Experience

• Shogun, Senior Lead UX Researcher, December 2021 - Present
•                     Lead UX Researcher, December 2020 - December 2021
•                     UX Researcher, July 2020 - December 2020
• Scaled the UX research team from 1 (myself) to 4 in under two years at an ecommerce drag & drop page builder SaaS company. Researched and crafted personas widely used across the organization. Guided the creation of new features from problem discovery to launch through various generative and evaluative research methods. Established a research culture focused on transparency, collaboration, storytelling, and the creation of actionable insights.

• Adobe, Research Scientist Intern, January - April 2020
• Embedded in an Adobe research lab creating experimental interfaces for media editing using the latest machine learning technologies. Assisting in designing and executing user studies for formative analysis and evaluation of prototypes. Directed and developed new prototypes to explore open research questions and to create design guidelines for future products.

• Fandom, UX Research Intern, June 2018 – June 2019
• Conducted internal stakeholder interviews to identify research questions and assumptions of user needs for multiple digital platforms. Designed and executed a diary study, impression tests, and usability tests to gather insights for future products. Conducted field studies visiting users’ homes. Presented research reports to multiple stakeholders and conducted several workshops to distribute actionable findings to cross-disciplinary teams.

• PXL Lab, Research Assistant, September 2017 – July 2020
• Lead UX researcher and developer working with diverse teams of designers, developers, community leaders, and psychologists. Research focuses on assisting everyday users understanding complex topics such as cognitive behavioral therapy, machine learning bias, and neural networks.

• Happy Cog, Developer, April 2013 – December 2016
• Front-end developer for companies like Yale, Harvard, Ben & Jerry’s, David’s Bridal, NYIT, INET, and Lagunitas. Assisted in usability testing sessions focusing on mobile experiences. Participated in kick-off meetings, pitch presentations, and brainstorming sessions.

Publications

C. M. Myers, D. Grethlein, Furqan Anushay, and J. Zhu, "Modeling Behavior Patterns with an Unfamiliar Voice User Interface," (forthcoming) in Proceedings of the 27th Conference on User Modeling, Adaptation and Personalization (UMAP '19), 2019

C. M. Myers, A. Furqan, and J. Zhu, "The Impact of User Characteristics and Preferences on Performance with an Unfamiliar Voice User Interface," (forthcoming) in Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19) (23.8% Acceptance Rate)

J. Xie, C. M. Myers, and J. Zhu, "Interactive Visualizer to Facilitate Game Designers in Understanding Machine Learning" in Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI’19 EA), Glasgow, UK, 2019, forthcoming. (42.2% Acceptance Rate)

C. M. Myers, "Adaptive Suggestions to Increase Learnability for Voice User Interfaces," (forthcoming) in Proceedings of the 2019 Conference on Human Information Interaction & Retrieval (IUI ’19 Student Consortium)

C. M. Myers, A. Furqan, J. Nebolsky, K. Caro, and J. Zhu, "Patterns for How Users Overcome Obstacles in Voice User Interfaces," in Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018, p. 6:1--6:7. (25.7% Acceptance Rate)

C. M. Myers, A. Furqan, and J. Zhu, "Adaptable Utterances in Voice User Interfaces to Increase Learnability," in 6th Workshop on Interacting with Smart Objects (SmartObjects), 2018, no. 2082, pp. 44–49.

A. Furqan, C. M. Myers, and J. Zhu, "Learnability through Adaptive Discovery Tools in Voice User Interfaces," Proc. 2017 CHI Conf. Ext. Abstr. Hum. Factors Comput. Syst. - CHI EA ’17, pp. 1617–1623, 2017. (38.5% Acceptance Rate)

J. Zhu, J. Connell, C. M. Kerns, N. Lyon, N. Vecere, D. Lim, C. M. Myers, "Toward Interactive Social Stories for Children with Autism," in Proceedings of the 2014 ACM SIGCHI Annual Symposium on Computer- Human Interaction in Play (CHI PLAY), 2014, pp. 453-454.

Books

Myers, Chelsea. Responsive Web Design Patterns, Birmingham, UK: Packt Limited, November 2015. Print

Teaching

• Instructor, Drexel University
• UX Research & Design: Winter 2016
• UX Research & Design II: Spring 2016
• Experimental Interactive Exhibits: Summer 2017
• Content Management Systems: Summer 2017
• Web Authoring I: Fall 2014, Summer 2015, Fall 2015

• Adjunct Professor, Moore College of Art and Design
• UX & Web Design: Spring 2017 & 2018
• Web Development: Fall 2017 & 2018