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What is Tobii Pro Sticky?

Sticky, developed by Tobii Pro, is a groundbreaking self-service online platform that integrates survey questions with webcam-based eye tracking and emotion analysis, making it easier to conduct intricate quantitative research. This streamlined method offers a time-efficient and cost-effective way to incorporate eye tracking into studies, allowing researchers to examine large consumer panels as they engage with specific shelves, packaging, advertisements, or websites directly from their devices. In contrast to traditional face-to-face research techniques, Sticky provides extensive quantitative eye tracking and emotion analytics at a considerably lower expense. By leveraging the participant's webcam, market researchers gain valuable visual and emotional insights about the effectiveness and attractiveness of various designs, especially in packaging and advertising contexts. The platform also connects effortlessly with online survey tools and global panel providers, ensuring a smooth data collection process that yields quick results. With its innovative features, researchers can easily achieve a deep understanding of consumer behavior and preferences, leading to more informed decision-making. Additionally, this technology empowers businesses to adapt their marketing strategies based on real-time feedback from consumers.

What is FaceReader?

FaceReader is an exceptional automated system that provides precise and reliable information about facial expressions, significantly aiding in the analysis of emotional responses. It offers valuable insights into how various stimuli affect emotions, making it a powerful tool in research. The software is designed to be user-friendly, which helps users conserve both time and resources efficiently. Moreover, it allows for seamless integration with eye-tracking and physiological data, enhancing the depth of analysis. Many researchers have turned to automated facial expression analysis software to achieve a more objective understanding of emotions. Notably, FaceReader is defined by its speed, flexibility, objectivity, accuracy, and user-friendliness, enabling prompt analysis of data sourced from live feeds, videos, or still images, which is crucial for time-sensitive research. Additionally, it includes the functionality to record audio in conjunction with video, enabling researchers to capture the spoken interactions of individuals during human-computer interactions or when they are exposed to different stimuli. As a leading automated system for identifying specific traits in facial images, FaceReader adeptly recognizes the six basic or universal expressions, solidifying its status as an indispensable resource in the field of emotion research. This extensive functionality not only streamlines the research process but also empowers researchers to extract thorough insights into emotional reactions with minimal effort. Furthermore, FaceReader’s adaptability allows it to cater to various research contexts, making it an invaluable asset for diverse studies in psychology and related fields.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

Tobii Pro

Date Founded

2001

Company Location

Sweden

Company Website

www.tobiipro.com/product-listing/sticky-by-tobii-pro/

Company Facts

Organization Name

Noldus

Company Location

Netherlands

Company Website

www.noldus.com/facereader

Categories and Features

Emotion Recognition

Not specified

Eye Tracking

Not specified

User Research

Not specified

Categories and Features

Emotion Recognition

Not specified

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