This document describes a real‑time activation model used to estimate the availability of propositional content (EDUs, e.g. sentences) in memory during reading‑to‑write tasks. The model treats reading as a stream of memory‑updating events that dynamically shape which ideas are available for writing under time pressure and interference and is driven by eye‑movement–derived events but abstracts away from word‑level processing. It is intended to capture proposition‑level availability, not surface recall.

Presented at the 39th HSP Annual Conference on Human Sentence Processing at MIT, Cambridge, MA, Thursday 26th March 2026, 4 -- 6.05 pm.

NTU Psychology Away Day Dec 2025

Poster presented at AMLaP 2025 in Prague

Slides for a talk at the Vision Sciences Research Group away day (University of Leicester) delivered on the 28th of July 2025 in Leicester.

Ideas cascading into keystrokes -- Modelling writing hesitations as Bayesian mixture process

Analysis and results of the final evaluation of prowrite

Fitting mixed-effects and log-Gaussian mixture models on text writing data

Slides for RMarkdown workshop

Pronunciation data

Talk at SIG Writing 2022 (Umea, Sweden)

sum contrasts on dependency

A developmental comparison of writing skills in Norwegian first grades learning handwriting or keyboard typing.

This walkthrough demonstrates how to apply Stan models to copy-task data via R and the R package rstan. The Stan code related to this project can be found on OSF: https://osf.io/y3p4d/

Recap inferential statistics for year 1 psychology

Lecture slides on the evaluation of lm models