%0 Conference Paper %1 Ooge_2022 %A Ooge, Jeroen %A Verbert, Katrien %B 27th International Conference on Intelligent User Interfaces %D 2022 %I ACM %K explanation iui2022 visualization %P 120-123 %R 10.1145/3490100.3516481 %T Explaining Artificial Intelligence with Tailored Interactive Visualisations %U https://doi.org/10.1145%2F3490100.3516481 %X Artificial intelligence (AI) is becoming ubiquitous in the lives of both researchers and non-researchers, but AI models often lack transparency. To make well-informed and trustworthy decisions based on these models, people require explanations that indicate how to interpret the model outcomes. This paper presents our ongoing research in explainable AI, which investigates how visual analytics interfaces and visual explanations, tailored to the target audience and application domain, can make AI models more transparent and allow interactive steering based on domain expertise. First, we present our research questions and methods, contextualised by related work at the intersection of AI, human-computer interaction, and information visualisation. Then, we discuss our work so far in healthcare, agriculture, and education. Finally, we share our research ideas for additional studies in these domains.

@inproceedings{Ooge_2022, abstract = {Artificial intelligence (AI) is becoming ubiquitous in the lives of both researchers and non-researchers, but AI models often lack transparency. To make well-informed and trustworthy decisions based on these models, people require explanations that indicate how to interpret the model outcomes. This paper presents our ongoing research in explainable AI, which investigates how visual analytics interfaces and visual explanations, tailored to the target audience and application domain, can make AI models more transparent and allow interactive steering based on domain expertise. First, we present our research questions and methods, contextualised by related work at the intersection of AI, human-computer interaction, and information visualisation. Then, we discuss our work so far in healthcare, agriculture, and education. Finally, we share our research ideas for additional studies in these domains. }, added-at = {2023-06-04T04:41:35.000+0200}, author = {Ooge, Jeroen and Verbert, Katrien}, biburl = {https://www.bibsonomy.org/bibtex/2717686b7dece0b18f32b212f8908df33/brusilovsky}, booktitle = {27th International Conference on Intelligent User Interfaces}, description = {Explaining Artificial Intelligence with Tailored Interactive Visualisations | 27th International Conference on Intelligent User Interfaces}, doi = {10.1145/3490100.3516481}, interhash = {6984aaf115e9c9703bb86ecf689175e7}, intrahash = {717686b7dece0b18f32b212f8908df33}, keywords = {explanation iui2022 visualization}, month = mar, pages = {120-123}, publisher = {{ACM}}, timestamp = {2023-06-05T00:21:27.000+0200}, title = {Explaining Artificial Intelligence with Tailored Interactive Visualisations}, url = {https://doi.org/10.1145%2F3490100.3516481}, year = 2022 }