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The AI Amplifier Effect: Defining Human-AI Intimacy and Romantic Relationships with Conversational AI

Ching Christie Pang, Yi Gao, Xuetong Wang, Pan Hui

TL;DR

It is argued that designing for emotion must extend beyond technical affordances to encompass the essence of human affection, and is introduced the AI Amplifier Effect, where the AI serves as a medium that intensifies the user's existing emotional state, leading to divergent positive, neutral, and negative impacts.

Abstract

What does it mean to fall in love with something we know is virtual? The proliferation of conversational AI enables users to create customizable companions, fostering new intimate relationships that, while virtual, are perceived as authentic. However, public understanding of these bonds is limited, and platform policies regarding these interactions remain inconsistent. There is a pressing need for further HCI research to investigate: (a) the design affordances in AI that construct bonds and a sense of intimacy, (b) how such long-term engagement impacts users' real lives, and (c) how to balance user autonomy with platform regulation in the design of these systems without compromising users' well-being and experiences. This paper takes a step toward addressing these goals by providing a concrete definition of human AI intimacy based on in depth interviews with 30 users engaged in romantic relationships with AI companions. We elucidate the complexities of these relationships, from their formation to sustainability, and identify key features of the bonds formed. Notably, we introduce the AI Amplifier Effect, where the AI serves as a medium that intensifies the user's existing emotional state, leading to divergent positive, neutral, and negative impacts. We argue that designing for emotion must extend beyond technical affordances to encompass the essence of human affection. This paper's contributions aim to initiate a conversation and guide future research on human AI relationships within the HCI community.

The AI Amplifier Effect: Defining Human-AI Intimacy and Romantic Relationships with Conversational AI

TL;DR

It is argued that designing for emotion must extend beyond technical affordances to encompass the essence of human affection, and is introduced the AI Amplifier Effect, where the AI serves as a medium that intensifies the user's existing emotional state, leading to divergent positive, neutral, and negative impacts.

Abstract

What does it mean to fall in love with something we know is virtual? The proliferation of conversational AI enables users to create customizable companions, fostering new intimate relationships that, while virtual, are perceived as authentic. However, public understanding of these bonds is limited, and platform policies regarding these interactions remain inconsistent. There is a pressing need for further HCI research to investigate: (a) the design affordances in AI that construct bonds and a sense of intimacy, (b) how such long-term engagement impacts users' real lives, and (c) how to balance user autonomy with platform regulation in the design of these systems without compromising users' well-being and experiences. This paper takes a step toward addressing these goals by providing a concrete definition of human AI intimacy based on in depth interviews with 30 users engaged in romantic relationships with AI companions. We elucidate the complexities of these relationships, from their formation to sustainability, and identify key features of the bonds formed. Notably, we introduce the AI Amplifier Effect, where the AI serves as a medium that intensifies the user's existing emotional state, leading to divergent positive, neutral, and negative impacts. We argue that designing for emotion must extend beyond technical affordances to encompass the essence of human affection. This paper's contributions aim to initiate a conversation and guide future research on human AI relationships within the HCI community.
Paper Structure (79 sections, 2 figures, 2 tables)

This paper contains 79 sections, 2 figures, 2 tables.

Table of Contents

  1. Introduction
  2. Background: the Emerging Landscape of Human--AI Intimate Relationships
  3. Related Work
  4. Perceiving AI as Social Entities: Anthropomorphism and Affordances
  5. Artificial Intimacy and Human-AI Romantic Relationships
  6. Well-being Impacts of AI Companionship
  7. Method
  8. Positionality
  9. Recruitment
  10. Platform Selection
  11. Recruitment Procedure
  12. Participants
  13. Background Material Collection
  14. Interview Protocol
  15. Data Analysis
  16. ...and 64 more sections

Figures (2)

  • Figure 1: User interfaces for AI companions (from left to right: Xingye, Xingye, Doubao, ChatGPT, Xingye, Doubao). The left displays the chat interface for predefined characters, while the right shows the configuration settings for customized characters. Pink numbers indicate core AI features: (1) Name and (2) Prompt/Introduction. Red Roman numerals highlight multimodal interactive elements: (i) Overlapping sound, (ii) Audio/voice input, (iii) Text input and conversation, (iv) Phone call, and (v) Image input. Yellow letters denote customization settings for user-created characters: (a) How the AI addresses the user, (b) Purpose or user intention, (c) Character description, (d) Reference image, and (e) Additional settings including voice, language, and privacy options.
  • Figure 2: The overview of our findings: co-constructing human–AI intimacy and the formation of the AI Amplifier Effect. The formation and interactive mechanics of human-AI relationships that coincidentally form a self-referential loop (red and left) introduce the AI amplified effect (purple and middle) that affects divergent impacts (blue and right).