The animal whisperer project
dc.contributor.author | Bendel, Oliver | |
dc.contributor.author | Zbinden, Nick | |
dc.date.accessioned | 2025-05-14T10:06:15Z | |
dc.date.issued | 2024 | |
dc.description.abstract | Generative AI has become widespread since 2022. Technical advancements have resulted in multimodal large language models and other AI models that generate, analyze, and evaluate texts, images, and sounds. Such capabilities can be helpful in encounters between humans and animals. For example, apps with generative AI on a smartphone can be used to assess the body language and behavior of animals – e.g., during a walk or hike – and provide a recommendation for human behavior. It is often useful to take into account the animal’s environment and situation. The apps can help people to avert approaches and attacks, and thus also protect animals. In “The Animal Whisperer Project”, three apps were developed as prototypes based on the multimodal large language model GPT-4 from OpenAI from the beginning to mid-2024. Three specific GPTs resulted: the Cow Whisperer, the Horse Whisperer, and the Dog Whisperer. All three showed impressive capabilities after the first prompt engineering. These were improved by implementing information from expert interviews and adding labeled images of animals and other materials. AI-based apps for interpreting body language, behavior, and the overall situation can apparently be created today, without much effort, in a low-budget project. However, turning them into products would certainly raise questions, such as liability in the event of accidents. | |
dc.description.uri | https://www.aciconf.org/aci2024 | |
dc.event | Eleventh International Conference on Animal-Computer Interaction | |
dc.event.end | 2024-12-05 | |
dc.event.start | 2024-12-02 | |
dc.identifier.doi | https://doi.org/10.1145/3702336.3702347 | |
dc.identifier.isbn | 979-8-4007-1175-6 | |
dc.identifier.uri | https://irf.fhnw.ch/handle/11654/51255 | |
dc.identifier.uri | https://doi.org/10.26041/fhnw-12545 | |
dc.language.iso | en | |
dc.publisher | ACM | |
dc.relation.ispartof | ACI '24: Proceedings of the International Conference on Animal-Computer Interaction | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.spatial | Glasgow | |
dc.subject.ddc | 330 - Wirtschaft | |
dc.title | The animal whisperer project | |
dc.type | 04B - Beitrag Konferenzschrift | |
dspace.entity.type | Publication | |
fhnw.InventedHere | Yes | |
fhnw.ReviewType | Anonymous ex ante peer review of a complete publication | |
fhnw.affiliation.hochschule | Hochschule für Wirtschaft FHNW | de_CH |
fhnw.affiliation.institut | Institut für Wirtschaftsinformatik | de_CH |
fhnw.openAccessCategory | Gold | |
fhnw.publicationState | Published | |
relation.isAuthorOfPublication | 47ab0867-6bcc-4476-9891-def80a6fcc9b | |
relation.isAuthorOfPublication | 43b8ec9b-aa6c-41af-8d00-8baaee063ef8 | |
relation.isAuthorOfPublication.latestForDiscovery | 47ab0867-6bcc-4476-9891-def80a6fcc9b |
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