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Human-AI-Collaboration

Informed Consent of Participation

You are invited to participate in the online study Trust And Acceptance Of AI Systems Within Human–AI Collaboration In The Workplace: The Influence Of Perceived AI Characteristics And Work Knowledge Intensity initiated and conducted by Leyna Dall. The research is supervised by Prof. Dr. Gergana Vladova. Please note:

  • Your participation is entirely voluntary and can be withdrawn at any time
  • The online study will last approximately 5 minutes
  • We will record personal demographics (age, gender, etc.)
  • All records and data will be subject to standard data use policies
  • Repeated participation in the study is not permitted

*In this survey, AI systems refer to software that uses artificial intelligence to support or automate work tasks, such as chatbots (e.g., ChatGPT), decision-support systems, recommendation systems, or automated data analysis tools.

There are 18 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.

Privacy policy

The alternative to participation in this study is to choose not to participate. If you have any questions or complaints about the whole informed consent process of this research study or your rights as a human research subject, please contact Prof. Dr. Gergana Vladova (E-Mail: gergana.vladova@hu-berlin.de)You should carefully read the information below. Please take the time you need to read the consent form.

1. Purpose and Goal of this Research

The purpose of this study is to examine how perceived characteristics of AI systems and the knowledge intensity of work tasks influence trust and acceptance of AI in human–AI collaboration contexts. The goal of this research is to identify which AI-related characteristics and task-related knowledge intensity factors affect users’ trust in and acceptance of AI systems in workplace settings. Your participation will help us achieve this goal. The results of this research may be presented at scientific or professional meetings or published in scientific proceedings and journals.

2. Participation and Compensation

Your participation in this online study is completely voluntary. You will be one of approximately 100 people being surveyed for this research. You will receive no compensation for your participation. You may withdraw and discontinue participation at any time without penalty. If you decline to participate or withdraw from the online study, no one on the campus will be told. You can still demand a certificate of participation.

3. Procedure

After confirming the informed consent the procedure is as follows:

1. Participants receive written information about the study and provide informed consent.
2. Participants complete a short questionnaire on demographic and work-related background information.
3. Participants answer standardized questionnaire items regarding their experiences with and perceptions of AI systems used in workplace contexts.
4. Participants evaluate their level of trust in and acceptance of AI systems using established measurement scales.
5. Participants assess the knowledge intensity of their typical work tasks.
6. Participants are debriefed and conclude the study.

The complete procedure of this online study will last approximately 5 minutes.

4. Risks and Benefits

There are no risks associated with this online study. Discomforts or inconveniences will be minor and are not likely to happen. If any discomforts become a problem, you may discontinue your participation. You will not directly benefit through participation in this online study. We hope that the information obtained from your participation may help to bring forward the research in this field. The confirmation of participation in this study can be obtained directly from the researchers.

5. Data Protection and Confidentiality

We are planning to publish our results from this and other sessions in scientific articles or other media. These publications will neither include your name nor cannot be associated with your identity. Any demographic information will be published anonymized and in aggregated form. Contact details (such as e-mails) can be used to send you further details about the research. Your contact details will not be passed on to other third parties. Any data or information obtained in this online study will be treated confidentially, will be saved encrypted, and cannot be viewed by anyone outside this research project unless we have you sign a separate permission form allowing us to use them. All data you provide in this online study will be subject of the General Data Protection Regulation (GDPR) of the European Union (EU) and treated in compliance with the GDPR. Faculty and administrators from the campus will not have access to raw data or transcripts. This precaution will prevent your individual comments from having any negative repercussions. Any assessments or direct quotations from your textual feedback, that are made available through academic publications or other academic outlets will be anonymized so that you cannot be identified. This site uses cookies and other tracking technologies to conduct the research, to improve the user experience, the ability to interact with the system and to provide additional content from third parties. Despite careful control of content, the researchers assume no liability for damages, which directly or indirectly result from the use of this online application. Raw data and material will be retained securely and compliance with the GDPR, for no longer than necessary or if you contact the researchers to destroy or delete them immediately. As with any publication or online-related activity, the risk of a breach of confidentiality or anonymity is always possible. According to the GDPR, the researchers will inform the participant if a breach of confidential data was detected.

6. Identification of Investigators

If you have any questions or concerns about the research, please feel free to contact:

Prof. Dr. Gergana Vladova
Principal Investigator
Rudower Chaussee 25
12489 Berlin, Germany
gergana.vladova@hu-berlin.de

 
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