Seasonal User
A user whose AI-use intensity rises and falls over time with life phase, project load, or season, alternating intensive daily periods with extended pauses. The referent is the longitudinal, non-linear pattern of usage intensity for an individual.
Operational Definition
TREND. Tracked as the variability of an individual's AI-use intensity (e.g. sessions or active minutes per week) across a longitudinal window of at least several months. A user is classified seasonal when usage shows recurring high-low cycling exceeding a defined dispersion threshold rather than a stable or monotonic trajectory.
Measurement Schema
Proposed measurement protocol (not yet empirically validated): Longitudinal usage-intensity time series: weekly usage is logged over a multi-month window; intra-individual dispersion is summarised by the coefficient of variation and burstiness, and any periodicity by autocorrelation or spectral analysis. A user is flagged seasonal above a pre-registered coefficient-of-variation cut-off; reported with the distribution of dispersion scores across the panel.