Informed Consent
Kirsten Ziman, Ph.D., Lecturer, Princeton University
Michael S. Graziano, Ph.D., Professor of Psychology, Princeton University
You have been asked to participate in a study aimed at training AI’s to describe mental states. To pursue this aim, we are collecting descriptions of attention from human participants. These descriptions will help our AI’s learn to describe attention in ways that sound natural. If you agree to participate in this study, you may view multiple videos depicting other agents’ attention moving around the screen (with attention shown as a bright blob, moving over a black background, over an image, or over a movie). Your main job will be to describe the attention you see in each video. You may also be asked to interact with an AI, working together to describe images or videos. In this case, part of your job will be to judge how well the AI works. For example, we might ask you about how friendly, collaborative, and helpful the AI is, and other basic feedback about its functioning. If you decide to participate, your collective response data will be used to train AI’s and to assess AI performance. The alternative is to not participate.
In this experiment, you will be asked to sit in a quiet, comfortable location and use your computer’s standard monitor and keyboard to interact with the experiment and submit your responses. The data we collect from you may include any typed or button-press responses, entered on a standard computer keyboard, as well as responses in the form of multiple-choice, drop-down, checklists, etc., entered using a standard computer mouse, and verbal responses, collected via audio recording. We will also ask you for basic demographic information about yourself (e.g. age and gender), to help us track the demographics of the subjects in our study. Collectively, your responses will help us to develop, train, and test AI’s that will be more intuitive and pleasant for users.
In addition to these entered and/or spoken responses, at the end of the experiment we will ask you for responses describing your experience (e.g. parts of the tasks you found especially easy or especially tricky, things you noticed while doing the experiment, etc.). These responses will help to inform our future studies and improve our experiment design. Risks and Inconveniences
The risks involved in this behavioral study are minimal and are limited to the risks present during routine computer usage. For example, prolonged time spent sitting at a computer can cause eye strain or back discomfort. For this reason, study sessions will be limited to 120 minutes or less in length. Additionally, periodic breaks will be built into the study, allowing you to rest and relax (use the restroom, have a drink of water, etc.) and continue, if and when you are comfortable. If you become uncomfortable at any time and wish to stop or withdraw from the study, you may do so immediately with no loss of benefit.
The main investigators of this study will not be able to link your name to your data. The only link between your data and your personal identity will be your Prolific ID number. Anonymous data (without your name or Prolific ID number) may be presented at research meetings, published in research journals, and shared in online repositories. Anonymous data may be provided to third parties (such as the creators of data analysis software) for use in connection with product development and marketing activities. Anonymous data may also be entered into artificial intelligence platforms (such as ChatGPT or other similar technologies) by researchers for analysis, hypothesis generation, or other research-related purposes.
You will be paid $20/hour for participation in this study if you are recruited as a paid subject, otherwise you will receive course credit. If a session is terminated early due to participant discomfort, software malfunction, or other unforeseeable event, you will nonetheless be paid for the session. In addition to financial or academic remuneration, you may also draw satisfaction from the knowledge that information generated by this study may help improve rapidly emerging technologies. This knowledge may facilitate enhanced collaboration between humans and AI’s and make it easier for society to enjoy the benefits of AI assistants in daily life.