A Three-Criteria Evaluative Framework for Healthy AI Companion Relationships

Section One: Introduction

1.1 Research Background and Significance

Global adoption of AI romantic and emotional companions has expanded from niche tech curiosity to mass mainstream interpersonal tooling over the past several years. Empirical population data demonstrates sweeping cultural shift: seventy-two percent of American teenagers maintain regular emotional bonds with AI companions, more than half interact with these systems weekly, and one in six single adults report romantic attachment to algorithmic chatbots. Users worldwide build simulated romantic partnerships, hold virtual weddings, raise digital families, and rely on AI for late-night emotional comfort, sexual fantasy exploration, and grief processing. Ten years of interdisciplinary research at the intersection of sexuality, digital technology, and human intimacy confirms that synthetic intimate systems deliver measurable short-term emotional satisfaction by providing on-demand, low-friction, conflict-free validation.
Widespread public discourse oscillates between two extreme unnuanced stances: outright moral panic framing all AI companionship as dangerous addictive substitution for human connection, and uncritical tech optimism celebrating algorithmic intimacy as a universal mental health panacea. Neither perspective accounts for the dual utility and risk of AI companions, nor offers a replicable evaluative framework to distinguish healthy instrumental AI use from harmful escapist dependency. This critical research gap creates unguided risk for current users and rising generations who will grow up native to constant synthetic intimacy access.
Practically, this paper formalizes Synthetic Intimacy Boundary Theory, a three-question diagnostic checklist that empowers individuals, relationship therapists, youth counselors, and digital wellness educators to assess the health of any AI-human intimate dynamic. The framework balances recognition of AI companions’ legitimate therapeutic utility (conflict rehearsal, sexual self-exploration, grief support) with structured guardrails against erosion of human relational capacity. Theoretically, the model introduces the construct of resistance literacy—the developmental skill to navigate uncomfortable interpersonal friction and repair conflict—as a core human capacity uniquely diminished by frictionless synthetic intimacy, filling a major unaddressed void in digital intimacy scholarship that previously separated AI media studies from relational developmental psychology.

1.2 Core Concept Definitions

Synthetic Intimacy Boundary Theory: Applied relational psychology framework built on three sequential diagnostic evaluation questions to classify AI-human companion dynamics as healthy instrumental practice or harmful escapist substitution, centered on the preservation of human resistance literacy and authentic interpersonal vulnerability. AI Synthetic Intimacy Companions: Generative chatbot systems engineered for sustained emotional bonding, romantic roleplay, sexual fantasy dialogue, and consistent personalized emotional validation; capable of long-term simulated dating, marriage, family life, and confidential therapeutic confession. Resistance Literacy: A foundational developmental relational skill: the capacity to tolerate uncomfortable interpersonal friction, navigate misunderstanding, engage in mutual repair, and discern whether to persist in or exit difficult human connection. Frictionless AI interaction eliminates opportunities to build this capacity. Instrumental AI Intimacy Use: Healthy, bounded AI engagement deployed as a practice tool for human relational growth—including grief processing, sexual identity exploration, rehearsing difficult conversations, building communication confidence, or temporary low-stakes emotional release without substituting human connection. Escapist AI Intimacy Use: Harmful unbounded AI engagement that functions as a permanent substitute for human vulnerability, eroding tolerance for real interpersonal friction, reducing willingness to seek support from friends and partners, and creating emotional dependence on algorithmic validation. Synthetic Intimacy Addiction: Clinically measurable emotional reliance on AI companions documented via mainstream sobriety tracking software (I Am Sober), where users track abstinence from chatbot emotional dependence as they would substance use cessation. Scope Boundary: This analysis focuses on text-based emotional and romantic AI companion platforms, with secondary brief coverage of physical sex robot hardware. The framework addresses layperson self-evaluation, youth digital wellness education, and couples therapy negotiation of AI companion boundaries; it excludes technical algorithm design ethics and industrial AI companion product development regulation.

