On Building Design Guidelines for An Interactive Machine Learning Sandbox Application-Reference-Cited by-同舟云学术

On Building Design Guidelines for An Interactive Machine Learning Sandbox Application

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 5th International ACM In-Cooperation HCI and UX Conference on - CHIuXiD'19
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Author:

Nodalo Giselle¹,Santiago Jose Ma.¹,Valenzuela Jolene¹,Deja Jordan Aiko¹

Affiliation:

1. De La Salle University, Manila, Philippines

Publisher

ACM Press

Reference27 articles.

1. Saleema Amershi. 2011. Designing for effective enduser interaction with machine learning. Proceedings of the 24th Annual ACM Symposium Adjunct on User Interface Software and Technology - UIST 11 Adjunct: 47--50. http://doi.org/10.1145/2046396.2046416

2. Saleema Amershi, Dan Weld, Mihaela Vorvoreanu, et al. Guidelines for Human-AI Interaction - microsoft.com. Microsoft. Retrieved 2019 from https://www.microsoft.com/en-us/research/uploads/prod/2019/01/Guidelines-for-Human-AI-Interaction-camera-ready.pdf

3. Francisco Bernardo, Michael Zbyszyński, Rebecca Fiebrink, and Mick Grierson. 2017. Interactive Machine Learning for End-User Innovation. 2017 AAAI Spring Symposium Series.

4. Michelle Patrick Cook. 2006. Visual representations in science education: The influence of prior knowledge and cognitive load theory on instructional design principles. Science Education 90, 6: 1073--1091. http://doi.org/10.1002/sce.20164

5. Jordan Aiko Deja, Patrick Arceo, Darren Goldwin David, Patrick Lawrence Gan, and Ryan Christopher Roque. 2018. MyoSL: A Framework for Measuring Usability of Two-Arm Gestural Electromyography for Sign Language. Universal Access in Human-Computer Interaction. Methods, Technologies, and Users Lecture Notes in Computer Science: 146--159. http://doi.org/10.1007/978-3-319-92049-8_11

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