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Title:
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MULTIMODAL DIGITAL ASSISTANT FOR A SMART
FOOD PROCESSOR: A DESIGN SCIENCE APPROACH |
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Author(s):
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Amitrajit Sarkar, Nicholas Leslie, John Ascroft, Ralph Bergmann, Lilly Heindl |
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ISBN:
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978-989-8704-48-1 |
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Editors:
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Miguel Baptista Nunes, Pedro Isaías and Philip Powell |
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Year:
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2023 |
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Edition:
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Single |
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Keywords:
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Digital Assistant, Design Science Research, Design Artifact Development, Innovation, Artificial Intelligence |
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Type:
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Full Paper |
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First Page:
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197 |
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Last Page:
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204 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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This paper presents the results of a comprehensive research project on the integration of an alternative human-computer
interaction interface in home appliances, using a design science research approach. The outcome of the project is a user
interface concept and prototype with a focus on multimodal design that incorporates voice commands and manual
interaction to reduce friction and improve user experience. The paper presents the design and development of an offline
natural language processing (NLP)-based application for a food processor, which allows users to interact with the appliance
through voice-based interaction. The research and testing of offline NLP solutions is detailed, and the results of research
into alternative user interfaces for smart home appliances are presented. The findings suggest that external application
programming interface (API) solutions such as Google's should be used for conversational API services, and that natural
language understanding service implementations can be extended to provide additional functionality. The results illustrate
an alternative novel and effective approach to user interaction with smart home appliances. |
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