A natural language technology-enhanced mobile sales assistant for in-store shopping situations
نویسندگان
چکیده
Sales talks between customers and sales personnel are efficient and preferred means for exchanging information that is relevant for purchase decisions on non-commodity products. Dialogs used in sales talks are governed by complex and in many respects conflicting intentions on both sides. While previous Decision Support Systems (DSS) are designed by the principle of congruent intentions of communication partners, we present an approach that extends this by congruent and opposing intentions of communication partners. We use a design methodology for dialog-based purchase DSS that use Natural Language Technologies (NLT) for dynamically creating question-answer-based sales dialogs. It is first shown how dialog schemata are obtained by a field study and evaluated by subjects. In the second part, these schemata are integrated in a Natural Language Technology-enhanced Mobile Sales Assistant (NLT-MSA). The role of NLT-MSA is to take the position of a sales person with the task to balance congruent and conflicting intentions during sales dialogs. Results of a lab experiment (n=54) are discussed by which the use of a NLT-MSA prototype in sales situations were tested. As part of this study, test persons rated application domains for NLT-MSA that will guide future field experiments in the large.
منابع مشابه
E-shopping and in-store shopping status in Tehran: Can e-shopping reduce traffic in the future?
Nowadays Information and Communication Technology effects on all aspects of human activities, such as teleworking, electronic commerce, electronic banking, electronic learning, etc. the most of these services can prevent unnecessary travels in cities especially in rush hour. The aim of this study is to explore the frequency of electronic shopping and in-store shopping in Tehran, according to ge...
متن کاملMa$$ive ─ An Intelligent Shopping Assistant
Our intelligent shopping assistant, Ma$$ive, is a web application for mobile phones that aims to help users with their everyday grocery shopping by offering features such as natural language shopping lists, product recommendations, special offers, recipes and in-shop navigation. This short paper briefly describes the current and planned features of Ma$$ive.
متن کاملFrom ShopTalk to ShopMobile: Vision-Based Barcode Scanning with Mobile Phones for Independent Blind Grocery Shopping
Independent grocery shopping is a major challenge for many visually impaired (VI) individuals [1]. In 2006, we began our work on ShopTalk, a wearable system for independent blind supermarket shopping [2]. ShopTalk consisted of a small OQO computer, a wireless barcode reader, and ...
متن کاملAgent-based Model for Intelligent Shopping Assistant and its Application
With the rapid expansion of the Internet, the implementation of agent technology in electronic commerce (e-commerce) becomes very popular, which provides a promising field for the approach of agent and Artificial Intelligence technology. In this paper, we describe a multi-agent intelligent shopping assistant implemented in our EasyMall system, and present the agent-based model for intelligent s...
متن کاملConversational Sales Assistant for Online Shopping
Websites of businesses should accommodate both customer needs and business requirements. Traditional menu-driven navigation and key word search do not allow users to describe their intentions precisely. We have developed a conversational interface to online shopping that provides convenient, personalized access to information using natural language dialog. User studies show significantly reduce...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2011