PARTNERING WITH THE INTELLIGENCE COMMUNITY TO ENHANCE AI INTERFACE DESIGN EDUCATION
Year: 2024
Editor: Grierson, Hilary; Bohemia, Erik; Buck, Lyndon
Author: Oh, David
Series: E&PDE
Institution: North Carolina State University, United States of America
Page(s): 139 - 144
DOI number: 10.35199/EPDE.2024.24
ISBN: 978-1-912254-200
ISSN: 3005-4753
Abstract
Artificial intelligence (AI) is increasingly expanding its capabilities and presence in fields because today's industry demands working with big data to extract meaningful user insights to align its goal with success. The government sector, specifically the intelligence community (IC), is not an exception to this need. The challenge for data analysts in the sector is finding relevancy within such a large dataset through searching, sorting, and contextualizing, which requires categorizing and summarizing results at the end. The efficiency of built-in AI to organize and generate a natural language for a human user became an essential topic for investigating a learning process for User Experience (UX) design students in college when integrating AI models within interface designs. The study partnered with the IC partners and set up a conceptual enterprise dashboard project to answer the following research question: How might UX design students improve their learning experience when speculating an integration of the AI model within an application to search, triage, and contextualize data for the IC analysts with a lack of user data? Instead of emphasizing the conceptual design solution, the study focused on improving the student's educational experience of navigating ambiguity built into the AI project to enhance the human experience of interacting with the system. Eleven students were assigned into three groups of three to four working on different personas and had access to the same proxy datasets from the sponsors. The students delivered the nine-week project with design artifacts like value propositions, market research, questionnaires, personas, scenarios, mappings, flow charts, wireframes, UI components, prototypes, user testing, and UX documentation with guidance from a graduate assistant and a principal investigator. During each phase of the Design Thinking (DT) process, the students discussed the difficulties of navigating through AI conceptual solutions because of the user data gaps in the brief due to the confidentiality required in the Intelligence Community and the nature of the innovation. The study utilized the DT and Design Inquiry of Learning (DIL) framework to identify role-playing and storytelling activities to enhance student's learning experience by mitigating frustrations exhibited in speculating AI dashboard interface design.
Keywords: UX Design Education, Generative AI, Dashboard, Intelligence Community