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Review

A Review of Recent Deep Learning Approaches in Human-Centered Machine Learning

Augmented Human Lab, Auckland Bioengineering Institue, The University of Auckland, 70 Symonds Street, Grafton, Auckland 1010, New Zealand
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Academic Editor: Biswanath Samanta
Sensors 2021, 21(7), 2514; https://doi.org/10.3390/s21072514
Received: 11 February 2021 / Revised: 14 March 2021 / Accepted: 30 March 2021 / Published: 3 April 2021
(This article belongs to the Section Intelligent Sensors)
After Deep Learning (DL) regained popularity recently, the Artificial Intelligence (AI) or Machine Learning (ML) field is undergoing rapid growth concerning research and real-world application development. Deep Learning has generated complexities in algorithms, and researchers and users have raised concerns regarding the usability and adoptability of Deep Learning systems. These concerns, coupled with the increasing human-AI interactions, have created the emerging field that is Human-Centered Machine Learning (HCML). We present this review paper as an overview and analysis of existing work in HCML related to DL. Firstly, we collaborated with field domain experts to develop a working definition for HCML. Secondly, through a systematic literature review, we analyze and classify 162 publications that fall within HCML. Our classification is based on aspects including contribution type, application area, and focused human categories. Finally, we analyze the topology of the HCML landscape by identifying research gaps, highlighting conflicting interpretations, addressing current challenges, and presenting future HCML research opportunities. View Full-Text
Keywords: human-centered machine learning; HCML; HCAI; human-centered artificial intelligence; Deep Learning human-centered machine learning; HCML; HCAI; human-centered artificial intelligence; Deep Learning
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MDPI and ACS Style

Kaluarachchi, T.; Reis, A.; Nanayakkara, S. A Review of Recent Deep Learning Approaches in Human-Centered Machine Learning. Sensors 2021, 21, 2514. https://doi.org/10.3390/s21072514

AMA Style

Kaluarachchi T, Reis A, Nanayakkara S. A Review of Recent Deep Learning Approaches in Human-Centered Machine Learning. Sensors. 2021; 21(7):2514. https://doi.org/10.3390/s21072514

Chicago/Turabian Style

Kaluarachchi, Tharindu, Andrew Reis, and Suranga Nanayakkara. 2021. "A Review of Recent Deep Learning Approaches in Human-Centered Machine Learning" Sensors 21, no. 7: 2514. https://doi.org/10.3390/s21072514

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