Informed Consent Generator

Obtaining informed consent ensures the users' autonomy and privacy, and that the users are aware of potential risks and benefits of your HCI study. To get an informed consent form for your participants use can use this generator. This informed consent is not suitable for vulnerable groups (children, disabled, prisoners) or when any harm can occur (medical studies). When you collect any personal information in the EU, the GDPR applies and set strict rules for processing the data and is based on consent. That consent should be freely given, specific, informed and unambiguous by way of a request presented in clear and plain language. Consent should be given by an affirmative act, such as checking a box online or signing the form. Please reach out to your superviser in case of any requests.

Your Institution*

Enter the name, street + no., ZIP no. + city, and country of your institution
Kind of research*
Informed Consent Language*
Title of your Research*
Explain the purpose (one sentence)*
Explain the goal (one sentence)*
Estimated study date range*
Estimated trial duration*
Estimated number of participants*
Study options
Procedure (in 4-8 steps)*
Click on (+) to add a procedure step and (-) to remove it.
Collected data
When do you delete the raw data?*
Will you anonymize the raw data?*
How will you make the data public?*
Principal investigator (PI)*
PI e-mail*
Research student names(s)
Separate multiple names with comma (,)
Research students e-mail(s)
Separate multiple e-mails with comma (,)
Funding project/organization
Ethical comittee/IRB
* fields required

Prof. Dr. Valentin Schwind. University of Applied Sciences Frankfurt. No liability for external links, correctness, completeness and up-todateness of any content. Site visits might result in storing of anonymized data (date, time, page viewed). Utilization at the own risk of the user. Data can be stored on the computers to facilitate the user's website access. Contribute here.

Find/cite the publication of the toolkit here:
Valentin Schwind, Stefan Resch, and Jessica Sehrt. 2023. The HCI User Studies Toolkit: Supporting Study Designing and Planning for Undergraduates and Novice Researchers in Human-Computer Interaction. In Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems (CHI EA '23), April 23-28, 2023, Hamburg, Germany. ACM, New York, NY, USA, 7 pages.