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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Explore and confirm the perceptions, thoughts, and feelings of consumers that operate beyond their conscious awareness on both desktop and mobile platforms. Utilizing online webcam eye tracking enables the identification of focal points of consumer attention. Additionally, online emotion assessment captures the emotional reactions of consumers as they engage with digital products. Implicit online testing reveals the underlying attitudes and beliefs that may not be readily accessible to conscious thought. Our innovative product, UXReality, serves as a comprehensive alternative to traditional usability labs by providing a virtual research experience. This tool facilitates UX research for both desktop and mobile devices remotely. Users can benefit from high-quality session recordings, providing an unprecedented view into the user's perspective. The solution integrates AI-driven webcam eye tracking, emotion analytics, and feedback surveys, ensuring a thorough understanding of user experience. This approach not only enhances the research quality but also streamlines the usability testing process significantly.

Description

For obtaining precise and dependable information regarding facial expressions, FaceReader stands out as a highly effective automated system that can assist you significantly. It provides clear insights into how various stimuli influence emotions. The software is user-friendly, allowing you to save both time and resources efficiently. Additionally, it facilitates seamless integration with eye-tracking and physiological data. Numerous researchers have adopted automated facial expression analysis software to deliver a more objective evaluation of emotions. FaceReader is characterized by its speed, flexibility, objectivity, accuracy, and ease of use, enabling immediate analysis of data from live feeds, videos, or still images, thereby conserving precious time. Furthermore, it offers the capability to record audio alongside video, allowing researchers to capture the spoken interactions of individuals, such as during human-computer engagements or while observing different stimuli. As the premier automated system for identifying a range of specific traits in facial images, FaceReader effectively recognizes the six fundamental or universal expressions, making it an essential tool in emotion research. This broad functionality ensures that researchers can derive comprehensive insights into emotional responses with minimal effort.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

CoolTool

Founded

2011

Country

United States

Website

cooltool.com

Vendor Details

Company Name

Noldus

Country

Netherlands

Website

www.noldus.com/facereader

Product Features

Emotion Recognition

Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions

Market Research

Benchmarking
Compensation Management
Data Management
Email / Online
Face-to-Face
Panel Management
Paper-Based
Phone-Based
Sample Management
Statistical Analysis
Survey Management

Survey

Custom Survey URLs
Data Analysis Tools
Email Marketing
Mobile Survey
Offline Response Collection
Paper Survey
Question Branching
Question Library
Site Intercept Survey
Skip Logic
Supports Audio / Images / Video

Product Features

Emotion Recognition

Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions

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