I’m a researcher in Psychology interested in measuring psychological constructs with words and text responses analyzed with AI. In particular I’m interested in how this method can be used in clinical settings to assessment mental health problems such as depression and anxiety. I’m also interested in researching well-being, harmony in life and sustainable living. I’m currently funded for an international postdoc at the Computer Science Department at Stony Brook University and the University of Copenhagen.
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PhD in Psychology, 2018
MSc in Applied Positive Psychology, 2010
University of East London
BSc in Psychology, 2008
University of Westminster
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.
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..
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.
The SWLS-3 and the HILS-3 can efficiently be used together with one shared instruction, without compromising (and in most aspects even yielding small improvements) the psychometric soundness of the scales.
This study strengthens the evidence that a sad mood and poor sleep relate to mind wandering.
We discuss the implications concerning the differences between maladaptive daydreaming and mind wandering and the possibility of targeting sleep for mind wandering interventions.
We show that combined mood induction procedures can be used in online research to study happy and sad mood.
The study provides preliminary evidence for the MBFP’s cross-cultural validity, and strengthens previous claims for its efficacy as a new, accessible alternative for enhancing wellbeing.
In two studies we investigate the psychometric properties of the Spontaneous and Deliberate Mind Wandering Scales.
We develop an approach using open-ended questions in which the responses are analyzed using natural language processing.
We developed the Harmony in Life Scale (HILS) emphasizing psychological balance and flexibility in life.
We suggest that the use of computerized methods to quantify and analyze text can be an important tool to move the affective profiles model into the era of big text data
We used a computational method to quantitatively investigate the relationship between personality and written narratives of life events.
We explore how affective profiles systematically relate to psychological well-being and harmony in life.
We explore the influences of discrete positive and negative emotions on cooperation in the context of a social dilemma game.
Certain personality traits, such as Extraversion, Openness, and Conscientiousness, relate differently to well-being measures across cultures. Meanwhile, Neuroticism seems to relate similarly across cultures at least with regard to subjective well-being.