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Leveraging Data Analytics to Support Customization of Inclusive Wearable Devices

Leveraging Data Analytics to Support Customization of Inclusive Wearable Devices
利用数据分析支持包容性可穿戴设备的定制
批准号:
543745-2019
负责人:
Mcarthur, Victoria
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31

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中文摘要
翻译
在这个协作研究项目中,我们将探索使用IBM Watson技术来支持日常使用的可穿戴技术的大规模定制。可穿戴技术或“可穿戴设备”是一种智能电子设备,可以作为配件或植入物佩戴。可穿戴技术有多种应用,包括健康监测、游戏和时尚。可穿戴技术的商业应用大多局限于健康监测(如健身跟踪器)或可访问性。尽管可穿戴技术正变得越来越普遍和负担得起,但可穿戴技术仍有许多改善加拿大人生活的潜在应用尚不清楚。IBM正在调查如何利用Watson来支持日常生活中包容性可穿戴技术的大规模定制。IBM和PI都对可穿戴技术如何支持包容性设计(ID)感兴趣。包容性设计是一种为人类多样性全方位设计技术的方式,超越了对可用性和可获得性的重要关注,还包括与语言、社会经济地位(SES)、文化、性别和年龄相关的用户需求。我们将通过制作可穿戴设备原型和接触不同的用户社区来实现这一点,以探索如何利用Watson来支持能够适应个人用户需求的单一可穿戴设备的设计。
英文摘要
In this collaborative research project, we will explore the use of IBM Watson technology to support the mass-customization of wearable technologies for everyday use. Wearable technologies - or "wearables" - are smart electronic devices that can be worn as accessories or as implants. Wearable technology has a variety of applications including health monitoring, gaming, and fashion. Commercial applications for wearable technologies have been mostly limited to health monitoring (e.g., fitness trackers) or accessibility. Although wearable technologies are becoming more common and affordable, there are still many potential applications for wearables to improve Canadians' lives that are yet unknown. IBM is driven to investigate how Watson could be leveraged to support mass-customization of inclusive, wearable technologies in everyday life. Both IBM and the PI are interested in how wearable technologies can support Inclusive Design (ID). Inclusive Design is a way of designing technologies for the full range of human diversity, expanding beyond the important focus on usability and accessibility to also include considerations of user needs related to language, socio-economic status (SES), culture, gender, and age. We will do so by prototyping wearables and engaging with diverse user communities in order to explore how Watson can be leveraged to support the design of a single wearable that is capable of adapting to an individual users' needs..
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国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 项目类别:
    面上项目
  • 资助金额:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位: