Understanding Users' Mental Models of Co-Creative AI Partners (Dissertation): February 2023 - Present
A project to explore users' mental models of co-creative AI and understand their association with user demographics and ethical stances of users to develop adaptive human-centered AI partners.
Designed an online survey-based user study using two existing co-creative AI, ChatGPT and Stable Diffusion
Analyzed the data using several statistical analyses
Designing Human-Centered Ethical AI Partners for Human-AI Co-Creation (Dissertation): April 2022 - January 2023
A project to identify the ethical issues and concerns from the user perspective and devise guidelines for designing ethical AI partners
Devised a Design Fiction (DF) as a prototype for a futuristic co-creative AI partner
Designed and led a user study to identify ethical issues and user concerns through surveys and focus groups
Analyzed the qualitative data using thematic and content analysis
Improving User-Experience in AI Partners for Human-AI Co-Creation (Dissertation): August 2019 - December 2021
A project to identify effective interaction designs to improve user engagement and collaborative experience in co-creative AI Partners
Performed both qualitative and quantitative analyses to identify trends and gaps in interaction designs of 92 existing co-creative AI
Devised the experimental design for a user study with suitable research methods.
Conducted the user study to investigate and compare the impact of two interaction designs on user experience variables
Designed two prototypes of co‑creative AI with distinct interaction designs for the user study
Performed Thematic analysis on the interview data and statistical analyses on the survey data
Presented research insights at a conference, a workshop and a seminar and achieved two awards
Broadening Women's Participation in CS Education: August 2021 ‑ December 2022
A project to understand the issues in increasing and retaining women students in CS at UNCC for devising interventions to create a gender-balanced
Designed and conducted semi-structured interviews to collect in-depth qualitative data from women students enrolled in the introductory CS courses
Used thematic analyses to identify struggles and expectations of women students and devised interventions
AI Feedback based on Emotion Detection in Users in Co-Creative AI: December 2019 - May 2020
A project that investigates the impact of AI feedback based on emotion detection in users by co-creative AI on user engagement in human-AI co-creation
Conducted case studies to identify the impact of AI feedback based on user emotions captured through their facial expressions
Summarized the key findings from the study
Computational and Cognitive Models of Creativity: May 2019 - December 2019
A project to develop computational creative models that improve creativity and to understand the impact of interaction patterns on creativity
Conducted thematic analysis on interview data after users interacted with our co-creative AI to understand user experience
Devised qualitative video coding method to analyze screen recordings of participants interacting with the systems
Used K‑means clustering and other statistical methods to analyze the coded videos to identify the impact of interaction behaviors of users on the creativity of the product
Understanding Creative Collaboration among Humans: May 2018 ‑ December 2018
A project that studied human cognition and collaboration to design effective co-creative AI
Conducted grounded theory analysis on interview data of users after a creative human-collaboration
Performed statistical analysis on quantitative data regarding human-collaboration