• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of systems and information technology >Role of interaction quality and trust in use of Al-based voice-assistant systems
【24h】

Role of interaction quality and trust in use of Al-based voice-assistant systems

机译：交互质量和信任在使用基于al的语音辅助系统的作用

获取原文
获取原文并翻译 | 示例
       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Purpose - The rapid growth of artificial intelligence (AI)-based voice-assistant systems (VASs) has created many opportunities for individuals to use VASs for various purposes in their daily lives. However, traditional quality success factors, such as information quality and system quality, may not be sufficient in explaining the adoption and use of AI-based VASs. This study aims to propose interaction quality as an additional, yet more important quality measure that leads to trust in an AI-based VAS and its adoption. Design/methodology/approach - The authors propose a research model that highlights the importance of interaction quality and trust as underlying mechanisms in the adoption of AI-based VASs. Based on survey methodology and data from 221 respondents, the proposed research model is tested with a partial least squares approach. Findings - The results suggest that interaction quality and trust are critical factors influencing the adoption of AI-based VASs. The findings also indicate that the impacts of traditional quality factors (i.e. information quality and system quality) occur through interaction quality in the context of AI-based VASs. Originality/value - This research adds interaction quality as a new quality factor to the traditional quality factors in the information systems success model. Further, given the interactive nature of VASs, the authors use social response theory to explain the importance of the trust mechanism when individuals interact with Al-based VASs.
机译：目的 - 基于人工智能的快速增长（AI）的语音助手系统（VASS）为个人创造了许多机会，以便在日常生活中为各种目的使用VASS。然而，传统的质量成功因素，如信息质量和系统质量，可能在解释基于AI的差分的采用和使用时可能不足以。本研究旨在提出互动质量作为额外的，更重要的质量措施，导致信任基于AI的VAS及其采用。设计/方法/方法 - 作者提出了一项研究模型，突出了互动质量和信任作为采用基于AI的宽容的基础机制的重要性。根据221名受访者的调查方法和数据，拟议的研究模型用部分最小二乘法进行测试。结果 - 结果表明，互动质量和信任是影响基于AI的偏差的关键因素。调查结果还表明，通过基于AI的偏差的背景下的相互作用质量，传统质量因素（即信息质量和系统质量）的影响。原创性/值 - 本研究将交互质量添加为信息系统成功模型中传统质量因素的新品质因素。此外，鉴于偏差的互动性质，作者使用社会反应理论来解释当个人与基于al的偏差互动时的信任机制的重要性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号