Features requirement elicitation process for designing a chatbot application

Abstract

Today, chatbots are being employed across a wide range of businesses. The researchers will present the outcome of the literature exploration on attributes of chatbots that later become a reference to build a new chatbot for banking use. The goal is to use human natural language as an interaction medium to aid humans in doing any prescribed activity. It is important to think about how people engage with chatbots in order to create a viable and high‐quality chatbot solution. The authors aim to help the chatbot community by determining what qualities a chatbot should have and how to build a chatbot for a bank. For the purpose of compiling useful chatbot characteristics, the researchers searched through a group of linked papers. The survey was done on a small group of chatbot end users in order to get a sense of what functionalities are most important to the end users. On the basis of a summary of the literature research and data from a survey, a set of chatbot functional features is proposed. This research intended to provide a quality feature criterion for creating a chatbot application.

The Effects of Artificial Intelligence Chatbots on Women’s Health: A Systematic Review and Meta-Analysis

“…This was highlighted by a study showing that individuals still preferred to consult a doctor or nurse after interacting with a chatbot [ 6 ]. The proposed functional features of chatbots include functionality, efficiency, technical satisfaction, humanity, effectiveness, and ethics [ 7 ]. Consequently, while chatbots cannot substitute human involvement in physical health promotion, they can improve the efficiency of treatment when their use is validated by an expert.…”

“…An AI chatbot’s interaction with a user starts with an input, either text or spoken language, which is then analyzed using natural-language processing (NLP) to understand the intent and context. The chatbot determines the user’s intent through NLP analysis and generates a response either through rule-based methods for simple queries or machine learning for more complex interactions, improving over time with feedback [ 7 ]. It is anticipated that with NLP training, chatbots achieve capabilities that are nearly human-like or even surpass human quality.…”