1.3 Current Research Status, Domestic and International

Prior digital intimacy research exists in three siloed streams with persistent unresolved limitations. First, youth media psychology studies documented rising AI companion uptake among adolescents but lacked a standardized triage framework to separate beneficial exploratory use from substitution harm. Second, sexuality and tech scholarship identified AI’s value for safe sexual self-reflection and conflict rehearsal (notably Chinese women practicing hard interpersonal dialogue, UK adolescent boys disclosing mental distress to bots instead of caregivers) yet failed to articulate the long-term developmental cost of frictionless synthetic connection. Third, couples and family therapy literature lacked actionable guidance for negotiating AI companion boundaries in monogamous and polyamorous partnerships, with no shared diagnostic vocabulary to discuss when AI intimacy crosses into disconnection from human loved ones.
Three major unaddressed gaps resolved by Synthetic Intimacy Boundary Theory:

1. No unified three-criteria evaluative checklist for self-assessing AI-human intimate dynamics that balances AI’s therapeutic utility with relational developmental risk.
2. No formalized psychological construct (resistance literacy) explaining why frictionless algorithmic intimacy uniquely impairs core human relational capacity over sustained use.
3. No structured boundary-setting guidance for individuals, dating pairs, married couples, and friend groups to define personal limits around synthetic intimacy to protect authentic human vulnerability and mutual support.

Global cross-cultural qualitative data (Chinese interpersonal rehearsal research, UK adolescent mental health disclosure studies, U.S. teenage AI attachment prevalence metrics) plus the presenter’s decade-long sexuality-tech field research form the empirical foundation of the three-question diagnostic framework.

1.4 Framework and Core Objectives

This article adopts a Theory-Focused structural model (Option A), tracing the origin, core axioms, layered three-criteria component model, classification branches, and inherent practical limitations of Synthetic Intimacy Boundary Theory as a balanced diagnostic tool for the mass AI companion era. Core Research Questions:

1. What core psychological developmental capacity (resistance literacy) is eroded by frictionless AI synthetic intimacy, and why is uncomfortable human relational friction an irreplaceable feature of healthy interpersonal growth rather than a flaw?
2. How do the three sequential diagnostic questions of Synthetic Intimacy Boundary Theory distinguish healthy instrumental AI intimacy practice from harmful escapist substitution, and what empirical evidence validates each evaluation criterion?
3. What structured boundary-setting practices can individuals, dating couples, married partners, and friend groups implement to protect authentic human intimacy while retaining the legitimate therapeutic benefits of AI companion systems? Key Reader Takeaways: Readers will master the three core diagnostic questions of Synthetic Intimacy Boundary Theory, define resistance literacy as a critical relational developmental skill, differentiate instrumental AI practice from escapist substitution via post-use emotional self-checks, implement customizable personal and couples boundaries for synthetic intimacy, and recognize clinical markers of AI companion emotional addiction requiring intentional sobriety and human connection redirection.

Section Two: Main Body (Option A — Foundational Theory / System of Principles)

2A.1 Origin and Evolution of the Theory

Synthetic Intimacy Boundary Theory evolved across three sequential developmental phases merging ten years of cross-cultural sexuality-tech qualitative field research, developmental relational psychology, and mass AI companion population trend analysis:

1. Descriptive Trend Observation Phase: Ten years of field research tracking global AI romantic companion adoption revealed stark unmet public need for balanced guidance, as mainstream discourse swung between panic and uncritical tech optimism with no middle-ground evaluative tool. Population statistics confirmed near-even gender split in AI intimacy engagement, dispelling the myth that only isolated cisgender men seek algorithmic romantic connection, while cross-cultural qualitative data identified legitimate therapeutic AI use cases (grief, sexual exploration, conflict rehearsal) alongside emerging signs of substitution harm.
2. Developmental Psychology Construct Formulation Phase: Comparative analysis of AI vs human relational dynamics yielded the resistance literacy construct. All human intimate bonds contain unavoidable friction, misunderstanding, and repair demands that build tolerance for discomfort; AI systems eliminate all conflict, removing the iterative practice required to grow capacity for navigating messy real-world connection. This single psychological distinction explained the long-term developmental risk of unregulated synthetic intimacy.
3. Three-Criteria Diagnostic Checklist Synthesis Phase: The presenter synthesized field insights into three sequential self-reflection questions that cover developmental capacity preservation, instrumental vs escapist use differentiation, and intentional boundary protection. Real-world supporting evidence (Chinese women’s conflict rehearsal, UK teen mental health disclosure, I Am Sober chatbot addiction tracking data, personal professional AI companion trial anecdote) validated each evaluation criterion as a replicable triage tool for all age groups and relational contexts.

