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

dc.contributor.author	Weigand, Anna C.
dc.contributor.author	Rauschenberger, Maria
dc.date.accessioned	2023-08-24T06:24:30Z
dc.date.available	2023-08-24T06:24:30Z
dc.date.issued	2023
dc.description.abstract	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.	de
dc.identifier.doi	10.18420/muc2023-mci-ws16-399
dc.identifier.uri	https://dl.gi.de/handle/20.500.12116/42148
dc.publisher	GI
dc.relation.ispartof	Mensch und Computer 2023 - Workshopband
dc.relation.ispartofseries	Mensch und Computer
dc.title	Exploring the Definition of Small Data Collected with HCI Methods and Used for ML	de
dc.type	Text/Workshop Paper
gi.conference.date	3.-6. September 2023
gi.conference.location	Rapperswil
gi.conference.sessiontitle	MCI-WS16 - UCAI 2023: Workshop on User-Centered Artificial Intelligence

Dateien

1 - 1 von 1