research-article

Interactionist AI and the promise of ubicomp, or, how to put your box in the world without putting the world in your box

Authors:

Phoebe Sengers,

Michael MateasAuthors Info & Claims

UbiComp '08: Proceedings of the 10th international conference on Ubiquitous computing

Pages 134 - 143

https://doi.org/10.1145/1409635.1409654

Published: 21 September 2008 Publication History

Abstract

In many ways, the central problem of ubiquitous computing -- how computational systems can make sense of and respond sensibly to a complex, dynamic environment laden with human meaning -- is identical to that of Artificial Intelligence (AI). Indeed, some of the central challenges that ubicomp currently faces in moving from prototypes that work in restricted environments to the complexity of real-world environments -- e.g. difficulties in scalability, integration, and fully formalizing context -- echo some of the major issues that have challenged AI researchers over the history of their field. In this paper, we explore a key moment in AI's history where researchers grappled directly with these issues, resulting in a variety of novel technical solutions within AI. We critically reflect on six strategies from this history to suggest technical solutions for how to approach the challenge of building real-world, usable solutions in ubicomp today.

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cover image ACM Other conferences

UbiComp '08: Proceedings of the 10th international conference on Ubiquitous computing

September 2008

404 pages

ISBN:9781605581361

DOI:10.1145/1409635

General Chairs:
Hee Yong Youn
Sungkyunkwan University, Korea
,
We-Duke Cho
Ajou University, Korea
,
Program Chairs:
Joe McCarthy,
James Scott,
Woontack Woo

Copyright © 2008 ACM.

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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Published: 21 September 2008

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UbiComp08

UbiComp08: The 10th International Conference on Ubiquitous Computing

September 21 - 24, 2008

Seoul, Korea

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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https://dl.acm.org/doi/10.1145/3491102.3502029
Baumer ESiedel DMcDonnell LZhong JSittikul PMcGee M(2020)Topicalizer: reframing core concepts in machine learning visualization by co-designing for interpretivist scholarshipHuman–Computer Interaction10.1080/07370024.2020.173446035:5-6(452-480)Online publication date: 27-Apr-2020
https://doi.org/10.1080/07370024.2020.1734460
Howell NChuang JDe Kosnik ANiemeyer GRyokai K(2018)Emotional BiosensingProceedings of the ACM on Human-Computer Interaction10.1145/32743382:CSCW(1-25)Online publication date: 1-Nov-2018
https://dl.acm.org/doi/10.1145/3274338
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