10 research outputs found

    Technology Personalization in Health Applications for Patients with Autism Spectrum Disorder: Artifact Design and a Controlled Experiment

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    This study will examine the design of speech conversion techniques to create a personalized voice alert system to improve user compliance and reduce wandering among individuals with autistic spectrum disorder (ASD). Using a controlled experiment with ASD patients, we will evaluate our proposed design feature under different conditions of technological familiarity and disease severity

    Distrust in the Balance: The Emergence and Development of Intergroup Distrust in a Court of Law

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    Despite recent attention to trust, comparatively little is known about distrust as distinct from trust. In this paper, we drew on case study data of a reorganized court of law, where intergroup distrust had grown between judges and administrators, to develop a dynamic theory of distrust. We used insights from the literatures on distrust, conflict escalation, and professional-organization relations to guide the analysis of our case data. Our research is consistent with insights on distrust previously postulated, but we were able to extend and make more precise the perceptions and behaviors that make up the elements of the self-amplifying cycle of distrust development, how these elements are related, and the mechanisms of amplification that drive the cycle. To help guide and focus future research, we modeled the process by which distrust emerges and develops, and we drew inferences on how it can be repaired.</p

    Forming an intention to act on recommendations given via online social networks

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    Online social networks (OSN) are technology-enabled relationship tools in which a user creates a profile, connects to other individuals, and shares user-generated content with them. One of the many features OSN offer is the ability to post messages in the form of product and service recommendations. Although word-of-mouth research has examined this type of personal communication to intentionally influence consumer decisions, limited understanding exists regarding when a user acts upon a recommendation received from one of their contacts. In this study, we draw on relationship theories and research on trust to analyze the impact relationship characteristics and behaviors of the OSN contacts have on trust in the recommendation that subsequently leads a user to act on this OSN contact’s recommendation. The results of a survey of 116 OSN users showed that closeness, excessive posting behavior, and past recommendation experience have a positive impact on trust and intention to act on the recommendation. One characteristic of the relationships, that is, similarity, however, does not affect recommendation trust in the context of OSN. The findings enhance our understanding of relationships and their defining characteristics in OSN. The results also provide insights into how companies might leverage OSN in their marketing efforts
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