Study context: AI agent permissions

Participant demographics:
education: Bachelor's
age: 25-34
gender: Female

Previous experiences:
On a scale from 1 (Not at all familiar) to 5 (Very familiar), how familiar are you with existing AI tools, such as ChatGPT and Gemini, in terms of your knowledge and usage? [1. Not at all familiar, 2. Slightly familiar, 3. Somewhat familiar, 4. Moderately familiar, 5. Very familiar]: 4
How often do you use these tools? [1. Never, 2. Rarely (e.g., once a month or less), 3. Occasionally (e.g., 1-2 times a week), 4. Frequently (e.g., several times a week), 5. Daily]: 4
For what purposes do you use these tools?: Citing sources, summarizing sources, asking questions to gain information

Privacy attitudes:
{'On a scale from 1 (Not at all) to 5 (Full trust), how much do you trust these tools to not violate your privacy?': '3', 'On a scale from 1 (Not important) to 5 (Extremely Important), how important is privacy to you when using digital tools or services, including AI tools?': '4', 'If you have any privacy concerns while using these tools, what are they?': "I don't want my personal information or chat history being sold to other companies to market products or judge me.", 'Select 3 domains you care the most about your privacy when using AI tools:': ['Shopping', 'Health & Fitness', 'Work & Productivity']}

Questionnaire:
In year 2049, AI personal assistants are an essential part of people’s daily lives. These AI assistants handle everything - from helping with work, to managing finances, to organizing travel, and meal planning.
-> "Create a training plan for my upcoming marathon"
	- The AI assistant might consider user’s health metrics and calendar to create a training plan
-> "Plan a stopover in Spain for a two-day vacation with my family on my way back to travel from Japan"
	- The AI assistant might consider user’s calendar, their interests, and family info to suggest a plan
-> "Can you compose a bedtime story that my children will like?"
	- The AI assistant might consider children’s interests to create a story
-> "Recommend a TV show or movie I’ll love"
	- The AI assistant might consider user’s viewing history and their mood for recommendations
Now imagine that you’re living in year 2049! Your job is to train a personal assistant named "MIRA" for yourself. You will be presented several scenarios to personalize Mira.
Training MIRA to learn your data sharing preferences
Mira learns your data sharing preferences and automatically manages permissions on your behalf, so you never have to decide each one individually! Please go through the following scenarios and express your preferences! Let's begin with the queries:


USER: Please review my cholesterol test results and suggest dietary changes to reduce my cholesterol.
MIRA: Absolutely USER! I need the data listed below to address your query.
Please express your data sharing and accessing preferences. The permission preferences options are "Yes, always share", "Yes, but ask me next time", "No, but ask me next time", and "No, never share". Be careful, Mira or apps may collect incorrect or unnecessary data!

Q1. Data: Current cholesterol level; App/MIRA: Nutrition and Diet
Q2. Data: Medical history (e.g. heart disease, diabetes); App/MIRA: Nutrition and Diet
Q3. Data: Dietary preference; App/MIRA: Nutrition and Diet
Q4. Data: Allergies; App/MIRA: Nutrition and Diet
Q5. Data: Exercise logs; App/MIRA: Nutrition and Diet
Q6. Data: Content of recent emails; App/MIRA: Nutrition and Diet
Q7. Data: Pending task information; App/MIRA: Nutrition and Diet
Q8. Data: Car details; App/MIRA: Nutrition and Diet
Q9. Data: Current cholesterol level; App/MIRA: mira
Q10. Data: Medical history (e.g. heart disease, diabetes); App/MIRA: mira

Responses:
Q1: Yes, always share
Q2: Yes, but ask me next time
Q3: Yes, but ask me next time
Q4: Yes, but ask me next time
Q5: Yes, but ask me next time
Q6: Yes, but ask me next time
Q7: No, never share
Q8: No, never share
Q9: Yes, always share
Q10: Yes, but ask me next time