WEB ADVERTISING: WHAT DO WE KNOW ABOUT ITS ACCEPTANCE AND IMPACTS? - A META-ANALYSIS OF THE LITERATURE

Internet advertising market has grown rapidly over the past decade. Its annual revenue has reached around 21.1 billion in 2007, and more than half of Internet advertising is related to Web advertising. Web advertising affects the majority if not all web viewers who would encounter some Web ads at one time or the other when they are using the Web. With such a magnitude on investment and in influence, however, our understanding of Web ads is limited and fragmented. This study aims to provide a comprehensive picture of the state of research on Web advertising, especially its interaction with individual viewers. In this meta-analysis of more than sixty empirical research articles published from 1996 to 2007, we develop a framework of Web advertising research that can be used to demonstrate the research foci so far. Both dependent and independent variables can be classified with the framework. Our findings indicate that (1) empirical studies on Web advertising have considered features of four components and their interactions: viewer, Web Ad, ad host, and product/service being advertised. The impacts of Web ads have been found to be on viewers and viewers\u27 interactions with ads, hosts, and products/services. (2) The number of empirical research of Web advertising has increased gradually in different academic disciplines; however, the number is very insignificant compared to the growing Web advertising market and the broad influence of Web ads. (3) The study efforts are scattered and the findings are inconsistent and inconclusive. We conclude the existing studies and point out future research directions in this area

The impact of chatbot technology attributes on customer experience : an example in telecom

The implementation of Artificial Intelligence technologies by companies is changing the nature of interactions with customers and it is seen as a business opportunity. The automation of repetitive and ordinary work is now possible, resulting in an increase of the productivity, creativity, and efficiency of organizations. However, there should be a preoccupation to understand the importance of the customer experience with the introduction of these innovations, not only because people react differently to technology, but also to ensure the overall brand impact is positive. The aim of this study is to investigate the chatbot perceived attributes impact in customer experience, by analyzing the effects of human-like design cues and customer satisfaction on this relationship, in the scope of telecommunications industry. In order to accomplish these goals, a cross-sectional online questionnaire was conducted. Findings from the quantitative data analysis indicated that both perceived technology attributes studied, Ease of Use and Usefulness, impact positively the customer experience. Overall, the effect of the chatbot attributes on the experience is mediated by the customer’s satisfaction with the chatbot and has no different effects depending on the presence of human-like design cues in the chatbot.A implementação de tecnologias de inteligência artificial por parte das empresas está a mudar a natureza das interações com os seus clientes e é vista como oportunidade de negócio. A automação de trabalho repetitivo e rotineiro é agora possível, resultando num aumento de produtividade, criatividade e eficiência por parte das organizações. Contudo, deve haver uma preocupação para perceber a importância da experiência do cliente com a introdução destas inovações, não só pelo facto das pessoas responderem de forma diferente à tecnologia, mas também para garantir que a marca sofre um impacto positivo geral. O objetivo deste estudo é investigar o impacto dos atributos tecnológicos percebidos de um chatbot na experiência do cliente, analisando o efeito dos sinais humanos no design e a satisfação do cliente nesta relação, no âmbito da indústria das telecomunicações. Para tal, um questionário transversal foi aplicado. Os resultados da análise de dados quantitativos indicam que os dois atributos tecnológicos estudados, Facilidade de Uso e Utilidade, impactam positivamente a experiência. De modo geral, o efeito dos atributos do chatbot na experiência é mediado pela satisfação do consumidor com o chatbot e não tem efeitos diferentes dependendo da presença de sinais humanos no design do mesmo

