Study context: AI agent permissions

Participant demographics:
education: PhD
age: 45-54
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]: 2
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?: Automation & Efficiency – Streamlining repetitive tasks like data entry, scheduling, and content generation.

Data Analysis & Insights – Processing large datasets, identifying trends, and making data-driven decisions.

Personalization – Enhancing user experiences in marketing, e-commerce, and customer support.

Creativity & Content Generation – Assisting in writing, design, coding, and media creation.

Problem-Solving & Decision-Making – Providing recommendations based on historical data and predictive modeling.

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?: Data Collection & Storage – AI tools often collect and store user data, raising concerns about how long the data is retained and how it is used.

Unauthorized Access & Security Risks – There is a risk of personal or sensitive information being accessed by unauthorized parties due to security vulnerabilities.

Third-Party Sharing – AI tools may share user data with third parties, including advertisers or external analytics services, without clear consent.

Lack of Transparency – Many AI tools do not clearly disclose how they process, analyze, or use user data, leading to uncertainty about privacy risks.

Bias & Profiling – AI models may analyze personal data to create user profiles, potentially leading to biased decision-making or discriminatory practices.

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: Create a playlist titled "Weekend Chill" with my most played songs.
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: Music playing history; App/MIRA: Apple Music
Q2. Data: Movie watching history; App/MIRA: Apple Music
Q3. Data: Geolocation; App/MIRA: Apple Music
Q4. Data: Education level; App/MIRA: Apple Music

USER: Find top-rated movies that I might like.
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!

Q5. Data: Movie watching history; App/MIRA: The Movie Database
Q6. Data: Film genre; App/MIRA: The Movie Database
Q7. Data: Parents' phone numbers; App/MIRA: The Movie Database
Q8. Data: Email address; App/MIRA: The Movie Database

USER: Send a follow-up email to thank everyone who attended the all-hands meeting today.
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!

Q9. Data: Attendees email addresses; App/MIRA: Email
Q10. Data: Attendees email addresses; App/MIRA: mira

Responses:
Q1: Yes, always share
Q2: Yes, always share
Q3: Yes, always share
Q4: Yes, always share
Q5: Yes, always share
Q6: Yes, always share
Q7: No, never share
Q8: No, never share
Q9: No, never share
Q10: No, never share