1,322 research outputs found

    Evaluation of human-like anthropomorphism in the context of online bidding and affordances

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    This paper presents a four condition experiment and the results concerning the wider area of investigating the effectiveness and user satisfaction of using anthropomorphic feedback at the user interface. The specific context used was online bidding. The four conditions used in the experiment were human video, human voice, human voice with anthropomorphic text and a control consisting of neutral text. The main results of the experiment showed significant differences in participants' perceptions regarding the 'humanity' of the feedback they used. As expected, the control condition consisting of neutral text incurred significantly lower ratings for the 'humanity' characteristics of the feedback. The human video condition also incurred significantly stronger perceptions regarding the appearance being human. The results were also analysed in light of the theory of affordances and the authors conclude that the four conditions used in the experiment were likely equivalent in their facilitating the affordances. Therefore the authors suggest that facilitating the affordances may be more crucial to a user interface and the users than the actual anthropomorphic characteristic of the feedback used

    Anthropomorphic user interface feedback in a sewing context and affordances

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    The aim of the authors' research is to gain better insights into the effectiveness and user satisfaction of anthropomorphism at the user interface. Therefore, this paper presents a between users experiment and the results in the context of anthropomorphism at the user interface and the giving of instruction for learning sewing stitches. Two experimental conditions were used, where the information for learning sewing stitches was the same. However the manner of presentation was varied. Therefore one condition was anthropomorphic and the other was non-anthropomorphic. Also the work is closely linked with Hartson's theory of affordances applied to user interfaces. The results suggest that facilitation of the affordances in an anthropomorphic user interface lead to statistically significant results in terms of effectiveness and user satisfaction in the sewing context. Further some violation of the affordances leads to an interface being less usable in terms of effectiveness and user satisfaction

    Designing Persuasive Avatars in mHealth for Arabic Culture: A Qualitative Study

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    Open innovation is built on the core principles of interactions, interdependence and exchange of knowledge. Clusters are believed to support organisations’ efforts to explore and source external knowledge, commercialise internal innovations and cause externalities through commercial activities. Early research on the innovation capabilities of regional clusters in Europe provides limited understandings of these cluster-based effects through which open innovation is fostered. This study investigates the role of clusters on open innovation practices relating to exploration and exploitation of external knowledge, knowledge sharing, acquisition and sale of IP rights of Indian IT organisations. The results reveal that organisations within a close geographic proximity actively participate in inbound and outbound activities and perform better in terms of innovation performance compared to the organisations outside the cluster. The findings are relevant to both the IT clusters and the IT innovation literature as this study sheds light on the role of clusters in improving an organisation’s innovation capabilities through open innovation

    Incorporating Social Presence in the Design of the Anthropomorphic Interface of Recommendation Agents: Insights from an fMRI Study

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    Recommendation agents (RAs) are regularly used in online environments to give consumers advice on products. Since social components of human-like RAs (humanoid avatars) are important components in their adoption and use, this study focuses on how the design of the anthropomorphic interface of RAs in terms of social demographics, namely ethnicity and gender, can enhance the RA’s social presence to facilitate their adoption. Since social presence has been shown in the literature to predict the adoption and use of RAs, we examine whether match or mismatch in terms of the anthropomorphic RA’s ethnicity and gender can enhance the user’s social interaction with an RA. To overcome concerns of social desirability bias and political correctness when users assess the social presence of RAs that vary in their ethnicity and gender, we conducted a functional Magnetic Resonance Imaging (fMRI) study to complement a traditional behavioral experiment. Our goal was to explain prior behavioral findings that showed that ethnicity (as opposed to gender) match is associated with higher social presence, particularly among women. Specifically, brain activity was captured in an fMRI scanner while users who varied on their ethnicity and gender to either match or mismatch the ethnicity and gender of four RAs evaluated each of the RAs on their social presence. Besides contributing to the neuroscience literature by identifying the brain activations that relate to social presence, the fMRI results shed light on the nature of social presence and explain earlier behavioral findings by showing gender differences in the neural correlates of social presence in terms of ethnicity and gender match and mismatch. Implications on designing anthropomorphic interfaces to embody social demographics to enhance social presence are discussed

    Promoting Sustainable Mobility Beliefs with Persuasive and Anthropomorphic Design: Insights from an Experiment with a Conversational Agent

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    Sustainable mobility behavior is increasingly relevant due to the vast environmental impact of current transportation systems. With the growing variety of transportation modes, individual decisions for or against specific mobility options become more and more important and salient beliefs regarding the environmental impact of different modes influence this decision process. While information systems have been recognized for their potential to shape individual beliefs and behavior, design-oriented studies that explore their impact, in particular on environmental beliefs, remain scarce. In this study, we contribute to closing this research gap by designing and evaluating a new type of artifact, a persuasive and human-like conversational agent, in a 2x2 experiment with 225 participants. Drawing on the Theory of Planned Behavior and Social Response Theory, we find empirical support for the influence of persuasive design elements on individual environmental beliefs and discover that anthropomorphic design can contribute to increasing the persuasiveness of artifacts

    Follow Me If You Want to Live - Understanding the Influence of Human-Like Design on Users’ Perception and Intention to Comply with COVID-19 Education Chatbots

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    Following recommendations and complying with behavioral attitudes is one major key in overcoming global pandemics, such as COVID-19. As the World Health Organization (WHO) highlights, there is an increased need to follow hygiene standards to prevent infections and in reducing the risk of infections transmissions (World-Health-Organization, 2021). This urgent need offers new use cases of digital services, such as conversational agents that educate and inform individuals about relevant counter measurements. Specifically, due to the increased fatigue in the population in the context of COVID-19, (Franzen and Wöhner, 2021), CAs can play a vital role in supporting and attaining user’s behavior. We conducted an experiment (n=116) to analyze the effect of a human-like-design CA on the intention to comply. Our results show a significant impact of a human-like design on the perception of humanness, source credibility, and trust, which are all (directly or indirectly) drivers of the intention to comply

    Understanding the Impact that Response Failure has on How Users Perceive Anthropomorphic Conversational Service Agents: Insights from an Online Experiment

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    Conversational agents (CAs) have attracted the interest from organizations due to their potential to provide automated services and the feeling of humanlike interaction. Emerging studies on CAs have found that humanness has a positive impact on customer perception and explored approaches for their anthropomorphic design, which comprises both their appearance and behavior. While these studies provide valuable knowledge on how to design humanlike CAs, we still do not sufficiently understand this technology’s limited conversational capabilities and their potentially detrimental impact on user perception. These limitations often lead to frustrated users and discontinued CAs in practice. We address this gap by investigating the impact of response failure, which we understand a CA’s inability to provide a meaningful reply, in a service context. To do so, we draw on the computers are social actors paradigm and the theory of the uncanny valley. Via an experiment with 169 participants, we found that 1) response failure harmed the extent to which people perceived CAs as human and increased their feelings of uncanniness, 2) humanness (uncanniness) positively (negatively) influenced familiarity and service satisfaction, and 3) the response failure had a significant negative impact on user perception yet did not lead to a sharp drop as the uncanny valley theory posits. Thus, our study contributes to better explaining the impact that text-based CAs’ failure to respond has on customer perception and satisfaction in a service context in relation to the agents’ design
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