The proceedings contain 12 papers. The topics discussed include: how novelists use generative language models: an exploratory user study;literary style transfer with content preservation;dynamic natural language user ...
The proceedings contain 12 papers. The topics discussed include: how novelists use generative language models: an exploratory user study;literary style transfer with content preservation;dynamic natural language userinterfaces using microservices;how does your Alexa behave?: evaluating voice applications by design guidelines using an automatic voice crawler;assessing language learners’ free productive vocabulary with hidden-task-oriented dialogue systems;a virtual customer assistant for the wealth management domain in the UWMP project;and a snooze-less user-aware notification system for proactive conversational agents.
The proceedings contain 10 papers. The topics discussed include: TF-IDF vs word embeddings for morbidity identification in clinical notes: an initial study;a NLG framework for user tailoring and profiling in healthcar...
The proceedings contain 10 papers. The topics discussed include: TF-IDF vs word embeddings for morbidity identification in clinical notes: an initial study;a NLG framework for user tailoring and profiling in healthcare;deep attention-based model for helpfulness prediction of healthcare online reviews;toward a brain-controlled prosthetic arm through advanced machine learning methods;predictive models of indoor carbon dioxide concentration to prevent daily decay of productivity and well-being in shared offices;video action recognition and prediction architecture for a robotic coach;scene understanding and interaction anticipation from first person vision;face analysis and body language understanding from egocentric cameras;and towards a generalized framework for behavior insight mining.
The proceedings contain 10 papers. The topics discussed include: TF-IDF vs word embeddings for morbidity identification in clinical notes: an initial study;a NLG framework for user tailoring and profiling in healthcar...
The proceedings contain 10 papers. The topics discussed include: TF-IDF vs word embeddings for morbidity identification in clinical notes: an initial study;a NLG framework for user tailoring and profiling in healthcare;deep attention-based model for helpfulness prediction of healthcare online reviews;toward a brain-controlled prosthetic arm through advanced machine learning methods;predictive models of indoor carbon dioxide concentration to prevent daily decay of productivity and well-being in shared offices;video action recognition and prediction architecture for a robotic coach;scene understanding and interaction anticipation from first person vision;face analysis and body language understanding from egocentric cameras;towards a generalized framework for behavior insight mining;and exploring end-user acceptance and exploitation routes of industrial use cases related to AI and HMI.
The Healthiui workshop explores the integration of intelligentuserinterfaces in health and care, focusing on AI-driven solutions that enhance user engagement, support clinical decision-making, and improve health inf...
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Advances in generative AI and the widespread proliferation of LLM-based applications have created a number of opportunities for designing effective and intelligent human-AI interfaces. Conversational userinterfaces (...
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Proactive conversational agents (CAs) are often underutilized in e-Commerce due to misalignment with user expectations and integration challenges. In this demo, we present a hybrid e-Commerce interface that combines a...
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The explainability of artificial intelligence is crucial for trust and usability in safety-critical areas such as elderly care, where misinterpretation of AI recommendations and decisions can have serious consequences...
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As artificial intelligence (AI) systems increasingly mediate high-stakes decisions in domains such as healthcare, finance, and education, ensuring transparency and ethical accountability in AI interfaces is critical. ...
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