Exploring the Lived Experience of Human–AI Interaction: Understanding Meaning, Trust, and Ethical Awareness among Computer Science Professionals
Keywords:
Artificial Intelligence, Phenomenology, Human–Computer Interaction, Ethical Awareness, Cognitive Adaptation, Emotional ExperienceAbstract
Artificial intelligence (AI) has become an integral part of modern life, transforming how humans learn, work, and make decisions. Within the field of Computer Science, the growing human reliance on intelligent systems raises important questions about how individuals experience and interpret their interactions with AI technologies. Despite significant advances in technical performance, little is known about the lived experience of users how they make sense of trust, uncertainty, and agency when engaging with intelligent systems. This study adopts a phenomenological approach to explore the essence of human–AI interaction by examining participants’ subjective experiences with intelligent computational systems. Using an interpretative phenomenological framework, this research involved purposefully selected Computer Science professionals and undergraduate students who had a minimum of one year of active engagement with AI tools, resulting in a sample of [jumlah partisipan] participants. Data were collected through in-depth interviews lasting 45–60 minutes, and the analytic procedure followed the structured steps of Interpretative Phenomenological Analysis (IPA), including initial noting, emergent theme development, and cross-case thematic clustering to reveal recurring patterns of meaning. The results indicate that human–AI interaction is characterized by three interrelated experiential dimensions: cognitive adaptation, emotional negotiation, and ethical reflection. Participants described their encounters with AI as dynamic, reflexive processes that shape their understanding of autonomy, responsibility, and collaboration. These findings highlight that engagement with AI is not merely functional but profoundly human, encompassing moral, emotional, and existential dimensions. The study contributes to a more holistic and empathetic understanding of AI systems, offering insights for developing technologies that align with human values and ethical awareness.
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