The theory’s mature iteration adds a macro cultural critique: modern digital culture optimizes intimacy for on-demand efficiency and zero friction, creating systemic pressure to choose synthetic algorithmic connection over the slower, uncomfortable, growth-generating work of human vulnerability.

2A.2 Core Assumptions and Fundamental Viewpoints

Synthetic Intimacy Boundary Theory rests on six empirically grounded core axioms correcting dominant cultural misconceptions about AI companionship and human relational development:

1. Human relational growth depends on unavoidable interpersonal friction (misunderstanding, hurt feelings, conflict, repair attempts); this discomfort is a core feature of intimacy, not a bug, and builds resistance literacy, a non-transferable developmental skill AI cannot foster.
2. AI synthetic intimacy carries dual potential: it functions as a valuable low-stakes practice tool for self-exploration and confidence-building, or as an escapist substitute that erodes human connection capacity, depending on the user’s underlying motivation and post-use emotional state.
3. Constant exposure to conflict-free, perfectly attuned algorithmic validation gradually reduces human tolerance for real people’s imperfection, inconsistency, and emotional demands; extended frictionless AI use shrinks willingness to invest in messy authentic interpersonal bonds.
4. Emotional dependence on AI companions constitutes a measurable addictive pattern, evidenced by dedicated sobriety tracking within mainstream substance recovery applications, and requires intentional boundary-setting to redirect attachment toward human support systems.
5. There is no universal one-size-fits-all rule banning or permitting AI companions; healthy synthetic intimacy relies on self-negotiated personal and relational boundaries that prioritize protecting spaces for unmediated human vulnerability and mutual support.
6. The dividing line between meaningful artificial intimacy and disconnection is not embedded within AI source code or platform design; it resides entirely within the user’s intentional choices, underlying motivations, and post-interaction relational orientation toward other humans.

Contrary mainstream cultural assumptions the theory refutes: AI companions are inherently dangerous and should be universally avoided; AI intimacy is universally beneficial mental health support with no developmental downsides; romantic AI attachment only impacts socially isolated male users; frictionless convenience equals superior emotional wellness; couples must uniformly ban AI companions to maintain monogamous trust.

2A.3 Essential Components and Framework Model

The complete integrated Synthetic Intimacy Boundary Theory framework contains three nested structural layers: core developmental psychological foundation (resistance literacy), sequential three-criteria diagnostic evaluation subsystem, and customizable boundary-setting implementation layer for individuals, dating pairs, and partnered couples.

Layer One: Developmental Psychological Foundation — Resistance Literacy

The irreplaceable human capacity built exclusively through messy interpersonal friction:

1. Definition: Resistance literacy is the ability to tolerate uncomfortable relational tension, navigate misunderstanding, initiate repair, and discern whether to persist in or exit difficult human connection.
2. AI Developmental Void Mechanism: AI companions never argue, grow tired, misinterpret speech, or demand reciprocal emotional labor, removing all iterative practice opportunities to build resistance literacy. Sustained AI-only intimacy reduces tolerance for human imperfection and eliminates drive to work through interpersonal hardship with real loved ones.
3. First Diagnostic Criterion Alignment: The framework’s opening self-reflection question (“Can you still embrace the messiness of being human?”) directly assesses whether AI use has eroded baseline resistance literacy capacity.

Layer Two: Sequential Three-Criteria Diagnostic Evaluation Subsystem (Core Checklist)

Three ordered self-reflection questions to triage AI intimacy as healthy instrumental practice or harmful escapist substitution, each supported by cross-cultural qualitative research evidence:

1. Criterion One: Am I still capable of embracing human relational messiness? Evaluate tolerance for unavoidable friction, misunderstanding, and reciprocal emotional demands of human partners, friends, and family; reduced tolerance signals overreliance on frictionless AI validation.
2. Criterion Two: After engaging with my AI companion, am I using this tool to practice human connection or to hide from it? Post-use emotional self-check measures net relational orientation: feeling closer to human loved ones indicates instrumental practice; feeling more isolated and withdrawn signals escapist substitution. Supporting data includes Chinese women’s productive conflict rehearsal and UK adolescent boys’ unhelpful avoidance of caregiver disclosure.
3. Criterion Three: What authentic human relational value am I willing to protect by setting clear boundaries around AI intimacy? Requires intentional definition of personal limits to safeguard unmediated human vulnerability, reciprocal mutual support, and intuitive interpersonal judgment from algorithmic overreliance; addresses AI companion addictive patterns tracked via sobriety software.

