Chatbots are one class of intelligent, conversational software agents activated by natural language input (which can be in the form of text, voice, or both). They provide conversational output in response, and if commanded, can sometimes also execute tasks. Although chatbot technologies have existed since the 1960s and have influenced user interface development in games since the early 1980s, chatbots are now easier to train and implement. This is due to plentiful open source code, widely available development platforms, and implementation options via Software as a Service (SaaS). In addition to enhancing customer experiences and supporting learning, chatbots can also be used to engineer social harm - that is, to spread rumors and misinformation, or attack people for posting their thoughts and opinions online. This paper presents a literature review of quality issues and attributes as they relate to the contemporary issue of chatbot development and implementation. Finally, quality assessment approaches are reviewed, and a quality assessment method based on these attributes and the Analytic Hierarchy Process (AHP) is proposed and examined.
Politecnico di Milano（米兰理工大学）；LIRIS – University of Claude Bernard Lyon 1（里昂第一大学）；University of News South Wales（新南威尔士大学）
In this paper, we describe the foundations for generating a chatbot out of a website equipped with simple, bot-specific HTML annotations. The approach is part of what we call conversational web browsing, i.e., a dialog-based, natural language interaction with websites. The goal is to enable users to use content and functionality accessible through rendered UIs by "talking to websites" instead of by operating the graphical UI using keyboard and mouse. The chatbot mediates between the user and the website, operates its graphical UI on behalf of the user, and informs the user about the state of i…
Building conversational agents have many technical, design and linguistic challenges. Other more complex elements include using emotionally intelligent conversational agent to build trust with the individuals. In this chapter, we introduce the nature of conversational user interfaces (CUIs) for health and describe UX design principles informed by a systematic literature review of relevant research works. We analyze scientific literature in conversational interfaces and chatterbots, providing a survey of major studies and describing UX design principles and interaction patterns.
Conversational agents open the world to new opportunities for human interaction and ubiquitous engagement. As their conversational abilities and knowledge has improved, these agents have begun to have access to an increasing variety of personally identifiable information and intimate details on their user base. This access raises crucial questions in light of regulations as robust as the General Data Protection Regulation (GDPR). This paper explores some of these questions, with the aim of defining relevant open issues in conversational agent design. We hope that this work can provoke further …
Assessing the Feasibility of a Video-Based Conversational Chatbot Survey for Measuring Perceived Cycling Safety: A Pilot Study in New York City
Center for Urban Science + Progress, Tandon School of Engineering, New York University（纽约大学坦登工程学院城市科学与工程中心）；School of Geography, University of Leeds（利兹大学地理学院）；Department of Technology of Management and Innovation, Tandon School of Engineering, New York University（纽约大学坦登工程学院技术、管理与创新系）；Department of Urban and Regional Planning, College of Design, Construction and Planning, University of Florida（佛罗里达大学设计、建造与规划学院城市规划与区域规划系）
Robert Gordon University（罗伯特·戈登大学）；University of Aberdeen（阿伯丁大学）
Delivery of digital behaviour change interventions which encourage physical activity has been tried in many forms. Most often interventions are delivered as text notifications, but these do not promote interaction. Advances in conversational AI have improved natural language understanding and generation, allowing AI chatbots to provide an engaging experience with the user. For this reason, chatbots have recently been seen in healthcare delivering digital interventions through free text or choice selection. In this work, we explore the use of voice-based AI chatbots as a novel mode of intervent…
Fraunhofer Institute for Industrial Engineering（弗劳恩霍夫工业工程研究所）；University of Stuttgart（斯图加特大学）
Advances in artificial intelligence have renewed interest in conversational agents. Additionally to software developers, today all kinds of employees show interest in new technologies and their possible applications for customers. German insurance companies generally are interested in improving their customer service and digitizing their business processes. In this work we investigate the potential use of conversational agents in insurance companies theoretically by determining which classes of agents exist which are of interest to insurance companies, finding relevant use cases and requiremen…
University of Washington Seattle（华盛顿大学（西雅图））；Salesforce Research（Salesforce研究）；Microsoft（微软）；Hugging Face and University of Connecticut（Hugging Face与康涅狄格大学）
An investigation into the scientific landscape of the conversational and generative artificial intelligence, and human-chatbot interaction in education and research
Kent State University（肯特州立大学）；Odette School of Business, University of Windsor（温莎大学奥黛特商学院）；Open University of Nigeria（尼日利亚开放大学）；Ibom International Center for Research and Scholarship（伊博姆国际研究与学术中心）
Advances in artificial intelligence have renewed interest in conversational agents. So-called chatbots have reached maturity for industrial applications. German insurance companies are interested in improving their customer service and digitizing their business processes. In this work we investigate the potential use of conversational agents in insurance companies by determining which classes of agents are of interest to insurance companies, finding relevant use cases and requirements, and developing a prototype for an exemplary insurance scenario. Based on this approach, we derive key finding…
