What is it about?
Conversational agents can improve the lives of elderly and chronically ill individuals by providing services like medication reminders and social interaction. We suggest a new approach that combines knowledge graphs and voice interfaces to make news articles more accessible, especially for those with limited technology skills or health issues. The system uses semantically structured news data and voice-based dialogues to help care-dependent people intuitively discover relevant news articles and receive personalized recommendations.
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Why is it important?
This study addresses the challenges faced by elderly and care-dependent individuals when accessing news articles. Our examination of current commercial voice assistants highlights that existing solutions offer only a very rudimentary news search functionality, which neglects the unique needs of this user group. Aiming to address the specific informational requirements more effectively, we propose a novel architectural framework for a voice-based conversational agent based on an automatically constructed news knowledge graph.
Perspectives
Investigating how conversational agents and knowledge graphs can improve news access for elderly and care-dependent individuals is more than a technological advance; it signifies a move toward inclusivity. It is crucial to ensure that the benefits of technological progress reach every demographic, especially those facing age or health-related impairments. Our initial user evaluation has shown promising results in this direction.
Phillip Schneider
Technische Universitat Munchen
Read the Original
This page is a summary of: Voice-Based Conversational Agents and Knowledge Graphs for Improving News Search in Assisted Living, July 2023, ACM (Association for Computing Machinery),
DOI: 10.1145/3594806.3596534.
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