JMIR Rehabilitation and Assistive Technologies

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Effects and Acceptability of a 1-Week Home-Based Virtual Reality Training for Supporting the Management of Stress and Anxiety: Randomized Pilot Trial

(c) Visual analog scale for emotions (VAS-E) [59]—the participants indicated on a scale from 0 to 100 their current experienced level of 6 primary emotions: anger, happiness, disgust, fear, sadness, and surprise. Several studies have confirmed its reliability and validity (eg, [60]). Data analyses were carried out through IBM SPSS Statistics (version 25.0 software package for Windows; SPSS Inc) software.

Federica Pallavicini, Eleonora Orena, Lisa Arnoldi, Federica Achille, Stefano Stefanini, Maddalena Cassa, Alessandro Pepe, Guido Veronese, Luca Bernardelli, Francesca Sforza, Sara Fascendini, Carlo Alberto Defanti, Marco Gemma, Massimo Clerici, Giuseppe Riva, Fabrizia Mantovani

JMIR Serious Games 2025;13:e50326

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Advancing Clinical Chatbot Validation Using AI-Powered Evaluation With a New 3-Bot Evaluation System: Instrument Validation Study

Key instructions included (1) respond as a therapist practicing nonjudgmental support, inspired by principles from acceptance and commitment therapy and mindfulness practices; (2) reduce patient stress by validating emotions, exploring coping mechanisms, and encouraging hope for change; (3) avoid clinical diagnostic language or prescribing treatments, focusing instead on promoting self-reflection and stress management strategies; and (4) engage the patient through open-ended questions and supportive dialogue

Seungheon Choo, Suyoung Yoo, Kumiko Endo, Bao Truong, Meong Hi Son

JMIR Nursing 2025;8:e63058

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Public Health Messaging on Twitter During the COVID-19 Pandemic: Observational Study

The emotions it can identify include anticipation, joy, love, optimism, anger, disgust, fear, sadness, and pessimism.

Ashwin Rao, Nazanin Sabri, Siyi Guo, Louiqa Raschid, Kristina Lerman

J Med Internet Res 2025;27:e63910

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Feature Selection for Physical Activity Prediction Using Ecological Momentary Assessments to Personalize Intervention Timing: Longitudinal Observational Study

To establish relevance, accuracy, and reliability, it would be necessary to validate passively sensed feature sets against the subjective user experience, difficult to do in the context of emotions and self-regulation that play a central part in the enactment of health behaviors such as PA [13]. Therefore, tailoring PA-fostering JITAIs based on PSCF comes with a considerable risk of misaligning intervention timing and content with users’ current states.

Devender Kumar, David Haag, Jens Blechert, Josef Niebauer, Jan David Smeddinck

JMIR Mhealth Uhealth 2025;13:e57255

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Large Language Models and Empathy: Systematic Review

Empathy, a fundamental aspect of human interaction, can be characterized as the ability to experience the emotions of another being within oneself. The origin of the word “empathy” dates back to the 1880s, when Theodore Lipps determined the word “einfuhlung” (“in-feeling”) to describe the emotional appreciation of another’s feelings [1].

Vera Sorin, Dana Brin, Yiftach Barash, Eli Konen, Alexander Charney, Girish Nadkarni, Eyal Klang

J Med Internet Res 2024;26:e52597

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Social Cohesion and COVID-19: Integrative Review

In total, 7 categories are proposed for the papers reviewed: interpersonal relationships, sameness and difference, groups’ collective action or members’ choosing to act toward the overall benefit of the group, the sum of the perceptions or emotions of group members, and the operation of structures and institutions of governance.

Paul Ware

Interact J Med Res 2024;13:e51214

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Differences in Fear and Negativity Levels Between Formal and Informal Health-Related Websites: Analysis of Sentiments and Emotions

Emotion analysis involves the identification of specific emotions expressed in a text. In accordance with Ekman’s [14] model, several basic emotions can be identified, such as happiness, sadness, anger, disgust, surprise, and fear. Different methods can be used to detect sentiment and emotions in a given text, and in recent years transformer models have become increasingly popular, especially in NLP. Transformer model is a deep neural network that learns context and meaning using self-attention [15].

Abigail Paradise Vit, Avi Magid

J Med Internet Res 2024;26:e55151

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Considering the Role of Human Empathy in AI-Driven Therapy

As Rogers articulated, comprehending the patient’s emotions (cognitive empathy) is imperative for endorsing and designing goals and interventions that confront these emotions. This process is underpinned by a commitment to assist and support the patient (motivational empathy), both of which stem from participating in the patient’s emotional journey (affective empathy).

Matan Rubin, Hadar Arnon, Jonathan D Huppert, Anat Perry

JMIR Ment Health 2024;11:e56529

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News Coverage of the COVID-19 Pandemic on Social Media and the Public’s Negative Emotions: Computational Study

Moreover, existing studies usually set aggregate emotionality (ie, the sum of all the specific emotions) as their target instead of focusing on the negative emotions, which are worth extra attention. A deeper understanding of emotional responses that might deteriorate mental health is crucial for the well-being of individuals caught in a crisis.

Hanjing Wang, Yupeng Li, Xuan Ning

J Med Internet Res 2024;26:e48491

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