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Exploring the Definition of Small Data Collected with HCI Methods and Used for ML

  • In this position paper, we explore the characteristics of small data sets within the domain of Human-Computer Interaction (HCI), where Machine Learning (ML) techniques are applied. We investigate the definition of small data sets in HCI experiments, the challenges and opportunities associated with using ML with small data, and the potential applications of small data in various contexts. Drawing on a systematic literature review and AI chatbot queries, we provide insights about small HCI data sets used for ML.

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Metadaten
Author:Maria RauschenbergerORCiD, Anna C. Weigand
DOI:https://doi.org/10.18420/muc2023-mci-ws16-399
Parent Title (English):Mensch und Computer 2023 - Workshopband; MCI-WS16 - UCAI 2023: Workshop on User-Centered Artificial Intelligence. Rapperswil. 3.-6. September 2023
Document Type:Conference Proceeding
Language:English
Year of Completion:2023
Release Date:2025/03/12
Tag:human- centered design; human-computer interaction; machine learning; small data
Pagenumber:3
Institute:Fachbereich Technik
Research Focus Area:Industrielle Informatik