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Tilo Hartmann

Publications and source records attributed to Tilo Hartmann.

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AI-RP: The AI Relationship Process Framework

For a growing number of people, AI chatbots have become close personal companions. Despite rising scholarly attention, theoretical accounts of how such relationships develop remain fragmented. Existing frameworks address important aspects of the phenomenon, but they rarely treat human-chatbot communication as the central behavior that builds relationships. To address this gap, we propose the AI relationship process (AI-RP) framework. The AI-RP outlines relationship formation as a sequential process. (a) Chatbot characteristics shape users' (b) social perceptions. These perceptions guide (c) communication, and communication produces (d) relational outcomes such as attachment and companionship. The AI-RP introduces a six-features profile characterizing chatbots, a dual-route approach of social perception, a behavioral conceptualization of communication and discusses the foundation and types of artificial relationships. By foregrounding observable communicative behavior, the AI-RP provides a foundation for theory building and empirical research on the social and ethical implications of AI companionship.

cs.HC

Would You Rely on an Eerie Agent? A Systematic Review of the Impact of the Uncanny Valley Effect on Trust in Human-Agent Interaction

Trust is a fundamental component of human-agent interaction. With the increasing presence of artificial agents in daily life, it is essential to understand how people perceive and trust these agents. One of the key challenges affecting this perception is the Uncanny Valley Effect (UVE), where increasingly human-like artificial beings can be perceived as eerie or repelling. Despite growing interest in trust and the UVE, existing research varies widely in terms of how these concepts are defined and operationalized. This inconsistency raises important questions about how and under what conditions the UVE influences trust in agents. A systematic understanding of their relationship is currently lacking. This review aims to examine the impact of the UVE on human trust in agents and to identify methodological patterns, limitations, and gaps in the existing empirical literature. Following PRISMA guidelines, a systematic search identified 53 empirical studies that investigated both UVE-related constructs and trust or trust-related outcomes. Studies were analyzed based on a structured set of categories, including types of agents and interactions, methodological and measurement approaches, and key findings. The results of our systematic review reveal that most studies rely on static images or hypothetical scenarios with limited real-time interaction, and the majority use subjective trust measures. This review offers a novel framework for classifying trust measurement approaches with regard to the best-practice criteria for empirically investigating the UVE. As the first systematic attempt to map the intersection of UVE and trust, this review contributes to a deeper understanding of their interplay and offers a foundation for future research. Keywords: the uncanny valley effect, trust, human-likeness, affinity response, human-agent interaction

cs.HC