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Sverker Sikström

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Professor, Cognitive Psychology, Chair of the cognitive division

Lund University

Sweden

Research Interests

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Dr. Sverker Sikström is an Associate Professor at Lund University in Sweden. His research areas include artificial intelligence applications in cognitive behavioral therapy, natural language processing for emotional assessment, and the study of gender discrimination within family courts. He has recently published articles exploring the effectiveness of AI-driven analyses in mental health outcomes and the quantification of emotional states through innovative computational language approaches.

Recent Grants

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Tools for improving cognitive performance in attentive children

Open Date: 2013-01-01

Close Date:

Articles (27)

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Collaborators (8)

Daiva Daukantaite

SWEDEN

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Kevin Cloninger

Full Teaching Professor

University of Missouri Columbia

UNITED STATES

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David Sjöström

Lund University

SWEDEN

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Pamela Wisniewski

Associate Professor

Vanderbilt University

UNITED STATES

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Natalia Lipp

Heidelberg University

GERMANY

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Emma Claesdotter-Knutsson

Lund University

SWEDEN

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Annika Fredén

Associate Senior Lecturer, Associate Professor

Lund University

SWEDEN

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Maria Riveiro

Assistant Professor

Jönköping University

SWEDEN

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Sverker Sikström

Research Interests

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About

Recent Grants

Articles (27)

Selection Bias in Psychedelic Research: Comparing Self-Reported Quality-Of-Life Impact Between Enthusiasts and a General Population Sample

AI-driven analyzes of open-ended responses to assess outcomes of internet-based cognitive behavioral therapy (ICBT) in adolescents with anxiety and depression comorbidity

Question-based computational language approach outperform ratings scale in discriminating between anxiety and depression

Personality in just a few words: Assessment using natural language processing

The rise of artificial intelligence for cognitive behavioral therapy

Perceptual discrepancies in the experience and reporting of violence against children are more pronounced among social workers compared to laypeople

Speaking or Writing: Do Response Times Influence Anthropomorphism Differently for ADHD and Neurotypical Users in a Mental Health Chatbot?

Generative AI-assisted clinical interviewing of mental health

Gender discrimination in Swedish family courts: A quantitative vignette study

Language or rating scales based classifications of emotions

Question-based computational language approach outperforms rating scales in quantifying emotional states

Validity and Reliability of Persian Version of Cyber-Bullying /Victimization Experience Questionnaire (CBVEQ) Among Iranian Adolescents

The ABC of happiness: Validation of the tridimensional model of subjective well-being (affect, cognition, and behavior) using Bifactor Polytomous Multidimensional Item Response Theory

The semantic structure of accuracy in eyewitness testimony

Use of 4 Open-Ended Text Responses to Help Identify People at Risk of Gaming Disorder: Preregistered Development and Usability Study Using Natural Language Processing

How bad is bad? Perceptual differences in the communication of severity in intimate partner violence

Research Paper Effectiveness of Group Training Based on Choice Theory on Internalizing Problems, Empathy, and Identity Transformations Among Male Adolescents

Women Are Perceived to Have More Power Than Men in Domains That Are Viewed As Important in U.S. Tweets

Removing Biases in Communication of Severity Assessments of Intimate Partner Violence: Model Development and Evaluation

Precise language responses versus easy rating scales—Comparing respondents’ views with clinicians’ belief of the respondent’s views

Language and gender

Psychometric properties of persian version of escapism scale among Iranian adolescents

Assessment of depression and anxiety in young and old with a question-based computational language approach

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

Voters’ view of leaders during the Covid‐19 crisis: Quantitative analysis of keyword descriptions provides strength and direction of evaluations

What you say and what I hear—Investigating differences in the perception of the severity of psychological and physical violence in intimate partner relationships

Computational Language Assessments of Harmony in Life - Not Satisfaction With Life or Rating Scales - Correlate With Cooperative Behaviors

Collaborators (8)

Daiva Daukantaite

Kevin Cloninger

David Sjöström

Pamela Wisniewski

Natalia Lipp

Emma Claesdotter-Knutsson

Annika Fredén

Maria Riveiro

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