Hammal, Zakia; Walter, Steffen; Berthouze, Nadia Bianchi; (2025) The Fifth Edition of the Automated Assessment of Pain (AAP 2025). In: Proceedings of the 27th ACM International Conference on Multimodal Interaction. ACM: Canberra, Australia. (In press).

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Abstract

Pain communication varies significantly among individuals, some are highly expressive, while others demonstrate stoic restraint and offer minimal verbal indication of discomfort. Substantial progress has been made in identifying behavioral indicators of pain. A growing body of literature highlights measurable indices of pain through facial expressions, vocalizations, body movements, as well as physiological and neural responses. To enhance the reliability of pain monitoring, automated pain assessment has emerged as a promising approach. Although available datasets remain limited, they are steadily increasing, helping to drive research forward. Despite notable progress, this field is still in its early stages. The 5 th edition of the AAP workshop continues to seek to highlight current research and foster interdisciplinary collaboration and discussion to accelerate progress in this important area.

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