Human Centered Affective Computing Models for Positive Emotional Health

Agung Dharmawan Buchdadi; Sri Wahyuningsih; Yessy Oktavyanti; Ester Ananda Natalia; Henry Zainarthur

Authors

Agung Dharmawan Buchdadi State University of Jakarta https://orcid.org/0000-0001-7390-9758
Sri Wahyuningsih Universitas Mitra Bangsa https://orcid.org/0009-0002-5784-3730
Yessy Oktavyanti University of Raharja
Ester Ananda Natalia Sundara Group https://orcid.org/0009-0002-3425-1169
Henry Zainarthur Eduaward Incorporation https://orcid.org/0009-0001-7510-9321

Keywords:

Affective Computing, Emotional Wellbeing, Adaptive Interfaces, Stress Reduction, Machine Learning

Abstract

The increasing prevalence of stress, anxiety, and emotional imbalance in digital society highlights the importance of designing computational systems that not only process information but also support psychological resilience, forming the background of this study. With this in mind, the objective of the research is to explore and develop affective and positive computing algorithms and interfaces capable of fostering emotional wellbeing through adaptive interaction strategies. To achieve this, the method combines literature review, algorithmic design, and prototype evaluation using affective data such as facial expression, voice tone, and physiological signals, which are analyzed through machine learning models and integrated into interactive interface prototypes. The results indicate that the proposed algorithms successfully recognize emotional states with higher accuracy than baseline models, while the interfaces provide feedback and adaptive interventions that enhance users’ sense of calmness, engagement, and positive affect during interaction sessions. Moreover, experimental validation suggests that the system can dynamically adjust its responses to individual emotional patterns, leading to more personalized and effective support for wellbeing. In conclusion, this research demonstrates that affective and positive computing can be meaningfully integrated into algorithmic frameworks and interface design to promote emotional health, offering not only theoretical contributions to the field of human-computer interaction but also practical implications for digital mental health tools that encourage resilience and positive experiences in everyday life.

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