The ACI2022 conference continued on the afternoon of December 7, 2022. „Paper Session 2: Recognising Animals & Animal Behaviour“ began with a presentation by Anna Zamansky (University of Haifa). The title was „How Can Technology Support Dog Shelters in Behavioral Assessment: an Exploratory Study“. Her next talk was also about dogs: „Do AI Models ‚Like‘ Black Dogs? Towards Exploring Perceptions of Dogs with Vision-Language Models“. She went into detail about OpenAI’s CLIP model, among other things. CLIP is a neural network which learns visual concepts from natural language supervision. She raised the question: „How can we use CLIP to investigate adoptability?“ Hugo Jair Escalante (INAOE) then gave a presentation on the topic „Dog emotion recognition from images in the wild: DEBIw dataset and first results“. Emotion recognition using face recognition is still in its infancy with respect to animals, but impressive progress is already being made. The last presentation in the afternoon before the coffee break was „Detecting Canine Mastication: A Wearable Approach“ by Charles Ramey (Georgia Institute of Technology). He raised the question: „Can automatic chewing detection measure how detection canines are coping with stress?“. More information on the conference via www.aciconf.org.

Fig.: A black dog