A new era for stress research: supporting user performance and experience in the digital age DOI
Gerald Matthews,

Ryon Cumings,

Erika P. De Los Santos

и другие.

Ergonomics, Год журнала: 2024, Номер unknown, С. 1 - 34

Опубликована: Ноя. 8, 2024

Stress is both a driver of objective performance impairments and source negative user experience technology. This review addresses future directions for research on stress ergonomics in the digital age. The structured around three levels analysis. At individual level, elicited by novel technologies tasks including interaction with AI robots, working Virtual Reality, operating autonomous vehicles. organisational novel, potentially stressful challenges include maintaining cybersecurity, surveillance monitoring employees supported technology, addressing bias discrimination workplace. sociocultural values norms are evolving symbiotically, raising demands illustrated respect to interactions social media new ethical challenges. We also briefly promise neuroergonomics emotional design support mitigation. conclude seven high-level principles that may guide work.

Язык: Английский

Integrative modeling enables ChatGPT to achieve average level of human counselors performance in mental health Q&A DOI
Yinghui Huang, Weijun Wang, Jinyi Zhou

и другие.

Information Processing & Management, Год журнала: 2025, Номер 62(5), С. 104152 - 104152

Опубликована: Апрель 6, 2025

Язык: Английский

Процитировано

0

Screening Social Anxiety with the Social Artificial Intelligence Picture System DOI
Qianqian Ju,

Zhijian Xu,

Z C Chen

и другие.

Journal of Anxiety Disorders, Год журнала: 2024, Номер 109, С. 102955 - 102955

Опубликована: Дек. 6, 2024

Язык: Английский

Процитировано

1

A psychologically interpretable artificial intelligence framework for the screening of loneliness, depression, and anxiety DOI Creative Commons
Feng Liu, Peiwan Wang, Jingyi Hu

и другие.

Applied Psychology Health and Well-Being, Год журнала: 2024, Номер 17(1)

Опубликована: Дек. 19, 2024

Negative emotions such as loneliness, depression, and anxiety (LDA) are prevalent pose significant challenges to emotional well-being. Traditional methods of assessing LDA, reliant on questionnaires, often face limitations because participants' inability or potential bias. This study introduces emoLDAnet, an artificial intelligence (AI)-driven psychological framework that leverages video-recorded conversations detect negative through the analysis facial expressions physiological signals. We recruited 50 participants undergo questionnaires interviews, with their responses recorded video. The emoLDAnet employs a combination deep learning (e.g., VGG11) machine decision trees [DTs]) identify states. incorporates OCC-PAD-LDA transformation model, enhancing interpretability AI decisions by translating into psychologically meaningful data. Results indicate achieves high detection rates for anxiety, F1-scores exceeding 80% Kendall's correlation coefficients above 0.5, demonstrating strong agreement traditional scales. underscores importance model in improving screening accuracy impact classifiers framework's performance. has support large-scale well-being early contribute advancement mental health care.

Язык: Английский

Процитировано

1

A new era for stress research: supporting user performance and experience in the digital age DOI
Gerald Matthews,

Ryon Cumings,

Erika P. De Los Santos

и другие.

Ergonomics, Год журнала: 2024, Номер unknown, С. 1 - 34

Опубликована: Ноя. 8, 2024

Stress is both a driver of objective performance impairments and source negative user experience technology. This review addresses future directions for research on stress ergonomics in the digital age. The structured around three levels analysis. At individual level, elicited by novel technologies tasks including interaction with AI robots, working Virtual Reality, operating autonomous vehicles. organisational novel, potentially stressful challenges include maintaining cybersecurity, surveillance monitoring employees supported technology, addressing bias discrimination workplace. sociocultural values norms are evolving symbiotically, raising demands illustrated respect to interactions social media new ethical challenges. We also briefly promise neuroergonomics emotional design support mitigation. conclude seven high-level principles that may guide work.

Язык: Английский

Процитировано

0