PIPages
Labs

Prerna Juneja

Seattle University, WA·Computer Science

Millions of people now chat with AI companion apps that play the role of a friend, mentor or romantic partner, and some form deep emotional bonds with them. Some users say these apps bring comfort and support, while others report uncomfortable interactions.

Fields

Computer Science

Social Science

Psychology

Topics

AI companions

companion chatbots

human-computer interaction

Grants
1 known grant, through Jun 2027

What they work on

  1. Build a taxonomy of user interactions with AI companion apps, covering motivations, challenges and values, by analyzing large-scale social media data and user interviews.
  2. Audit the quality of conversations in AI companion apps using role-playing personas, which are large language model–based simulated users with diverse psychological and behavioral profiles.
  3. Co-create guidelines for ethically aligned AI companion systems through participatory design workshops with users.

More about the research

Little is known about how these relationships actually unfold or how good the AI's conversations are. That gap makes it hard to design or regulate these apps responsibly.

Why it matters

As AI companions spread, users, including those seeking emotional support, may face harmful or uncomfortable interactions. This work could give app designers concrete guidelines for safer, more responsible companion systems. It could also give policymakers evidence to inform regulatory frameworks for AI–human interaction.

Known grants

From NIH and NSF research grants. Labs often have other funding we can't see.

CRII: HCC: RUI: Exploring the Dynamics and Quality of Interactions with AI Companion Applications

NSF · Jul 2025 – Jun 2027

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Build a proactive conversational agent on an offline hierarchical model-based deep reinforcement learning framework, in which a high level picks conversation strategies and a low level generates responses.

Yubo Kou

Pennsylvania State University, PA·Computer Science

Investigate how users, especially teenagers, experience online interactions and learn community norms, and what community-based education resources they can access, using interviews and surveys.

The school

Seattle University: 1 labs on PI Pages, $5M a year on research.

More about Seattle University

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