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How do visual explanations foster end users' appropriate tr..:

, In: Proceedings of the 25th International Conference on Intelligent User Interfaces,

Yang, Fumeng ; Huang, Zhuanyi ; Scholtz, Jean. - p. 189-201 , 2020

Link: https://dl.acm.org/doi/10.1145/3377325.3377480

RT 
T1 <cTitle>Proceedings of the 25th International Conference on Intelligent User Interfaces</cTitle>: T1 <Title>How do visual explanations foster end users' appropriate trust in machine learning?</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3377480&Exemplar=1&LAN=DE
				
A1 Yang, Fumeng
A1 Huang, Zhuanyi
A1 Scholtz, Jean
A1 Arendt, Dustin L.
PB ACM
YR 2020
K1 classification
K1 explainable artificial intelligence
K1 human-machine collaboration
K1 information visualization
K1 supervised-learning
K1 trust
K1 trust calibration
K1 Human-centered computing
K1 Human computer interaction (HCI)
K1 Empirical studies in HCI
K1 Visualization
K1 Visualization application domains
K1 Information visualization
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Supervised learning
K1 Supervised learning by classification
K1 Visualization design and evaluation methods
K1 Empirical studies in visualization
SP 189
OP 201
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3377325.3377480
DO https://dl.acm.org/doi/10.1145/3377325.3377480
SF ELIB - SuUB Bremen

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