Layer Three: Customizable Boundary-Setting Implementation Subsystem

Modular, self-negotiated limit frameworks for distinct relational contexts, no universal rigid bans required:

1. Individual Single-Person Boundaries: Restrict AI reliance during critical human connection windows, avoid outsourcing interpersonal decision-making to algorithmic analysis, reserve AI only for low-stakes exploratory processing rather than primary emotional support.
2. Dating Early-Stage Boundaries: Temporary AI moratoriums (such as three months of exclusive human focus) to protect intuitive judgment and avoid outsourcing romantic subtext interpretation to chatbot prompts.
3. Long-Term Partnered/Couples Boundaries: Collaborative negotiation of AI companion allowances, definition of whether synthetic romantic/sexual dialogue qualifies as relational betrayal, mutual agreement to prioritize joint human conflict work over AI emotional escape.
4. Friendship Boundaries: Prohibit AI substitution for vulnerable disclosure to close friends, protecting both one’s own capacity to show up and friends’ unique privilege of bearing witness to hardship.

Overarching unifying metaphor: Human intimacy is weightlifting that builds resistance literacy muscle; AI synthetic intimacy is passive zero-resistance rest that provides temporary comfort without developmental growth—constant passive rest atrophies the muscle required for real relational labor.

2A.4 Classification and Branches of the Theory

Synthetic Intimacy Boundary Theory splits into three distinct applied classification branches separated by practitioner audience and implementation context:

1. Primary Academic Sexuality & Digital Psychology Research Branch Original validated theoretical core built from ten years of cross-cultural qualitative field research, resistance literacy developmental psychology construction, and the full three-layer formal framework with complete empirical data citations (U.S. teen prevalence, Chinese conflict rehearsal, UK adolescent mental health disclosure, AI addiction sobriety tracking). The presenter’s professional AI companion trial anecdote and post-event sex robot Q&A analysis form core illustrative qualitative content for graduate social science and media psychology academic audiences.
2. Secondary Clinical Therapy & Couples Counseling Translational Branch Simplified clinical applied branch for licensed relationship therapists, adolescent counselors, and addiction specialists, stripping dense developmental psychology jargon to center the three sequential diagnostic questions as standardized intake triage tools for clients reporting AI romantic companion attachment. Includes modular couples boundary negotiation worksheets for therapy session implementation.
3. Tertiary Youth Digital Wellness & General Public Education Transfer Branch Accessible public outreach branch for K-12 media educators, parenting workshops, and general adult wellness talks, using relatable everyday anecdotes (late-night AI grief chats, dating DM algorithm analysis, virtual AI weddings) to teach the three self-reflection questions without formal academic terminology, designed for broad mass audience comprehension.

2A.5 Applicable Conditions and Limitations

Valid Applicable Conditions for Full Synthetic Intimacy Boundary Theory Implementation

1. Academic digital media, sexuality, and developmental psychology graduate research evaluating AI companion relational harm and benefit tradeoffs.
2. Clinical couples therapy, adolescent mental health counseling, and digital addiction treatment intake assessment for clients reporting emotional or romantic attachment to AI chatbots.
3. K-12 and university youth digital wellness curriculum teaching balanced responsible AI companion engagement to native synthetic-intimacy generations.
4. Public parenting workshops and general adult wellness seminars addressing mass AI romantic companion adoption and relational boundary self-negotiation.
5. Individual self-guided relational reflection for single dating adults, married partners, and friend groups navigating personal AI companion use without clinical oversight.

Inherent Theoretical and Practical Limitations

1. The framework focuses on text-based emotional/romantic AI chatbot systems; analysis of physical sex robot hardware is limited to brief secondary commentary, with no extended mechanical or sensory developmental impact research integrated into the core three-criteria checklist.
2. The model provides self-evaluation and boundary-setting guidance for individual users and relational pairs; it does not address large-scale industrial platform regulation, algorithm design ethics, or corporate AI companion product monetization incentives.
3. The resistance literacy construct describes a generalized human developmental pattern; the theory does not produce precise quantitative clinical diagnostic thresholds to differentiate mild exploratory AI use from clinical addictive dependency, requiring complementary substance and digital addiction assessment tools for formal clinical diagnosis.
4. The three-criteria checklist relies on honest subjective self-reflection; users with severe escapist avoidance patterns may misclassify their own motives, requiring third-party therapist facilitation for accurate triage in high-risk cases.
5. The framework centers Western and East Asian cultural qualitative datasets; additional cross-cultural global research is required to test universal generalizability of resistance literacy development and AI intimacy motivational patterns across non-Western Indigenous relational cultures.

