I am an HCI (Human-Computer Interaction) Researcher. I like to understand how people think, design interfaces to improve their experiences, and evaluate those experiences.
My background is in novice and end-user programming, starting with young blocks-based programmers, and more recently, adult programmers learning APIs.
I am currently part of the AI experience team at IBM research, focused on how people interact with intelligent systems.
Interests: novice/end-user programming, designing systems for cognitively complex tasks, blocks-based programming environments (like Scratch, App Inventor, Looking Glass, and Alice), example code use, recommending help to programmers, API learning, computer science education, and crowdsourcing.
Papers:
2020
**Best Paper** Gao Gao, Finn Voichick, Michelle Ichinco, and Caitlin Kelleher. Exploring Programmers' API Learning Processes: Collecting Web Resources as External Memory. 2020 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), Dunedin, New Zealand, 2020, pp. 1-10.
2019
Michelle Ichinco and Caitlin Kelleher. Open-Ended Novice Programming Behaviors and their Implications for Supporting Learning . 2019 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), pp 45-53.
Caitlin Kelleher and Michelle Ichinco. Towards a Model of API Learning . 2019 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), pp 163 - 168.
2018
Michelle Ichinco and Caitlin Kelleher. Semi-automatic suggestion generation for young novice programmers in an open-ended context . Proceedings of the 17th ACM Conference on Interaction Design and Children
pp 405-412.
2017
Michelle Ichinco, Wint Hnin, and Caitlin Kelleher. Suggesting API Usage to Novice Programmers with the Example Guru Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pp 1105-1117.
Michelle Ichinco and Caitlin Kelleher. Towards Better Code Snippets: Exploring How Code Snippet Recall Differs with Programming Experience IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), pp 37-41.
**Best Paper** Wint Hnin, Michelle Ichinco, and Caitlin Kelleher. An Exploratory Study of the Usage of Different Educational Resources in the Wild. IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), pp 181-189.
Michelle Ichinco, Kyle Harms, and Caitlin Kelleher. Towards Understanding Successful Novice Example Use in Blocks-Based Programming Journal of Visual Languages and Sentient Systems, pp 101-118.
2015
Michelle Ichinco and Caitlin Kelleher. Exploring novice programmer example use.2015 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), pp. 63-71.
2013
Michelle Ichinco and Caitlin Kelleher. Towards generalizing expert programmers' suggestions for novice programmers. Visual Languages and Human-Centric Computing (VL/HCC), 2013 IEEE Symposium on, pp. 143-150.