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Activity-based Ubicomp: a new research basis for the future of human-computer interaction

Published: 08 November 2010 Publication History

Abstract

Ubiquitous computing (Ubicomp) is bringing computing off the desktop and into our everyday lives. For example, an interactive display can be used by the family of an elder to stay in constant touch with the elder's everyday wellbeing, or by a group to visualize and share information about exercise and fitness. Mobile sensors, networks, and displays are proliferating worldwide in mobile phones, enabling this new wave of applications that are intimate with the user's physical world. In addition to being ubiquitous, these applications share a focus on high-level activities, which are long-term social processes that take place in multiple environments and are supported by complex computation and inference of sensor data. However, the promise of this Activity-based Ubicomp is unfulfilled, primarily due to methodological, design, and tool limitations in how we understand the dynamics of activities. The traditional cognitive psychology basis for human-computer interaction, which focuses on our short term interactions with technological artifacts, is insufficient for achieving the promise of Activity-based Ubicomp. We are developing design methodologies and tools, as well as activity recognition technologies, to both demonstrate the potential of Activity-based Ubicomp as well as to support designers in fruitfully creating these types of applications.

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    cover image ACM Conferences
    ICMI-MLMI '10: International Conference on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction
    November 2010
    311 pages
    ISBN:9781450304146
    DOI:10.1145/1891903
    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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    New York, NY, United States

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    Published: 08 November 2010

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    ICMI-MLMI '10 Paper Acceptance Rate 41 of 100 submissions, 41%;
    Overall Acceptance Rate 453 of 1,080 submissions, 42%

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