29 research outputs found

    The Influence of Virtual Representatives on Recommender System Evaluation

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    Virtual representatives are increasingly used in recommender systems to guide users and add conversational aspects. However, the impacts of virtual representatives on users’ evaluations of the recommender system have not been investigated. This study specifically examined the influence of virtual representatives’ anthropomorphism cues on system users’ perceptions of system credibility and liking. The results revealed that system users’ perceptions of the virtual representative’s credibility have a significant influence on users’ perceived credibility and liking of the system. Also, the human-like appearance of a virtual representative significantly influences users’ perceived attractiveness of the virtual representative, while voice outputs from the representative were found to have a significant influence on users’ liking of the recommender system

    Creating More Credible and Likable Travel Recommender Systems: The Influence of Virtual Agents on Travel Recommender System Evaluation

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    To help online trip planners, some online travel agencies and travel service providers have adopted travel recommender systems. Although these systems are expected to support travelers in complex decision-making processes, they are not used efficiently by travelers due to a lack of confidence in the recommendations they provide. It is important to examine factors that can influence the likelihood of recommendations to be accepted and integrated into decision-making processes. The persuasion literature suggests that people are more likely to accept recommendations from credible and likable sources. It has also been found that technologies can be more credible and likable when they give a variety of social cues that elicit social responses from their human users. Thus, it is argued that enhancing the social aspects of travel recommender systems is important to create more persuasive systems. One approach to enhancing the social presence of recommender systems is to use a virtual agent. Current travel recommender systems use various types of virtual agents. However, it is still not clear how those virtual agents are perceived by travel recommender system users and influence users' system evaluations and interactions with these systems. Consequently, this dissertation aimed to investigate the influence of virtual agents presented in travel recommender systems on system users' perceptions. Specifically, the virtual agents' anthropomorphism as well as similarity and authority cues on system users' perceptions of system credibility and liking were examined. For this purpose, two experiments were conducted. For Study 1, the impacts of anthropomorphism of the virtual agents on users' perceptions of virtual agents as well as recommender systems in terms of credibility and attractiveness/liking were examined. Anthropomorphism was manipulated with visual human appearance and voice output. Study 2 tested the influence of virtual agents? similarity and authority on travel recommender system users' perceptions of virtual agents and system credibility and attractiveness/liking. Similarity and authority of the virtual agent were tested by manipulating nonverbal cues (age and outfit) of the agent. The results showed that the characteristics of virtual agents have some influences on system users' perceptions of virtual agents as well as recommender systems. Specifically, a human-like appearance of the virtual agent is found to positively influence users' perceived attractiveness of the virtual agent while voice outputs were found to enhance users' liking of the system (Study 1). Findings also indicate that RS users' perceptions of virtual agent expertise are increased when virtual agents wear a uniform rather than a casual outfit (Study 2). In addition, system users' perceptions of the virtual agent's credibility are found to have a significant influence on users' perceived credibility and liking of the overall system, which implies an important role of virtual agents in recommender system evaluations. Further, perceived credibility and liking of recommender systems lead to favorable evaluations of the recommendations, which, in turn, increase users' intentions to travel to the recommended destination. Past travel recommender system studies have largely neglected the social role of recommender systems as advice givers. Also, it is not clear whether the specific characteristics of virtual agents presented as a part of the system interface influence system users' perceptions. This dissertation sought to close this knowledge gap. By applying classic interpersonal communication theories to human and system relationships, this dissertation expands the scope of traditional theories used in the context of studying recommender systems. Further, the results of the research presented in this dissertation provide insights for tourism marketing as well as practical implications for travel recommender system design

    What motivates consumers to write online travel reviews?

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    The Web provides a fertile ground for word-of-mouth communication and more and more consumers write about and share product-related experiences online. Given the experiential nature of tourism, such first-hand knowledge communicated by other travelers is especially useful for travel decision making. However, very little is known about what motivates consumers to write online travel reviews. A Web-based survey using an online consumer panel was conducted to investigate consumers\u27 motivations to write online travel reviews. Measurement scales to gauge the motivations to contribute online travel reviews were developed and tested. The results indicate that online travel review writers are mostly motivated by helping a travel service provider, concerns for other consumers, and needs for enjoyment/positive self-enhancement. Venting negative feelings through postings is clearly not seen as an important motive. Motivational differences were found for gender and income level. Implications of the findings for online travel communities and tourism marketers are discussed

    The influence of perceived credibility on preferences for recommender systems as sources of advice

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    Recommender systems promise to support travelers in complex decision-making processes; however, whether a recommendation is seen as credible advice and actually taken into account not only depends on travelers\u27 perceptions of the recommendation but also of the system as the advice giver. A scale to measure recommender system credibility was developed and tested. The results confirm that credibility has two dimensions: expertise and trustworthiness. Further, significant gender differences in credibility perceptions were found. The findings also indicate that respondents prefer humans as recommendation sources and that this preference is influenced by perceptions of lack of credibility of recommender systems as well as gender-specific preferences. Implications for future research and for recommender system design are discussed

    Creating more credible and persuasive recommender systems: The influence of source characteristics on recommender systems evaluations

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    Abstract Whether users are likely to accept the recommendations provided by a recommender system is of utmost importance to system designers and the marketers who implement them. By conceptualizing the advice seeking and giving relationship as a fundamentally social process, important avenues for understanding the persuasiveness of recommender systems open up. Specifically, research regarding the influence of source characteristics, which is abundant in the context of humanhuman relationships, can provide an important framework for identifying potential influence factors. This chapter reviews the existing literature on source characteristics in the context of human-human, human-computer, and humanrecommender system interactions. It concludes that many social cues that have been identified as influential in other contexts have yet to be implemented and tested with respect to recommender systems. Implications for recommender system research and design are discussed

    Antecedents and impacts of trust in travel-related consumer-generated media

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    This study investigated the factors influencing trust in travel-related CGM and the degree to which trust affects the benefits and impacts of using CGM when planning pleasure trips. An online survey of US Internet users was conducted with a total of 1170 individuals responding to questions regarding their perceptions and use of CGM for travel planning. The findings show that CGM use is widespread and that trust depends on the type of website on which the CGM is posted, perceptions of other CGM creators as well as CGM readers’ personality. Also, those who have greater trust in CGM report greater impacts and derive greater benefits from their CGM use
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