The Potential and Implications of Generative AI on HCI Education
Project Overview
The document explores the integration of Generative AI (GAI) within a Human-Computer Interaction (HCI) undergraduate module, emphasizing its dual role as a resource generation tool and a reflective mechanism for students to deepen their understanding of design concepts. It reports on a survey conducted with participating students, uncovering a range of insights into the advantages and challenges associated with GAI in educational settings. Key findings indicate that GAI can significantly enhance creativity and engagement among students, facilitating innovative design processes. However, the study also highlights concerns regarding the potential for over-reliance on AI tools, underscoring the necessity for students to grasp the limitations of AI technologies. Overall, the document presents a nuanced view of GAI's impact on education, advocating for a balanced approach that leverages its benefits while fostering critical thinking about its use in design and learning environments.
Key Applications
Generative AI tools for persona and scenario generation
Context: Undergraduate HCI module for computing science students
Implementation: Students engage with GAI tools to generate personas, scenarios, and functional requirements through practical sessions and coursework.
Outcomes: Enhanced understanding of design concepts, increased engagement, and the ability to reflect on design processes.
Challenges: Students may over-rely on GAI for evaluating their work and may lack awareness of GAI's limitations.
Implementation Barriers
Perception barrier
Students may attribute more analytical capabilities to GAI than it possesses, leading to over-reliance on its feedback.
Proposed Solutions: Educators need to explicitly teach the limitations of GAI models and encourage critical thinking about AI-generated outputs.
Project Team
Ahmed Kharrufa
Researcher
Ian G Johnson
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Ahmed Kharrufa, Ian G Johnson
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai