Article

How do users think about ubiquitous computing?

Authors:

Khai N. Truong,

Elaine M. Huang,

Molly M. Stevens,

Gregory D. AbowdAuthors Info & Claims

CHI EA '04: CHI '04 Extended Abstracts on Human Factors in Computing Systems

Pages 1317 - 1320

https://doi.org/10.1145/985921.986053

Published: 24 April 2004 Publication History

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Abstract

As ubiquitous computing technology migrates into the home environment, there has been a concurrent effort to allow users to build and customize such technologies to suit their own specific needs. Many tools have been built to enable users with little or no programming knowledge to build such applications. Despite the de-emphasis on programming, however, these tools are often device-centric, rather than user-centric. In this paper, we investigate how people describe and conceptualize ubiquitous computing applications and technology. We examine how people naturally express ideas for novel applications to build conceptual models upon which to base future interfaces for creating ubiquitous computing applications.

References

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Wang YChen CLai JFu LZhou YZheng Z(2023)A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier DetectionACM Transactions on Knowledge Discovery from Data10.1145/353219117:1(1-20)Online publication date: 15-Mar-2023
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Index Terms

How do users think about ubiquitous computing?
1. Human-centered computing
  1. Interaction design
    1. Interaction design process and methods
      1. Interface design prototyping
      2. User centered design

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CHI EA '04: CHI '04 Extended Abstracts on Human Factors in Computing Systems

April 2004

975 pages

ISBN:1581137036

DOI:10.1145/985921

Conference Chairs:
Elizabeth Dykstra-Erickson
Kinoma
,
Manfred Tscheligi
CURE, Austria

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 24 April 2004

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April 24 - 29, 2004

Vienna, Austria

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https://dl.acm.org/doi/10.1145/3532191
Zhang ZLiu LLi JWu X(2023)Integrating Global and Local Feature Selection for Multi-Label LearningACM Transactions on Knowledge Discovery from Data10.1145/353219017:1(1-37)Online publication date: 20-Feb-2023
https://dl.acm.org/doi/10.1145/3532190
Wang KZhu YLiu HZang TWang C(2023)Learning Aspect-Aware High-Order Representations from Ratings and Reviews for RecommendationACM Transactions on Knowledge Discovery from Data10.1145/353218817:1(1-22)Online publication date: 20-Feb-2023
https://dl.acm.org/doi/10.1145/3532188
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The case for end-user programming of ubiquitous computing environments

Ubiquitous Computing: Are We There Yet?

Learning in Ubiquitous Computing Environments

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