Technologically assisted methods have been extensively utilized in positive psychology interventions (PPIs), which aim to elevate the happiness levels of widespread and diverse general public, a population that traditional methodologies struggle comprehend impact. Nevertheless, literature provides insufficient insights into effectiveness chatbot-based PPIs (Chat-PPIs). This study endeavors fill this void by employing both retrieval-based generative pre-trained transformer (GPT)-based...

Smartphone photoplethysmography (PPG) offers a cost-effective and accessible method for continuous blood pressure (BP) monitoring, but faces persistent challenges with accuracy interpretability. This study addresses these limitations through series of strategies. Data quality was enhanced to improve the performance traditional statistical models, while SHapley Additive exPlanations (SHAP) analysis ensured transparency in machine learning models. Waveform features were analyzed establish...

Background: Heart rate variability (HRV) provides essential mental health information for clinical diagnosis, telemedicine, preventive medicine, and public health; however, the lack of a convenient detection method limits its potential. Objective: This study aims to investigate feasibility credibility smartphone photoplethysmogram (PPG)-based HRV analysis well-being assessment. Methods: Data were collected from 93 students university employees in Shenzhen, China. Forty-six percent male,...

Multimodal emotion recognition techniques are increasingly essential for assessing mental states. Image-based methods, however, tend to focus predominantly on overt visual cues and often overlook subtler state changes. Psychophysiological research has demonstrated that heart rate (HR) skin temperature effective in detecting autonomic nervous system (ANS) activities, thereby revealing these subtle However, traditional HR tools generally more costly less portable, while analysis usually...

Heart rate variability (HRV) provides essential health information such as the risks of heart attacks and mental disorders. However, inconvenience related to accurate detection HRV limits its potential applications. The ubiquitous use smartphones makes them an excellent choice for regular portable monitoring. Following this trend, smartphone photoplethysmography (PPG) has recently garnered prominence; however, lack robustness prevented both researchers practitioners from embracing...

Routine blood pressure (BP) monitoring, crucial for health assessment, faces challenges such as limited access to medical-grade equipment and expertise. Portable cuff BP devices, on the other hand, are cumbersome carry all day often cost-prohibitive in less developed countries. Besides, these sphygmomanometer-based devices can cause discomfort disrupt flow during measurement. This study explores use of smartphones continuous focusing overcoming trust barriers associated with opacity machine...

Multimodal emotion recognition techniques are increasingly essential for assessing mental states. Image-based methods, however, tend to focus predominantly on overt visual cues and often overlook subtler state changes. Psychophysiological research has demonstrated that HR skin temperature effective in detecting ANS activities, thereby revealing these subtle However, traditional tools generally more costly less portable, while analysis usually necessitates extensive manual processing....

Positive psychology (PP) is in its third wave, evolving towards an interdisciplinary study of wellbeing. This article proposes computational positive (CPP) as emerging field that integrates PP with science and technology to advance the understanding wellbeing develop evidence-based strategies promote sustainable flourishing. The key features CPP include addressing novel research questions have received limited investigation existing literature, collecting large-scale multimodal data,...

Altruism is an innate aspect of human virtue and represents a capability that humans have evolutionarily developed as social beings. Studies identified moral emotions, such compassion elevation, the mechanisms behind altruistic motivation behavior. While research on emotions has drawn much attention, difficulty in measuring these subtle limited both real-world applications. Advances multimodal emotion recognition technology (MMER) shed light challenges. This study aims to bridge gap...

<title>Abstract</title> Utilizing mobile phone cameras for continuous blood pressure (BP) monitoring presents a cost-effective and accessible approach, yet it is challenged by limitations in accuracy interpretability. This study introduces four innovative strategies to enhance smartphone-based photoplethysmography BP estimation (SPW-BP), addressing the interpretability-accuracy dilemma. First, we employ often-neglected data-quality improvement techniques, such as height normalization,...

Heart rate variability (HRV) provides essential mental health information for clinical diagnosis, telemedicine, preventive medicine, and public health. However, the lack of a convenient detection method limits its potential. This study aimed to investigate feasibility credibility using smartphone Photoplethysmogram (PPG)-based HRV analysis personality prediction. Ninety-five records were collected from students university employees in Shenzhen, China. An app recorded five-minute films their...

Abstract: Positive psychological intervention (PPI) is an effective way to increase happiness and make life worth living. To PPIs publicly available accessible, researchers have turned information technology provide low-cost automatic human-computer interaction solutions. Although several studies confirmed the effectiveness of chatbot-based PPIs, understanding its mechanisms still limited. Therefore, this study aimed investigate how adaptiveness interaction, two important chatbot features,...

The large-scale lockdowns that occurred during the coronavirus pandemic have caused a severe public mental health crisis. Consequently, fast and effective method for assessing state of is essential. As artificial intelligence technology advances, smartphone-based multimodal emotion recognition can provide potential solutions to this problem. Fifty-five participants who lived in lockdown areas participated study. We extracted facial expressions, acoustic features, text information from...

Depression is a common, serious, and potentially lethal mental disorder. Using chatbot to assist people with learning skills build psychological resilience against adverse life events promising research direction, which however, has received little attention in literature. The purpose of this study verify the effectiveness usability chatbot-based cognitive behavioral therapy (CBT). One-hundred seven participants were recruited on social media randomly divided into group (n=52) control...