriven” beyond its general usage as a descriptor for cue-guided processes.