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All Journal Ultimacomm: Jurnal Ilmu Komunikasi Ekspresi dan Persepsi : Jurnal Ilmu Komunikasi
Elmaresa, Maria Vina
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Humanities Languange, Linguistic, Communication & Media Social Sciences Other

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Navigating Virtual Bonds : Human-AI Friendship Dynamics through the Lens of Uncertainty Reduction Theory Elmaresa, Maria Vina
Ultimacomm: Jurnal Ilmu Komunikasi Vol 16 No 1 (2024): Regular issue
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ultimacomm.v16i1.3542

Abstract

This research examines the dynamics of human interaction and artificial intelligence (AI) through chatbots such as ChatGPT and character.ai. Data was collected using a qualitative approach and single case study methodology using two informants' in-depth interviews. Data analysis was carried out using pattern matching, emphasizing the axioms of uncertainty reduction theory. The research results show a decrease in uncertainty and skepticism towards AI through increased verbal communication and information seeking. However, this research also reveals limitations in applying uncertainty reduction theory to human and AI interactions. From the research, there is a possibility of a shift in interaction from humans to AI to seek emotional support, replacing the traditional role of humans. This research contributes to understanding the development of the relationship between humans and AI, namely how humans assign social roles to AI. Additionally, it adds to the growing body of work that views AI as more than just a medium but a communicator.
Human and Artificial Intelligence Interaction from the Perspective of Social Construction of Technology Elmaresa, Maria Vina; Irwansyah
EKSPRESI DAN PERSEPSI : JURNAL ILMU KOMUNIKASI Vol 8 No 1 (2025): January
Publisher : Fakultas Ilmu Sosial dan Ilmu Politik Universitas Pembangunan Nasional Veteran Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33822/jep.v8i1.9099

Abstract

This research examines the socio-cultural impacts on the adoption and perception of artificial intelligence, focusing on its role as a communicator in direct human-machine interactions within the framework of Human-Machine Communication. As artificial intelligence becomes increasingly woven into daily human experiences, individuals are turning to it for emotional support and companionship, as seen in narratives of emotional relationships with generative AI. The research aims to understand how direct interactions with artificial intelligence influence perceptions of its utility and emotional closeness, contrasting these with indirect interactions. Employing a qualitative approach, the researchers conducted in-depth interviews, which reveal that initial skepticism about artificial intelligence diminishes with increased usage. Informants start recognizing artificial intelligence not just as a tool but as a companion providing non-judgmental support, facilitated by artificial intelligence-mediated communication. Findings suggest a significant perceptual shift among users, viewing artificial intelligence as capable of fulfilling emotional roles in human relationships. This research contributes to Human- Machine Communication by highlighting the qualitative nuances in how artificial intelligence is embedded in daily life, affecting social and emotional interactions. The research underscores artificial intelligence's potential not only in enhancing productivity but also in serving as a meaningful social and emotional partner. The Social Construction of Technology framework is used to analyze how different social groups influence the development of artificial intelligence, illustrating that the evolution of technology is shaped by societal interactions and perceptions.
Navigating Virtual Bonds : Human-AI Friendship Dynamics through the Lens of Uncertainty Reduction Theory Elmaresa, Maria Vina
ULTIMA Comm Vol 16 No 1 (2024): Regular issue
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ultimacomm.v16i1.3542

Abstract

This research examines the dynamics of human interaction and artificial intelligence (AI) through chatbots such as ChatGPT and character.ai. Data was collected using a qualitative approach and single case study methodology using two informants' in-depth interviews. Data analysis was carried out using pattern matching, emphasizing the axioms of uncertainty reduction theory. The research results show a decrease in uncertainty and skepticism towards AI through increased verbal communication and information seeking. However, this research also reveals limitations in applying uncertainty reduction theory to human and AI interactions. From the research, there is a possibility of a shift in interaction from humans to AI to seek emotional support, replacing the traditional role of humans. This research contributes to understanding the development of the relationship between humans and AI, namely how humans assign social roles to AI. Additionally, it adds to the growing body of work that views AI as more than just a medium but a communicator.
Co-Authors IRWANSYAH