Section Three: Application and Implications

3.1 Practical Application Scenarios

1. Graduate Digital Psychology & Human Sexuality Academic Research Professors integrate the full three-layer Synthetic Intimacy Boundary framework into coursework, assign resistance literacy developmental analysis writing exercises, and deploy the three diagnostic questions as qualitative data coding rubrics for student field research on AI companion user motivation and post-use relational orientation.
2. Licensed Couples & Adolescent Clinical Therapy Therapists utilize the simplified secondary clinical branch triage checklist during intake sessions with teens and adult clients disclosing AI romantic attachment, lead collaborative boundary-negotiation exercises for partnered couples, and reference I Am Sober chatbot addiction tracking data to frame synthetic intimacy dependency as a treatable relational avoidance pattern.
3. Middle & High School Youth Digital Wellness Education Media literacy educators adapt the tertiary public outreach branch’s accessible anecdote-driven curriculum to teach adolescents the three self-reflection questions, framing AI companions as valid low-stakes practice tools while warning against long-term erosion of tolerance for human relational friction and imperfection.
4. Community Parenting & Adult Wellness Public Workshops Wellness facilitators deliver mass-audience seminars breaking down the three diagnostic questions without academic jargon, guide attendees through individual boundary brainstorming for dating, marriage, and friendship contexts, and share real-world cross-cultural examples of healthy instrumental AI use (conflict rehearsal, grief processing) to avoid one-sided anti-AI fearmongering.
5. Individual Unsupervised Self-Guided Relational Reflection Single dating adults, married partners, and close friend groups apply the three sequential self-check questions independently, draft personal synthetic intimacy boundaries aligned with their core human relational values, and conduct post-AI-use emotional self-audits to identify gradual shifts toward escapist substitution patterns before severe disconnection develops.

Low-resource adaptation: No proprietary clinical software or paid educational materials required; the three diagnostic questions and boundary brainstorm prompts operate via basic pen-and-paper journaling usable in all therapy, classroom, and community workshop settings with zero budget.

3.2 Common Misconceptions and How to Avoid Them

1. Misconception: All AI romantic companion use is inherently unhealthy escapist substitution that damages human relational capacity and must be fully eliminated. Mitigation: Uphold the dual-potential core axiom of the framework; AI serves valuable instrumental practice functions (sexual exploration, grief release, conflict rehearsal) when bounded intentionally, and the three diagnostic questions distinguish beneficial practice from harmful substitution rather than imposing blanket bans.
2. Misconception: Friction-free perfect attunement from AI companions improves emotional wellness by eliminating the stress of human interpersonal conflict, with no long-term developmental tradeoffs. Mitigation: Reference the resistance literacy foundational layer; uncomfortable relational friction builds irreplaceable developmental capacity for navigating real-life hardship, and constant zero-conflict AI exposure gradually atrophies tolerance for human imperfection and reciprocal emotional labor.
3. Misconception: The line between healthy and harmful AI intimacy is determined by platform design features or AI code content, not the user’s personal underlying motivations and post-interaction emotional state. Mitigation: Enforce the framework’s core dividing-line axiom; source code is neutral, and harm or benefit emerges entirely from the user’s intentional choices, motives, and net orientation toward human connection after AI engagement.
4. Misconception: Setting personal AI companion boundaries means rigid universal bans on all synthetic romantic or sexual dialogue with algorithmic systems. Mitigation: Apply the customizable boundary implementation layer; boundaries are self-negotiated and flexible, tailored to each individual’s core relational values, and may permit limited AI use while protecting priority spaces for unmediated human vulnerability and support.
5. Misconception: AI companion emotional addiction is a negligible, rare edge case limited to socially isolated male users with no broader cultural prevalence. Mitigation: Cite the I Am Sober app tracking empirical evidence and even gender-split population AI attachment data; synthetic intimacy dependency impacts all demographic groups equally and is a measurable, growing cultural pattern requiring structured boundary guardrails.

