Modeling and mobile home monitoring of behavioral and psychological symptoms of dementia (BPSD).

With the increasing global aging population, dementia care has rapidly become a major social problem. Current diagnosis of Behavior and Psychological Symptoms of Dementia (BPSD) relies on clinical interviews, and behavioral rating scales based on a period of behavior observation, but these methods are not suitable for identification of occurrence of BPSD in the daily living, which is necessary for providing appropriate interventions for dementia, though, has been studied by few research groups in the literature. To address these issues, in this study developed a BPSD monitoring system consisting of a Psycho-Cognitive (PsyCo) BPSD model, a Behavior-Physio-Environment (BePhyEn) BPSD model, and an implementation platform. The PsyCo BPSD model provides BPSD assessment support to caregivers and care providers, while the BePhyEn BPSD model provides instantaneous alerts for BPSD enabled by a 24-hour home monitoring platform for early intervention, and thereby alleviation of burden to patients and caregivers. Data for acquiring the models were generated through extensive literature review and regularity determined. A mobile robot was utilized as the implementation platform for improving sensitivity of sensors for home monitoring, and elderly individual following algorithms were investigated. Experiments in a virtual home environment showed that, a virtual BPSD elderly individual can be followed safely by the robot, and BPSD occurrence could be identified accurately, demonstrating the possibility of modeling and identification of BPSD in home environment.

Smartphone addiction, gender and interpersonal attachment: A cross-sectional analytical survey in Taiwan.

Overview: Smartphone use has dramatically increased worldwide, contributing to a profound change in interpersonal interactions. They have become the primary medium of human interaction, and smartphone addiction, consequently, has become a modern-day reality. Recent research on smartphone addiction has provided diverse explanations regarding the correlation between gender and addiction. Therefore, this study aims to analyse the correlation and variance among smartphone addiction, gender and interpersonal attachment. Methods: The participants included Taiwanese citizens and the questionnaires were randomly distributed; 1190 valid questionnaires (534 males, 656 females) were collected. Descriptive statistics were computed to observe the average value and standard deviation between interpersonal attachment and gender. Next, Spearman's ρ was conducted to interpret the correlation among smartphone addiction, gender and interpersonal attachment. Finally, the participants were divided into three groups based on their pre-determined level of smartphone addiction: high, moderate and low addictions. The Analysis of variance (ANOVA) was performed based on interpersonal attachment as the independent variable to determine any statistically significant difference among the three levels. Results: There are four patterns of interpersonal attachment: secure, avoidant, dismissing and anxious attachments. The correlation analysis revealed a significant positive correlation between interpersonal attachment and smartphone addiction (p > 0.000), while revealing no relationship between gender and smartphone addiction or gender and interpersonal attachment. Additionally, the ANOVA indicated the difference was statistically significant in the groups of high and moderate addictions; no statistical significance was identified in the group of low addiction (p < 0.204). Conclusion: This study revealed that there was no correlation between gender and smartphone addiction, but rather, a positive correlation between smartphone addiction and interpersonal attachment. This positive correlation suggests both high and moderate addiction groups display insecurity in their interpersonal attachment. Therefore, to lower the prevalence of unhealthy smartphone addiction, maintaining healthy interpersonal relationships is suggested.

A Bibliometric Analysis to Identify Research Trends in Intervention Programs for Smartphone Addiction.

Smartphone addiction is a serious social problem that necessitates research. To identify trends in intervention programs for smartphone addiction, distribution of research topics, and inter-relationships in academic research. We analyzed 104 studies published between 30 June 2022, and 31 August 2022, on the Web of Science (WoS). We applied the bibliometric method and identified the relationship and development trends of academic research in the field using descriptive analysis, the Latent Dirichlet Allocation (LDA), co-citation analysis, bibliographic coupling, and co-occurrence. There were four findings: First, intervention programs are classified into 10 types: psychological, social support, lifestyle, technological, family, medical care, educational, exercise, mindfulness, and meditation. Second, the volume of research on intervention programs increased every year. Third, China and South Korea had the highest research involvement. Finally, academic studies were split into either the human behavior or social science categories. Most of them defined the symptoms in terms of individual behavior and social relations, implying that smartphone addiction is not yet recognized as a disorder. Smartphone addiction has not yet been internationally recognized as a disorder, despite its impact on human physiology, psychology, and social behavior. Most related studies have been conducted in Asia, specifically in China and South Korea; Spain has the most outside Asia. Additionally, most of the research subjects were students, probably because of the convenience of sampling. As smartphones gain popularity among older adults, future studies could focus on smartphone addiction among individuals of varied ages.

Research on Alleviating Children's Nighttime Fear Using a Digital Game.

Nighttime fear is common among children and may negatively affect their growth. Given the positive role of digital games in regulating children's emotions, in this study, we proposed principles for the design of a digital game to alleviate children's nighttime fears and developed a game prototype based on a survey of children and their parents. In order to verify whether digital games can reduce children's fears, the Koala Fear Questionnaire (KFQ) was used to assess the effectiveness of the game prototype in an experiment. We adopted a quasi-experimental design with non-randomized samples, including 47 subjects in the experimental group (EG) and 49 subjects in the control group (CG). The results of the analysis show that the children in the EG displayed an obvious decrease in their fear of the objects that appeared in the game. Moreover, for some children with a moderate level of fear, playing digital games could significantly reduce their fear. Therefore, this preliminary study suggests that digital games have a positive effect on alleviating children's nighttime fears.

Design of Occupational Therapy Interventions for Middle-Aged and Elderly Family Caregivers.

This study aimed to develop an interactive app for occupational therapy interventions for middle-aged and elderly family caregivers by integrating life review and narrative therapy. The results indicated that the interventions improved the mood of individuals, but the improvement in the quality of life was less significant due to the multiple facets of life. The interface design of the interactive app had good operating characteristics and was above average in terms of learnability and usability. Overall, the intervention program positively improved participants' psychological aspect, which was in line with the purpose of the life review. Thus, a focus group put forward specific suggestions on the contextual construction of life review, the intelligent development of guiding questions, scenario simulation, and the introduction of creative collaboration functions, which could be used as a reference for subsequent content adjustment and interface design.