查看更多>>摘要:Conversational technologies have become increasingly prevalent, with interactions becoming more and more personalized. This paper reviews literature on the phenomenon of self-disclosure to conversational technologies. Five types of factors emerge as influencing self-disclosure: interface modality, conversational factors, user characteristics, mediating mechanisms, and contextual factors. We describe each type of factor, cover findings from the literature, present the framework of factors influencing self-disclosure that thus emerges, and put forth pertinent questions for future research on self-disclosure to conversational technologies.
查看更多>>摘要:One of the essential aspects of chatbot management is user retention, which is a consequence of good service provision. In order to reach this goal, there needs to be a well-thought-out conversational design. This process involves everything from understanding the domain to designing and conceiving how the conversations between machine and user can develop, aiming for greater acceptance of the chatbot through the most spontaneous and natural dialog possible. Related literature on general design revealed that personal experiences affect software design decisions. This work aims to evaluate how participants' built-up perceptions and experiences with chatbots and their previous experiences assuming specific positions in a software development team influence their adoption of conversational guidelines proposed by a guide. Invited practitioners were asked to develop conversations without and with the conversational guidelines, and then they were interviewed about this process. We ran objective, narrative, and thematic analyses on interview transcripts and participants' conversations. Most participants had negative experiences with chatbots, which greatly influenced how they viewed some guidelines. Furthermore, their experiences in specific software development positions also influenced their design and adoption of guidelines. Results revealed that personal experience is a significant moderating variable in conversational design. This work's main contribution is providing knowledge on how practitioners enter the world of chatbot design and what concerns should exist in preparing introductory material considering their personal experiences.
查看更多>>摘要:Privacy research demonstrates a dichotomy between what individuals describe as their level of concern and the protective behaviors they exhibit. We posit this dichotomy or "privacy paradox" is impacted by a feeling of hopelessness regarding an individual's ability to protect their personal information. Younger generations have experienced all of life on social networks and much of their private information has been online since before they made individual informed privacy decisions. We evaluate the proposed research model using a survey method targeted primarily at a younger population. This research demonstrates the initial impact of hopelessness on privacy concern and also exhibits the impact of privacy awareness and perceived control. Our findings indicate that a strong antecedent to privacy concern is the feeling there is nothing we can do to protect our privacy. We contribute to the ongoing privacy research stream by incorporating this concept from psychology into a privacy concern model.