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In this work, we compare different neural topic modeling methods in learning the topical propensities of different psychiatric conditions from the psychotherapy session transcripts parsed from speech recordings. We also incorporate temporal…

计算与语言 · 计算机科学 2022-11-04 Baihan Lin , Djallel Bouneffouf , Guillermo Cecchi , Ravi Tejwani

Randomized controlled trials (RCT) are the gold standards for evaluating the efficacy and safety of therapeutic interventions in human subjects. In addition to the pre-specified endpoints, trial participants' experience reveals the time…

人机交互 · 计算机科学 2024-01-31 Zuotian Li , Xiang Liu , Zelei Cheng , Yingjie Chen , Wanzhu Tu , Jing Su

This paper explores the integration of generative AI into the field of art therapy. Leveraging proven text-to-image models, we introduce a novel technical design to complement art therapy. The resulting AI-based tools shall enable patients…

人工智能 · 计算机科学 2024-12-05 Yannis Valentin Schmutz , Tetiana Kravchenko , Souhir Ben Souissi , Mascha Kurpicz-Briki

In healthcare, AI techniques are widely used for tasks like risk assessment and anomaly detection. Despite AI's potential as a valuable assistant, its role in complex medical data analysis often oversimplifies human-AI collaboration…

人机交互 · 计算机科学 2024-07-23 Yang Ouyang , Chenyang Zhang , He Wang , Tianle Ma , Chang Jiang , Yuheng Yan , Zuoqin Yan , Xiaojuan Ma , Chuhan Shi , Quan Li

Therapeutic art activities, such as expressive drawing and painting, require the synergy between creative visual production and interactive dialogue. Recent advancements in Multimodal Large Language Models (MLLMs) have expanded the capacity…

人机交互 · 计算机科学 2026-05-12 Le Lin , Zihao Zhu , Rainbow Tin Hung Ho , Jing Liao , Yuhan Luo

Hallucinations can be produced by conversational AI systems, particularly in multi-turn conversations where context changes and contradictions may eventually surface. By representing the entire conversation as a temporal graph, we present a…

计算与语言 · 计算机科学 2026-01-07 Vidhi Rathore , Sambu Aneesh , Himanshu Singh

This paper presents a real-time generative drawing system that interprets and integrates both formal intent - the structural, compositional, and stylistic attributes of a sketch - and contextual intent - the semantic and thematic meaning…

计算机视觉与模式识别 · 计算机科学 2025-08-28 Jookyung Song , Mookyoung Kang , Nojun Kwak

Therapeutic homework (i.e., tasks assigned by therapists for clients to complete between sessions) is essential for effective psychotherapy, yet therapists often interpret fragmented client logs, assessments, and reflections within limited…

人机交互 · 计算机科学 2026-01-27 Yimeng Wang , Liabette Escamilla , Yinzhou Wang , Bianca R. Augustine , Yixuan Zhang

Healthcare simulations help learners develop teamwork and clinical skills in a risk-free setting, promoting reflection on real-world practices through structured debriefs. However, despite video's potential, it is hard to use, leaving a gap…

There is a growing recognition that artists use valuable ways to understand and work with cognitive and perceptual mechanisms to convey desired experiences and narrative in their created artworks (DiPaola et al., 2010; Zeki, 2001). This…

人工智能 · 计算机科学 2020-09-14 Ozge Nilay Yalcin , Nouf Abukhodair , Steve DiPaola

Art therapy homework is essential for fostering clients' reflection on daily experiences between sessions. However, current practices present challenges: clients often lack guidance for completing tasks that combine art-making and verbal…

人机交互 · 计算机科学 2025-02-21 Di Liu , Jingwen Bai , Zhuoyi Zhang , Yilin Zhang , Zhenhao Zhang , Jian Zhao , Pengcheng An

Designing a visualization is often a process of iterative refinement where the designer improves a chart over time by adding features, improving encodings, and fixing mistakes. However, effective design requires external critique and…

人机交互 · 计算机科学 2023-03-14 Sungbok Shin , Sanghyun Hong , Niklas Elmqvist

The integration of generative AI in visual art has revolutionized not only how visual content is created but also how AI interacts with and reflects the underlying domain knowledge. This survey explores the emerging realm of diffusion-based…

人工智能 · 计算机科学 2024-08-23 Bingyuan Wang , Qifeng Chen , Zeyu Wang

Despite the popularisation of machine learning models, more often than not, they still operate as black boxes with no insight into what is happening inside the model. There exist a few methods that allow to visualise and explain why a model…

机器学习 · 计算机科学 2021-06-18 Błażej Leporowski , Alexandros Iosifidis

Understanding how the predictions of deep learning models are formed during the training process is crucial to improve model performance and fix model defects, especially when we need to investigate nontrivial training strategies such as…

机器学习 · 计算机科学 2022-01-05 Xianglin Yang , Yun Lin , Ruofan Liu , Zhenfeng He , Chao Wang , Jin Song Dong , Hong Mei

Effective data visualization requires not only technical proficiency but also a deep understanding of the domain-specific context in which data exists. This context often includes tacit knowledge about data provenance, quality, and intended…

人机交互 · 计算机科学 2025-11-03 Sungbok Shin , Hyeon Jeon , Sanghyun Hong , Niklas Elmqvist

This study presents a theory-inspired visual narrative generative system that integrates conceptual principles-comic authoring idioms-with generative and language models to enhance the comic creation process. Our system combines human…

人工智能 · 计算机科学 2024-09-27 Yi-Chun Chen , Arnav Jhala

Clinical psychology students frequently report feeling underprepared for the interpersonal demands of therapeutic work, highlighting the need for accessible opportunities to practise core counselling skills before seeing real clients.…

人机交互 · 计算机科学 2026-01-21 V. El Sawah , A. Bhardwaj , A. Pryke-Hobbes , D. Gamaleldin , C. S. Ang , A. K. Martin

Many processes, from gene interaction in biology to computer networks to social media, can be modeled more precisely as temporal hypergraphs than by regular graphs. This is because hypergraphs generalize graphs by extending edges to connect…

人机交互 · 计算机科学 2021-05-12 Maximilian T. Fischer , Devanshu Arya , Dirk Streeb , Daniel Seebacher , Daniel A. Keim , Marcel Worring

Surgical team performance arises from complex interactions between technical execution and non-technical skills, including communication and coordination dynamics. However, current surgical AI systems predominantly model visual workflow…

人工智能 · 计算机科学 2026-05-07 Vincenzo Marco De Luca , Antonio Longa , Giovanna Varni , Andrea Passerini
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