ANALISIS LITERATUR TERHADAP DESAIN DAN UX PADA CHATBOT REPLIKA AI DENGAN PENDEKATAN GROUNDED THEORY

Abstrak

This study explores the evaluation of interface design and user experience in Replika AI within the broader development of chatbots that increasingly support daily digital interactions. As chatbots evolve to perform not only informational functions but also emotional companionship, understanding how users perceive and experience these systems becomes essential. The objective of this research is to analyze Replika AI through five key domains: User Interface (UI), User Experience (UX), Humanization, Chatbot Technology, and Cognitive and Psychological Aspects, in order to understand how these dimensions shape user engagement, perception, and emotional connection. Using a grounded theory approach, literature was systematically collected through Google Scholar with a focus on studies published between 2020 and 2025 that explicitly applied grounded theory. Data were analyzed through constant comparative techniques, selective coding, and theoretical sampling to build an integrated evaluation model. The results reveal that recent research predominantly emphasizes the Chatbot and Humanization domains, highlighting growing interest in conversational quality, empathy simulation, and emotional bonding, while UX and cognitive-psychological aspects also show strong representation, particularly in relation to trust, satisfaction, engagement, and emotional regulation. Conversely, the UI domain remains underexplored despite its foundational role in shaping clarity, navigation, and first impressions. The findings conclude that effective user experience in AI chatbots emerges from the interplay of technical design, interaction quality, human-like attributes, and psychological dynamics. The study underscores the need for future developments to strengthen UI, enhance UX evaluation, refine humanization features, and ensure psychological well-being to support sustainable, human-centered AI interactions.