People Can Be So Fake: A New Dimension to Privacy and Technology Scholarship

This article updates the traditional discussion of privacy and technology, focused since the days of Warren and Brandeis on the capacity of technology to manipulate information. It proposes a novel dimension to the impact of anthropomorphic or social design on privacy. Technologies designed to imitate people-through voice, animation, and natural language-are increasingly commonplace, showing up in our cars, computers, phones, and homes. A rich literature in communications and psychology suggests that we are hardwired to react to such technology as though a person were actually present. Social interfaces accordingly capture our attention, improve interactivity, and can free up our hands for other tasks. At the same time, technologies that imitate people have the potential to implicate long-standing privacy values. One of the well-documented effects on users of interfaces and devices that emulate people is the sensation of being observed and evaluated. Their presence can alter our attitude, behavior, and physiological state. Widespread adoption of such technology may accordingly lessen opportunities for solitude and chill curiosity and self-development. These effects are all the more dangerous in that they cannot be addressed through traditional privacy protections such as encryption or anonymization. At the same time, the unique properties of social technology also present an opportunity to improve privacy, particularly online

An investigation into the efficacy of avatar-based systems for student advice

Student support is an important function in all universities. Most students expect access to support 24/7, but support staff cannot be available at all times of day. This paper addresses this problem, describing the development of an avatar-based system to guide students through the materials provided by a university student employability service. Firstly, students and staff were surveyed to establish the demand for such a system. The system was then constructed. Finally, the system was evaluated by students and staff, which led to a clearer understanding of the optimal role for avatar-based systems and consequent improvements to the system’s functionality

An investigation into the efficacy of avatar-based systems for student advice

Student support is an important function in all universities. Most students expect access to support 24/7, but support staff cannot be available at all times of day. This paper addresses this problem, describing the development of an avatar-based system to guide students through the materials provided by a university student employability service. Firstly, students and staff were surveyed to establish the demand for such a system. The system was then constructed. Finally, the system was evaluated by students and staff, which led to a clearer understanding of the optimal role for avatar-based systems and consequent improvements to the system’s functionality

If I Can\u27t Predict My Future, Why Can AI? Exploring Human Interaction with Predictive Analytics

This research study seeks to understand how AI-based chatbots can potentially be leveraged as a tool in a PSYOP. This study is methodologically driven as it employs validated scales concerning suggestibility and human-computer interaction to assess how participants interact with a specific AI chatbot, Replika. Recent studies demonstrate the capability of GPT-based analytics to influence user’s moral judgements, and this paper is interested in exploring why. Results will help draw conclusions regarding human interaction with predictive analytics (in this case a free GPT-based chatbot, Replika) to understand if suggestibility (how easily influenced someone generally is) impacts the overall usability of AI chatbots. This project will help assess how much of a concern predictive AI chatbots should be considered as virtual AI influencers and other bot-based propaganda modalities emerge in the contemporary media environment. This study uses the CASA paradigm, medium theory, and Boyd’s theory of conflict to explore how factors that often drive human computer interaction— like anthropomorphic autonomy and suspension of disbelief— potentially relate to suggestibility or chatbot usability. Overall, this study is interested in specifically exploring if suggestion can predict usability in AI chatbots

Human-Machine Communication: Complete Volume. Volume 2

This is the complete volume of HMC Volume 2

Conversational commerce: entering the next stage of AI-powered digital assistants

Digital assistant is a recent advancement benefited through data-driven innovation. Though digital assistants have become an integral member of user conversations, but there is no theory that relates user perception towards this AI powered technology. The purpose of the research is to investigate the role of technology attitude and AI attributes in enhancing purchase intention through digital assistants. A conceptual model is proposed after identifying three major AI factors namely, perceived anthropomorphism, perceived intelligence, and perceived animacy. To test the model, the study employed structural equation modeling using 440 sample. The results indicated that perceived anthropomorphism plays the most significant role in building a positive attitude and purchase intention through digital assistants. Though the study is built using technology-related variables, the hypotheses are proposed based on various psychology-related theories such as uncanny valley theory, the theory of mind, developmental psychology, and cognitive psychology theory. The study’s theoretical contributions are discussed within the scope of these theories. Besides the theoretical contribution, the study also offers illuminating practical implications for developers and marketers’ benefit