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Into the Mind of AI : How Uncertainty and Sociality Motivation Shape Chatbot Anthropomorphism

STOJNŠEK, Katja

Basic information

Original name

Into the Mind of AI : How Uncertainty and Sociality Motivation Shape Chatbot Anthropomorphism

Authors

STOJNŠEK, Katja

Edition

IEEE RO-MAN 2025: Shaping our hybrid future with robots together, 25 - 29 August 2025, Eindhoven University of Technology, Eindhoven, The Netherlands, 2025

Other information

Language

English

Type of outcome

Presentations at conferences

Country of publisher

Netherlands

Confidentiality degree

is not subject to a state or trade secret

References:

Organization

Filozofická fakulta – Repository – Repository

Keywords in English

Anthropomorphic Robots and Virtual Humans; Cognitive Skills and Mental Models; Monitoring of Behaviour and Internal States of Humans

Links

MUNI/A/1590/2024, interní kód Repo.
Changed: 31/10/2025 00:50, RNDr. Daniel Jakubík

Abstract

In the original language

Anthropomorphism plays a crucial role in human-computer interaction (HCI), robotics, and, in my case of interest, artificial intelligence (AI) chatbots. People commonly anthropomorphize nonhuman agents such as pets and gods, imbuing humanlike capacities and mental experiences to them. According to prior research, there are three psychological determinants that underlie anthropomorphism when individuals try to comprehend such agents: elicited agent knowledge, effectance motivation, and sociality motivation. Since existing research on chatbot anthropomorphism has not kept pace with advancements in AI technology, particularly the increasing sophistication of LLMs, I will test whether chatbot predictability and users' levels of loneliness influence the anthropomorphization of AI chatbots using an experimental method. The experiment is not only relevant for obtaining new empirical results that support the cognitive and motivational determinants of anthropomorphism but also contributes to the discussion on the impact of AI chatbot design.

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