Chatbots for Robotic Process Automation: Investigating Perceived Trust and User Satisfaction

Abstract

Driven by ongoing improvements in machine learning, chatbots have increasingly grown from experimental interface prototypes to reliable and robust tools for process automation. Building on these advances, companies have identified various application scenarios, where the automated processing of human language can help foster task efficiency. To this end, the use of chatbots may not only decrease costs, but it is also said to boost user satisfaction. People's intention to use and/or reuse said technology, however, is often dependent on less utilitarian factors. Particularly trust and respective task satisfaction count as relevant usage predictors. In this paper, we thus present work that aims to shed some light on these two variable constructs. We report on an experimental study (n = 277), investigating four different human-chatbot interaction tasks. After each task, participants were asked to complete survey items on perceived trust, perceived task complexity and perceived task satisfaction. Results show that task complexity impacts negatively on both trust and satisfaction. To this end, higher complexity was associated particularly with those conversations that relied on broad, descriptive chatbot answers, while conversations that span over several short steps were perceived less complex, even when the overall conversation was eventually longer.

Penambahan Variabel Tingkat Kecerdasan dari Chatbot untuk Mempengaruhi Kepercayaan Pengguna dalam Aplikasi Telekonsultasi Kesehatan

“…Berkaitan dengan kemungkinan interaksi ulang, kepribadian chatbot yang ramah memiliki peringkat median tertinggi (Antonio et al, 2022). Selain itu, keramahan chabot yang dirasakan oleh pelanggan berhubungan positif terhadap kepercayaan dan kepuasan pelanggan terhadap layanan chatbot (Casadei et al, 2022). Gaya percakapan yang ramah dalam penerapan chatbot juga dapat mempengaruhi kepercayaan pelanggan terhadap suatu merek (Palomino-Navarro dan Arbaiza, 2022).…”

“…Selain jaminan, keandalan tugas dari chatbot juga memberikan dampak positif terhadap kepuasan pelanggan (Yun dan Park, 2022). Kompleksitas chatbot yang dirasakan pelanggan menunjukan bahwa pengalaman penggunaan teknologi berhubungan secara positif dengan kepercayaan mereka terhadap chatbot (Casadei et al, 2022).…”