Dec 10, 2023

Problem: Existing AI tools often provide static interactions and can disseminate misinformation, leading to user frustration and distrust.

Importance: Enhancing AI tools to offer proactive interactions and real-time information validation can significantly improve user experience and trust.

Relevance: Developing an AI assistant that anticipates user needs and ensures information accuracy is vital for effective research and learning.

Users are often unsure about the capabilities of AI tools and are frustrated by their static nature. Additionally, the prevalence of misinformation on the web poses challenges to obtaining accurate information.

Team: Victor Tran and Bryan Huang

Timeline: Winter 2023

Challenges: Designing an AI assistant that offers proactive interactions, guides users with action verbs, and validates information in real-time to combat misinformation.

Problem Identification: Recognized the limitations of current AI tools in user engagement and information accuracy.

Solution Development: Designed Schola to guide users with action verbs, provide proactive interactions, and validate information in real-time.

Implementation: Developed Schola as an AI-powered research assistant within a 10-day AI + UX Design challenge.

Guided by Action Verbs: Helps users understand capabilities and offers shortcuts to optimize workflows.

Proactive Interactions: Reduces user friction by initiating prompts and enhancing the research experience.

Real-Time Validation: Filters out misinformation and provides evidence to support findings.

Rapid problem space definition is crucial for effective solution iteration.

Clear user goals and empathy are essential for successful design.

Collaboration and feedback were invaluable in developing Schola.