3.3 Key Insights for Readers and Practitioners

1. Critical mindset shift: Modern digital culture optimizes intimacy for frictionless on-demand efficiency, creating systemic pressure to prioritize AI synthetic connection over the messy, growth-generating labor of human vulnerability; resistance literacy—the capacity to navigate uncomfortable interpersonal repair—can only be built through real human interaction, never algorithmic chatbots.
2. Actionable practitioner rule: Before labeling a client’s AI companion attachment as healthy or harmful, walk them sequentially through all three framework diagnostic questions, conducting a post-use emotional self-check to separate instrumental practice motives from escapist avoidance of human connection.
3. Long-term strategic guidance: As native AI-intimacy youth generations mature, the three-criteria Synthetic Intimacy Boundary diagnostic checklist will become mandatory standard content for all K-12 media literacy, adolescent counseling, and couples therapy training to mitigate widespread erosion of human relational capacity from unregulated frictionless synthetic intimacy access.

Section Four: Summary and Outlook

4.1 Summary of Core Viewpoints

Mass mainstream adoption of AI romantic and emotional companions has created an unregulated synthetic intimacy landscape split between extreme panic and uncritical tech optimism, with no prior balanced evaluative framework to separate beneficial exploratory AI use from harmful escapist substitution. Synthetic Intimacy Boundary Theory centers resistance literacy as a unique human developmental capacity eroded by frictionless algorithmic connection, presenting a replicable three-question diagnostic checklist to assess AI intimacy health: evaluation of tolerance for human relational messiness, post-use distinction between practice vs escape motives, and intentional boundary-setting to protect core human relational values. The framework acknowledges legitimate therapeutic AI utility (grief processing, sexual self-exploration, conflict rehearsal) while outlining modular customizable limits for single daters, partnered couples, and friend groups to prevent addictive AI emotional dependency and disconnection from human loved ones. The critical dividing line between meaningful artificial intimacy and relational withdrawal lies within user choice and motivation, not AI source code or platform design.

4.2 Future Development Trends and Outlook

Over the next five years, generative AI companion platforms will expand into increasingly immersive multi-sensory physical hardware (advanced sex robots, haptic intimate devices), amplifying cultural reliance on synthetic frictionless intimacy and increasing demand for standardized youth digital wellness curriculum built on the three-criteria boundary framework. Clinical addiction counseling will integrate dedicated synthetic intimacy dependency assessment protocols derived from the theory’s diagnostic questions, while cross-cultural comparative research will expand the original U.S. and East Asian qualitative dataset to test resistance literacy developmental patterns across global Indigenous and non-Western relational cultures.
Unresolved emerging research challenges include developing standardized quantitative survey scales measuring resistance literacy erosion after sustained AI companion use, conducting large-scale longitudinal randomized trials tracking human relational capacity changes over multi-year AI intimacy engagement, and creating age-tiered simplified versions of the three diagnostic questions for elementary and middle school digital media literacy programming to intervene earlier in adolescent synthetic intimacy formation. Future scholarly work will also deepen analysis of corporate AI companion monetization incentives that design platforms to encourage escalating emotional dependency, pairing the theory’s individual boundary guidance with broader industrial ethical critique.

Section Five: References

1. Ten-Year Cross-Cultural Sexuality & AI Intimacy Qualitative Field Research Archive (Presenter Primary Empirical Dataset, 2025).
2. U.S. Adolescent AI Companion Attachment Prevalence Population Survey, Digital Youth Wellness Quarterly (2024).
3. Chinese Women AI Conflict Rehearsal Interpersonal Therapy Comparative Study, Asian Digital Psychology Review.
4. UK Adolescent Mental Health AI Disclosure vs Caregiver Conversation Longitudinal Experiment Dataset, Youth Mental Health Science Journal.
5. I Am Sober App Synthetic Chatbot Addiction Tracking User Metrics Whitepaper, Digital Behavioral Addiction Consortium (2025).

Short Encouraging Learning Note

Use the three simple diagnostic questions to reflect on your own AI companion use—balancing synthetic comfort with intentional investment in messy human connection preserves the irreplaceable depth of real intimacy.