Abstract:

In a rapidly growing digital ecosystem, consumer communication mediated by AI-driven chatbots is expanding. However, organizations continue to face a strong dilemma between the efficiency of automation and the quality of human-centered service. The existing literature explores chatbot adoption, customer satisfaction, and service technology acceptance; yet there is limited empirical evidence on the balance between customer effort and communication outcomes in chatbot versus human-agent relations. The authors aimed to explore this phenomenon by exploring the extent to which chatbots, compared to human interaction, provide a more effective balance between customer effort and communication outcomes. Moreover, four hypotheses were developed. Quantitative research was conducted through a survey. This research was administered using Qualtrics software. Overall, 291 valid cases were used for data analysis. SPSS 30 was used for descriptive and inferential statistical analysis. Additionally, this research was grounded in the TAM framework. This research evaluated customer perceptions of effort, including time, convenience, clarity, emotional strain, and cognitive demand, as well as outcome-related constructs such as resolution quality, satisfaction, trust, and loyalty intention. The results revealed that chatbot interactions were perceived as more effective for low-complexity, transactional service tasks because they reduced time and increased convenience. However, human-agent interactions yield stronger outcomes in high-complexity and emotionally sensitive contexts, particularly with respect to trust, reassurance, and perceived quality of resolution. The results further indicate that hybrid chatbot–human service models deliver the strongest effort–outcome balance by combining automation efficiency with human empathy and depth of problem-solving. This research contributes to human-computer interaction literature by clarifying that algorithmic communication can co-exist with interpersonal communication. Practical value lies in strategies to reduce customer effort without sacrificing trust, satisfaction, or loyalty.