首页> 外文学位 >Factors influencing the adoption of smart wearable devices.
【24h】

Factors influencing the adoption of smart wearable devices.

机译:影响智能穿戴设备采用的因素。

获取原文
获取原文并翻译 | 示例

摘要

This study aims to examine the factors and issues in adoption of smart wearable devices. Wearable devices have many functions to offer which make them very useful in our daily lives. However, factors influencing the adoption of these devices are not well understood. This research explores the inhibiting and contributing factors influencing the adoption of wearable devices by employing the laddering approach. Qualitative data were collected through in-depth interviews using the laddering technique in order to understand these factors. Wearable devices that were examined include the Smart Glass (Google Glass) and the Smart Watch (Sony Smart Watch 3). After the participants had the opportunity to try out these two devices, the factors that are most important to them in deciding whether to adopt or not to adopt these devices were laddered. The use of the laddering technique with the Means-End Chain approach not only offers a greater understanding of the factors influencing the adoption of wearable devices, but also reveal the relationships among these factors and any meaningful associations with self (i.e., the user). This research has advanced our understanding on the adoption of wearable devices and provide some insights into the key design criteria to better fit users' needs.
机译:这项研究旨在研究采用智能可穿戴设备的因素和问题。可穿戴设备具有许多功能,使它们在我们的日常生活中非常有用。但是,影响这些设备采用的因素尚不十分清楚。本研究通过采用阶梯法探索了影响可穿戴设备采用的抑制因素和贡献因素。为了了解这些因素,使用阶梯技术通过深入访谈收集了定性数据。检查过的可穿戴设备包括Smart Glass(谷歌眼镜)和Smart Watch(Sony Smart Watch 3)。在参与者有机会试用这两种设备之后,对他们决定是否采用这两种设备最重要的因素进行了介绍。借助均值-端链方法的阶梯技术不仅可以更好地理解影响可穿戴设备采用的因素,而且还可以揭示这些因素之间的关系以及与自我(即用户)的任何有意义的关联。这项研究提高了我们对采用可穿戴设备的理解,并为关键设计标准提供了一些见识,以更好地满足用户需求。

著录项

  • 作者

    Adapa, Apurva.;

  • 作者单位

    Missouri University of Science and Technology.;

  • 授予单位 Missouri University of Science and Technology.;
  • 学科 Information science.;Information technology.
  • 学位 M.S.
  • 年度 2016
  • 页码 51 p.
  • 总页数 51
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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