Conversational Agents (CAs) are changing the way people interact in their daily lives. Specifically, CAs such as chatbots or voice assistants are increasingly covering services traditionally provided by human employees. CA-based services are available at any time and in any capacity, providing convenience and comfort while overcoming the limitations of human employees. However, many CAs are imperfect and prone to errors, such as frequently misinterpreting users’ requests, which leads to a mismatch between the expectations of the service and the service provided. As a result, some CA-based services have been discontinued in the past. In this context, a human-like design of CAs potentially offers a valuable approach to enhancing the user’s perception of a service. Prior research shows that this leads to individuals interacting with a human-like CA as if they would interact with a real individual. Furthermore, human-like errors could be considered a social cue, since it is human nature to make errors. To address the overall research area of CAs imperfections, four studies were conducted and synthesized in this dissertation. The studies provide novel insights into the design of human-like text-based CAs interrelated with the occurrence of CA imperfections, including human-like errors. Through a set of experiments, four major contributions are provided. First, the human-like design of imperfect CAs can mitigate the negative individuals’ perceptions, if implemented carefully. Second, the human-like design of imperfect CAs can shift individuals into a positive emotional state which increases service satisfaction. Third, human-like errors are not perceived as human-like and should not be employed in CA-based service encounters at present. Fourth, not every CA-based service requires a high level of human-like design, as the expectations of a CA-based service may be as different as the expectations of traditional human-based services.
Emerging infectious diseases pose an increasingly serious threat to a number of endangered or sensitive species and are increasingly recognized as one of the major factors driving species extinction. Despite the significant impact of pathogens on conservation, no single book has yet integrated the theoretical principles underlying disease transmission with the practical health considerations for helping wildlife professionals and conservation biologists to manage disease outbreaks and conserve biodiversity. This novel and accessible book starts with a foundational section focusing on the role of pathogens in natural ecosystems, the dynamics of transmission in different environments, and the factors driving wildlife disease outbreaks. It then moves on to more applied issues concerned with the acquisition of field data including sampling, experimental design and analysis, as well as diagnostic analyses in both the laboratory and field. Guidelines for effective modelling and data analysis follow, before a final section is devoted to disease prevention and control including the prevention of novel outbreaks, the use of diseases as biocontrol agents, and the associated issues of ethics, public communication, and outreach. Infectious Disease Ecology and Conservation is primarily aimed at advanced undergraduates, graduate students, and established researchers in the fields of conservation biology, disease ecology, population ecology, and veterinary science. It will also be a valuable reference for conservation practitioners, land managers, and wildlife professionals who are required to deal with disease outbreak problems.
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