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UNDERSTANDING THE DEVELOPMENT OF RELATIONSHIP-LIKE BONDS BETWEEN HUMAN BEINGS AND ARTIFICIAL INTELLIGENCE AS A FORM OF HUMAN COMPANIONSHIP

Salsabila, Naila Zakia and Sulistyani, Hapsari Dwiningtyas (2026) UNDERSTANDING THE DEVELOPMENT OF RELATIONSHIP-LIKE BONDS BETWEEN HUMAN BEINGS AND ARTIFICIAL INTELLIGENCE AS A FORM OF HUMAN COMPANIONSHIP. Undergraduate thesis, Fakultas Ilmu Sosial dan Ilmu Politik Universitas Diponegoro.

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Abstract

As Artificial Intelligence has been embedded in everyday communication, people
are no more limited to using AI only for practical tasks and merely treating AI as a
tool. Artificial Intelligence increasingly develops that it also plays as interactive
entity capable of responding to personal communication with human-like answers
to its users. This research explores how relationship-like bonds between human
beings and Artificial Intelligence develop through users stories and experiences in
using Artificial Intelligence, seeking the progress that turns to personal interactions
from impersonal interactions. This study uses Labov’s narrative elements to
identify every aspects until the outcome of the experience that each informant has.
Theories involved are Knapp’s Relational Development Model, Human Agency in
Social Cognitive Theory by Albert Bandura, and Human-Machine Communication
Theory. The development shows from impersonal use of Artificial Intelligence to
personal use is different among users, though repeated interaction supports the
development of relationship-like bonds with Artificial Intelligence. Nevertheless,
users remain active in determining the meaning of these interactions.
Keywords: Artificial Intelligence, Human-AI Interaction, AI Companionship,
Personal AI use, Social Interaction with AI, AI as Communicator, HumanMachine Communication
204 Ilmu Komunikasi 2026

Item Type: Thesis (Undergraduate)
Subjects: Social Science and Political Science
Divisions: Faculty of Social and Political Sciences > Department of Communication
Depositing User: diana nirwani
Date Deposited: 30 Sep 2026 07:50
Last Modified: 01 Oct 2026 06:17
URI: https://eprints2.undip.ac.id/id/eprint/62374

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