Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation-Reference-Cited by-同舟云学术

Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation

Published:2022-04-29 Issue: Volume: Page:
ISSN:
Container-title:CHI Conference on Human Factors in Computing Systems
language:
Short-container-title:

Author:

Wang Yunlong¹,Venkatesh Priyadarshini²,Lim Brian Y³

Affiliation:

1. Institute for Health Innovation & Technology (iHealthtech), National University of Singapore, Singapore

2. Department of Brain Sciences, University College London, United Kingdom

3. Department of Computer Science, National University of Singapore, Singapore and Institute for Health Innovation & Technology (iHealthtech), National University of Singapore, Singapore

Funder

Ministry of Education - Singapore

Institute for Health Innovation and Technology, National University of Singapore

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3491102.3517551

Reference94 articles.

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3. Elena Agapie , Bonnie Chinh , Laura R Pina , Diana Oviedo , Molly C Welsh , Gary Hsieh , and Sean Munson . 2018 . Crowdsourcing Exercise Plans Aligned with Expert Guidelines and Everyday Constraints. In CHI 2018. ACM, 324. https://doi.org/10.1145/3173574.3173898 Elena Agapie, Bonnie Chinh, Laura R Pina, Diana Oviedo, Molly C Welsh, Gary Hsieh, and Sean Munson. 2018. Crowdsourcing Exercise Plans Aligned with Expert Guidelines and Everyday Constraints. In CHI 2018. ACM, 324. https://doi.org/10.1145/3173574.3173898

4. Interpreting Idea Maps: Pairwise Comparisons Reveal What Makes Ideas Novel

5. T. Amabile. 1996. Creativity In Context. https://doi.org/10.4324/9780429501234 T. Amabile. 1996. Creativity In Context. https://doi.org/10.4324/9780429501234

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