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Mental disorders such as depression and suicidal ideation are hazardous, affecting more than 300 million people over the world. However, on social media, mental disorder symptoms can be observed, and automated approaches are increasingly…

Information Retrieval · Computer Science 2023-01-26 Ramin Safa , S. A. Edalatpanah , Ali Sorourkhah

Bipolar disorder, an illness characterized by manic and depressive episodes, affects more than 60 million people worldwide. We present a preliminary study on bipolar disorder prediction from user-generated text on Reddit, which relies on…

Computation and Language · Computer Science 2019-03-28 Ivan Sekulić , Matej Gjurković , Jan Šnajder

Question asking is an important tool for constructing academic knowledge, and a self-reinforcing driver of curiosity. However, research has found that question asking is infrequent in the classroom and children's questions are often…

Human-Computer Interaction · Computer Science 2020-04-08 Mehdi Alaimi , Edith Law , Kevin Daniel Pantasdo , Pierre-Yves Oudeyer , Helene Sauzeon

This study explores the influence of an interdisciplinary intervention on creative problem-solving skills. Literature deems such skills as vital for software engineering (SE) students in higher education. 39 SE students and graphic design…

Software Engineering · Computer Science 2023-07-04 Arne Duyver , Wouter Groeneveld , Kris Aerts

Artificial intelligence (AI) systems capable of generating creative outputs are reshaping our understanding of creativity. This shift presents an opportunity for creativity researchers to reevaluate the key components of the creative…

Computers and Society · Computer Science 2024-12-09 Jaan Aru

The growing integration of artificial intelligence (AI) into human cognition raises a fundamental question: does AI merely improve efficiency, or does it alter how we think? This study experimentally tested whether short-term exposure to…

Chain-of-thought prompting combined with pre-trained large language models has achieved encouraging results on complex reasoning tasks. In this paper, we propose a new decoding strategy, self-consistency, to replace the naive greedy…

Computation and Language · Computer Science 2023-03-08 Xuezhi Wang , Jason Wei , Dale Schuurmans , Quoc Le , Ed Chi , Sharan Narang , Aakanksha Chowdhery , Denny Zhou

The nature of mental illness remains a conundrum. Traditional disease categories are increasingly suspected to mis-represent the causes underlying mental disturbance. Yet, psychiatrists and investigators now have an unprecedented…

Applications · Statistics 2017-05-31 Danilo Bzdok , Andreas Meyer-Lindenberg

Large Language Models (LLMs) are increasingly used for mental health support, yet little is known about how people with mental health challenges engage with them, how they evaluate their usefulness, and what design opportunities they…

Human-Computer Interaction · Computer Science 2026-02-12 Aditya Kumar Purohit , Hendrik Heuer

The prevalent use of Large Language Models (LLMs) has necessitated studying their mental models, yielding noteworthy theoretical and practical implications. Current research has demonstrated that state-of-the-art LLMs, such as ChatGPT,…

Artificial Intelligence · Computer Science 2023-08-29 Chuanyang Jin , Songyang Zhang , Tianmin Shu , Zhihan Cui

For technology (like serious games) that aims to deliver interactive learning, it is important to address relevant mental experiences such as reflective thinking during problem solving. To facilitate research in this direction, we present…

The science of consciousness has made great strides by focusing on the behavioral and neuronal correlates of experience. However, correlates are not enough if we are to understand even basic neurological fact; nor are they of much help in…

Neurons and Cognition · Quantitative Biology 2023-10-15 Giulio Tononi , Christof Koch

Extensive work has shown that the performance and interpretability of commonsense reasoning can be improved via knowledge-augmented reasoning methods, where the knowledge that underpins the reasoning process is explicitly verbalized and…

Artificial Intelligence · Computer Science 2023-10-19 Jiacheng Liu , Ramakanth Pasunuru , Hannaneh Hajishirzi , Yejin Choi , Asli Celikyilmaz

Music is a universal feature of human culture, linked to embodied cognitive functions that drive learning, action, and the emergence of creativity and individuality. Evidence highlights the critical role of statistical learning an implicit…

Neurons and Cognition · Quantitative Biology 2025-11-21 Tatsuya Daikoku

Deficit of attention, anxiety, sleep disorders are some of the problems which affect many persons. As these issues can evolve into severe conditions, more factors should be taken into consideration. The paper proposes a conception which…

Despite popular media interest in uncovering the creative habits of successful people, there is a surprising paucity of empirical research on the diversity of tendencies and preferences people have when engaged in creative work. We…

Quantitative Methods · Quantitative Biology 2021-09-06 Eric Berlow , Spencer Canon , Kaustuv DeBiswas , David Gurman , Shawna Jacoby , Lizbet Simmons , Andy Walshe , Rich Williams , Tiffany Yuan , Mark Runco

The recent growth of digital interventions for mental well-being prompts a call-to-arms to explore the delivery of personalised recommendations from a user's perspective. In a randomised placebo study with a two-way factorial design, we…

Human-Computer Interaction · Computer Science 2021-01-22 Svenja Pieritz , Mohammed Khwaja , A. Aldo Faisal , Aleksandar Matic

Large language models (LLMs) are increasingly shaping creative work and problem-solving; however, prior research suggests that they may diminish unassisted creativity. To address this tension, a coach-like LLM environment was developed that…

Human-Computer Interaction · Computer Science 2025-10-31 Alon Rosenbaum , Yigal David , Eran Kaufman , Gilad Ravid , Amit Ronen , Assaf Krebs

Large Language Models have demonstrated strong performance on many established reasoning benchmarks. However, these benchmarks primarily evaluate structured skills like quantitative problem-solving, leaving a gap in assessing flexible,…

Computation and Language · Computer Science 2025-10-30 Deepon Halder , Alan Saji , Thanmay Jayakumar , Ratish Puduppully , Anoop Kunchukuttan , Raj Dabre

Digital phenotyping offers a novel and cost-efficient approach for managing depression and anxiety. Previous studies, often limited to small-to-medium or specific populations, may lack generalizability. We conducted a cross-sectional…

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