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AI Chatbot for Research

Designed keyword refinement feature for an AI-powered literature search tool during the summer internship at Transformative Learning Technologies Lab.

Type

Web design

AI search design

Time

12 weeks

(2023 Summer)

Team

Yolanda | UX designer team A

Peiying | UX designer, team A

 Dora | UX designer, team B

 Sabrina | UX designer, team B

Yipu Zheng | lead & engineer

Skills

Design sprint

AI interaction design

Visual guide

UI kit

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“I don't even know the keywords to find the papers I need!”

Success Metrics

1. Measure the reduction in the time it takes for researchers to find relevant papers compared to traditional methods

2. Collect feedback from users to gauge their satisfaction on a scale of 5 with the tool's effectiveness

Design Goal

Guide novices in using AI to make finding research papers easier and faster

My Responsibilities

🖌️ Need-finding through research and competitors' audit
🏠 Build visual guide and UI kit following Material Design
🤖️ Design interactions with AI chatbot

Background

In March 2023, a paper from Transformative Learning Technologies Lab (pioneered in AI-powered learning tools design)—“Outside-in, Inside-out, or Outside-out? Exploring the Flow of New Ideas and the Development of CSCL and ICLS via Co-Authorship Networks from 1995 to 2020” conducted keyword analysis and social network analysis of all the papers in Learning Science from 1995 to 2020. 

There are altogether 5,091 papers, and 8,225 authors. 

Thus was born a huge database and we want to design something from it.

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Overview
Problem Statement
Final Design
ROUND #1 SELECT

Here are the keywords you can definitely use!

    Use academic terms over self-created ones for precision.

  • Instant Feedback: Clicking on the keywords refreshes the results on the right automatically without second clicking

  • Categorized Keywords: keywords are grouped by categories, content, methodology, interdisciplinary, etc. 

  • Selection Recap: users can find what keywords they have selected and been extracted to generate the results

ROUND #2 REGENERATE

Don't worry;

you can try again.

It is normal that a one-time search is not enough.​

  • Regenerate Button: click the "Regenerate" button to let AILit refresh itself and do the search again

  • Search History: you can find first-round keywords in the history by clicking on the pagination

ROUND #3 EDIT KEYWORDS

Still unwanted results? Edit them on your own!

     AILit allows manual editing to happen more seamlessly.

  • Edit and Save: users can manually replace selected keywords with other edited keywords

  • Sync and Search: the newly edited keywords are synced on the reminder on the chatbot automatically

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