Salsabilla, Luthfia (2026) ANALISIS POLA INTERAKSI MAHASISWA DALAM KONTEKS HUMAN-MACHINE COMMUNICATION DENGAN CHATGPT. Undergraduate thesis, UPN VETERAN JAWA TIMUR.
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Abstract
Conversational artificial intelligence, such as ChatGPT, has revolutionized students’ interactions with technology, shifting from information-search-oriented strategies toward a more dialogic and interactive approach. This study aims to examine patterns of student interaction with ChatGPT through the lens of Human-Machine Communication (HMC). This study employs a descriptive qualitative approach, collecting data through in-depth interviews, observations, and documentation. Based on the findings, students use ChatGPT for both academic and non-academic purposes, including creating social media content, editing images, sharing stories, and as a conversation partner. This study reveals two main interaction patterns: an instructional pattern focused on task completion and a relational pattern characterized by sustained conversation, the use of polite language, and a sense of comfort in communication. These findings reinforce the Computers Are Social Actors (CASA) theory and demonstrate that ChatGPT has functioned as a communicative agent, assisting students in communicating during various daily activities.
| Item Type: | Thesis (Undergraduate) | ||||||||
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| Subjects: | H Social Sciences > H Social Sciences (General) | ||||||||
| Divisions: | Faculty of Social and Political Sciences > Departement of Communication | ||||||||
| Depositing User: | Luthfia Salsabilla Luthfia | ||||||||
| Date Deposited: | 21 Jul 2026 07:24 | ||||||||
| Last Modified: | 11 Sep 2026 08:17 | ||||||||
| URI: | https://repository.upnjatim.ac.id/id/eprint/57218 |
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