Titlebook: Artificial Intelligence in HCI; 4th International Co Helmut Degen,Stavroula Ntoa Conference proceedings 2023 The Editor(s) (if applicable)

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0302-9743 rnational Conference, HCI International 2023, which was held virtually in Copenhagen, Denmark in July 2023..The total of 1578 papers and 396 posters included in the HCII 2023 proceedings was carefully reviewed and selected from 7472 submissions...The first volume focuses on topics related to Human-C

BABY

Women, The Family and Unemployment,blem that has been approached through ML - sentiment analysis - through a Human-Centered Machine Learning lens. Through a case study of trying to differentiate between degrees of positive emotions in reviews of online fanfiction, we offer a set of recommendations for future designers of ML-driven sentiment analysis algorithms.

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Conference proceedings 2023Conference, HCI International 2023, which was held virtually in Copenhagen, Denmark in July 2023..The total of 1578 papers and 396 posters included in the HCII 2023 proceedings was carefully reviewed and selected from 7472 submissions...The first volume focuses on topics related to Human-Centered Ar

ALOFT

https://doi.org/10.1007/978-1-4614-0439-2uggestions. These themes encompass feedback from practicing mental health professionals suggesting a potential use case for automated deception detection in mental health, albeit considerations for confidentiality, client autonomy, data access, and therapist-client trust.

Cognizance

New Social Risks and Work-Family Balance This paper shows how emotions and behaviors could impact the quality of software systems. We propose interactive control loops that supervise application and architecture adaptations toward enhancing the system quality of service (QoS) and human quality of experience (QoE). Under the IoB conceptual

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Women, The Family and Unemployment,to further examine the feasibility of using artificial intelligence systems to enhance player engagement. In the experimental phase, we used three AI systems to drive the dynamic progress of the game and enrich the changing and challenging elements of the game content. Benefiting from the guidable a

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Women, The Family and Unemployment,e of their algorithms’ impacts, and one such way of reflection is known as human-centered machine learning. In this paper, we approach a classical problem that has been approached through ML - sentiment analysis - through a Human-Centered Machine Learning lens. Through a case study of trying to diff