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Usability and Discoverability in Contextual rich text editors

Survey Introduction

Usability and Discoverability in Contextual Rich Text Editors

This short 10–15-minute survey supports a master’s thesis at the Technical University of Chemnitz.
The goal of this survey is to measure the usability of various text editors.

The study aims to understand how easily users can find and use editing functions and to identify potential challenges or areas for improvement in interface design.

Key Definitions

To ensure a shared understanding, the following terms are used in this survey:

  • Rich Text Editor: A software tool that allows users to format text (e.g., bold, italic, lists, and links) within an interface.
  • Contextual Features: Functions or tools that appear based on the user’s current action, selection, or context.
  • Usability: The extent to which a system is easy to use, efficient, and satisfying for users when completing tasks.
  • Discoverability: How easily users can find and become aware of available features or functions without prior instruction.
  • User Interface: The visual elements of a system, e.g., buttons, menus, icons

Who Can Participate

This survey is intended for individuals who regularly use digital text editors in their daily, academic, or professional activities. 

This includes:

  • Professional developers

  • Students with development experience

  • Engineers working with software systems

Participation

Participation in this survey is voluntary.

  • The survey takes approximately 10–15 minutes to complete.

  • You may stop the survey at any time by closing your browser.

  • There are 16 questions in total.

Data Protection Information

This survey is part of a research project on “Usability of different grades of contextual rich text editor interfaces” conducted at the Technical University of Chemnitz, Professorship of Software Engineering.

The legal basis for processing data is your voluntary consent according to Article 6(1)(a) of the EU General Data Protection Regulation (GDPR).

Data Collected

This survey collects only:

  • Respond to your experience with text editors to complete the tasks. 

No personally identifiable information (such as name or address) will be collected.

Use of Data

Your responses will be used exclusively for scientific research purposes.

The collected data will:

  • be analyzed as part of an academic master’s thesis

  • potentially contribute to scientific publications

Anonymity

This survey is anonymous.

  • The record of your responses does not contain identifying information, unless you explicitly provide such information in a response.

  • If you accessed the survey using an access code, the code is stored separately from survey responses and cannot be linked to your answers.

Data Storage

The collected data will be:

  • securely stored

  • accessed only by the researchers involved in this project

  • deleted in accordance with academic research guidelines

Contact

If you have questions about the study or data protection, please contact:

Muhammad Younas Khan
Master’s Student
Technical University of Chemnitz
Email: muhammad-younas.khan@s2021.tu-chemnitz.de

 

 

 

There are 16 questions in this survey.
This survey is anonymous.

The record of your survey responses does not contain any identifying information about you, unless a specific survey question explicitly asked for it.

If you used an identifying access code to access this survey, please rest assured that this code will not be stored together with your responses. It is managed in a separate database and will only be updated to indicate whether you did (or did not) complete this survey. There is no way of matching identification access codes with survey responses.

 
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