Jennifer Wang

Senior User Research Lead

出版物

表示方法:

- Media Bias Detector: Designing and Implementing a Tool for Real-Time Selection and Framing Bias Analysis in News Coverage
  
  Jennifer Wang, Samar Haider, Amir Tohidi, Anushkaa Gupta, Yuxuan Zhang, Christopher Callison-Burch, David Rothschild, Duncan J Watts
  
  CHI 2025 | May 2025
  
  Publication
- Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience
  
  Q. Vera Liao, Hariharan Subramonyam, Jennifer Wang, Jennifer Wortman Vaughan
  
  2023 ACM CHI Conference on Human Factors in Computing Systems (CHI 2023) | April 2023
  
  PDF プロジェクト
- Surfacing AI Explainability in Enterprise Product Visual Design to Address User Tech Proficiency Differences
  
  Sara Tandon, Jennifer Wang
  
  CHI 2023 | April 2023
  
  Publication
- How Do Users Interact with AI Features in the Workplace? Understanding the AI Feature User Journey in Enterprise
  
  Sarah Hanses, Jennifer Wang
  
  CHI 2022 | April 2022
  
  CHI Best Case Study Award
  
  Publication
- AI Trust Score: A User-Centered Approach to Building, Designing, and Measuring the Success of Intelligent Workplace Features
  
  Jennifer Wang, Angela Moulden
  
  CHI ’21 | May 2021
  
  PDF

- Media Bias Detector: Designing and Implementing a Tool for Real-Time Selection and Framing Bias Analysis in News Coverage
  
  Jennifer Wang, Samar Haider, Amir Tohidi, Anushkaa Gupta, Yuxuan Zhang, Christopher Callison-Burch, David Rothschild, Duncan J Watts
  
  CHI 2025 | May 2025
  
  Publication
- Surfacing AI Explainability in Enterprise Product Visual Design to Address User Tech Proficiency Differences
  
  Sara Tandon, Jennifer Wang
  
  CHI 2023 | April 2023
  
  Publication
- Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience
  
  Q. Vera Liao, Hariharan Subramonyam, Jennifer Wang, Jennifer Wortman Vaughan
  
  2023 ACM CHI Conference on Human Factors in Computing Systems (CHI 2023) | April 2023
  
  PDF プロジェクト
- How Do Users Interact with AI Features in the Workplace? Understanding the AI Feature User Journey in Enterprise
  
  Sarah Hanses, Jennifer Wang
  
  CHI 2022 | April 2022
  
  CHI Best Case Study Award
  
  Publication
- AI Trust Score: A User-Centered Approach to Building, Designing, and Measuring the Success of Intelligent Workplace Features
  
  Jennifer Wang, Angela Moulden
  
  CHI ’21 | May 2021
  
  PDF
- Media Bias Detector: Designing and Implementing a Tool for Real-Time Selection and Framing Bias Analysis in News Coverage
  
  Jennifer Wang, Samar Haider, Amir Tohidi, Anushkaa Gupta, Yuxuan Zhang, Christopher Callison-Burch, David Rothschild, Duncan J Watts
  
  CHI 2025 | May 2025
  
  Publication
- Surfacing AI Explainability in Enterprise Product Visual Design to Address User Tech Proficiency Differences
  
  Sara Tandon, Jennifer Wang
  
  CHI 2023 | April 2023
  
  Publication
- Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience
  
  Q. Vera Liao, Hariharan Subramonyam, Jennifer Wang, Jennifer Wortman Vaughan
  
  2023 ACM CHI Conference on Human Factors in Computing Systems (CHI 2023) | April 2023
  
  PDF プロジェクト
- How Do Users Interact with AI Features in the Workplace? Understanding the AI Feature User Journey in Enterprise
  
  Sarah Hanses, Jennifer Wang
  
  CHI 2022 | April 2022
  
  CHI Best Case Study Award
  
  Publication
- AI Trust Score: A User-Centered Approach to Building, Designing, and Measuring the Success of Intelligent Workplace Features
  
  Jennifer Wang, Angela Moulden
  
  CHI ’21 | May 2021
  
  PDF

- Media Bias Detector: Designing and Implementing a Tool for Real-Time Selection and Framing Bias Analysis in News Coverage
  
  Jennifer Wang, Samar Haider, Amir Tohidi, Anushkaa Gupta, Yuxuan Zhang, Christopher Callison-Burch, David Rothschild, Duncan J Watts
  
  CHI 2025 | May 2025
  
  Publication
- Surfacing AI Explainability in Enterprise Product Visual Design to Address User Tech Proficiency Differences
  
  Sara Tandon, Jennifer Wang
  
  CHI 2023 | April 2023
  
  Publication
- Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience
  
  Q. Vera Liao, Hariharan Subramonyam, Jennifer Wang, Jennifer Wortman Vaughan
  
  2023 ACM CHI Conference on Human Factors in Computing Systems (CHI 2023) | April 2023
  
  PDF プロジェクト
- How Do Users Interact with AI Features in the Workplace? Understanding the AI Feature User Journey in Enterprise
  
  Sarah Hanses, Jennifer Wang
  
  CHI 2022 | April 2022
  
  CHI Best Case Study Award
  
  Publication
- AI Trust Score: A User-Centered Approach to Building, Designing, and Measuring the Success of Intelligent Workplace Features
  
  Jennifer Wang, Angela Moulden
  
  CHI ’21 | May 2021
  
  PDF

Jennifer Wang

出版物

Media Bias Detector: Designing and Implementing a Tool for Real-Time Selection and Framing Bias Analysis in News Coverage

Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience

Surfacing AI Explainability in Enterprise Product Visual Design to Address User Tech Proficiency Differences

How Do Users Interact with AI Features in the Workplace? Understanding the AI Feature User Journey in Enterprise

AI Trust Score: A User-Centered Approach to Building, Designing, and Measuring the Success of Intelligent Workplace Features

Media Bias Detector: Designing and Implementing a Tool for Real-Time Selection and Framing Bias Analysis in News Coverage

Surfacing AI Explainability in Enterprise Product Visual Design to Address User Tech Proficiency Differences

Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience

How Do Users Interact with AI Features in the Workplace? Understanding the AI Feature User Journey in Enterprise

AI Trust Score: A User-Centered Approach to Building, Designing, and Measuring the Success of Intelligent Workplace Features

Media Bias Detector: Designing and Implementing a Tool for Real-Time Selection and Framing Bias Analysis in News Coverage

Surfacing AI Explainability in Enterprise Product Visual Design to Address User Tech Proficiency Differences

Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience

How Do Users Interact with AI Features in the Workplace? Understanding the AI Feature User Journey in Enterprise

AI Trust Score: A User-Centered Approach to Building, Designing, and Measuring the Success of Intelligent Workplace Features

Media Bias Detector: Designing and Implementing a Tool for Real-Time Selection and Framing Bias Analysis in News Coverage

Surfacing AI Explainability in Enterprise Product Visual Design to Address User Tech Proficiency Differences

Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience

How Do Users Interact with AI Features in the Workplace? Understanding the AI Feature User Journey in Enterprise

AI Trust Score: A User-Centered Approach to Building, Designing, and Measuring the Success of Intelligent Workplace Features