Doing well-being: Self-reported activities are related to subjective well-being

In two studies, we examine the relationship between self-reported everyday activities and SWB, while allowing individuals to express their activities freely by allowing open-ended responses that were then analyzed with state-of-the-art (transformers-based) Natural Language Processing.

Natural language analyzed with AI-based transformers predict traditional subjective well-being measures approaching the theoretical upper limits in accuracy

We show that using a recent break-through in artificial intelligence –transformers–, psychological assessments from text-responses can approach theoretical upper limits in accuracy, converging with standard psychological rating scales..

Text: An R-package for Analyzing and Visualizing Human Language Using Natural Language Processing and Deep Learning

This tutorial introduces how to use state-of-the-art AI techniques in both custom research analyses as well as in completely end-to-end analytic processes in R.

Computational Language Measures

Measuring psych constructs with words analyzed with AI...

Semantic measures: Using natural language processing to measure, differentiate, and describe psychological constructs

We develop an approach using open-ended questions in which the responses are analyzed using natural language processing.

Agentic, communal, and spiritual traits are related to the semantic representation of written narratives of positive and negative life events

We used a computational method to quantitatively investigate the relationship between personality and written narratives of life events.