The infrastructure problem in HCI

Edwards, W. Keith; Newman, Mark; Poole, Erika Shehan

doi:10.1145/1753326.1753390

Cited by 54 publications

(40 citation statements)

References 65 publications

(50 reference statements)

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“…For example, Edwards et al [10] explain how infrastructure can preclude certain user experiences, expose technical abstractions to users in undesirable ways, and force users to interact directly with infrastructure to accomplish their goals. Such infrastructural constraints can also be a significant constraint for software teams' ability to change software, forcing them to select undesirable designs because they are not free to change the infrastructure.…”

Section: Related Workmentioning

confidence: 99%

A case study of post-deployment user feedback triage

Lee

Ferrari

et al. 2011

Proceedings of the 4th International Workshop on Cooperative and Human Aspects of Software Engineering

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Many software requirements are identified only after a product is deployed, once users have had a chance to try the software and provide feedback. Unfortunately, addressing such feedback is not always straightforward, even when a team is fully invested in usercentered design. To investigate what constrains a teams evolution decisions, we performed a 6-month field study of a team employing iterative user-centered design methods to the design, deployment and evolution of a web application for a university community. Across interviews with the team, analyses of their bug reports, and further interviews with both users and non-adopters of the application, we found most of the constraints on addressing user feedback emerged from conflicts between users heterogeneous use of information and inflexible assumptions in the team's software architecture derived from earlier user research. These findings highlight the need for new approaches to expressing and validating assumptions from user research as software evolves.

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Section: Related Workmentioning

confidence: 99%

A case study of post-deployment user feedback triage

Lee

Ferrari

et al. 2011

Proceedings of the 4th International Workshop on Cooperative and Human Aspects of Software Engineering

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“…The central goal of NooSphere is to introduce a new intermediate [15] activity-centric infrastructure and programming framework that is aimed at providing a set of fundamental services required to design and deploy distributed interaction systems.…”

Section: Discussionmentioning

confidence: 99%

“…Building different reference applications on top of an infrastructure has been proposed as a robust research method for evaluating infrastructures [14,15]. These applications demonstrate the functionality of the infrastructure and can be used as input for its applicability for supporting application development.…”

Section: Case Studiesmentioning

confidence: 99%

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NooSphere

Houben

Nielsen

Esbensen

et al. 2013

Proceedings of the 12th International Conference on Mobile and Ubiquitous Multimedia

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Distributed interaction is a computing paradigm in which the interaction with a computer system is distributed over multiple devices, users and locations. Designing and developing distributed interaction systems is intrinsically difficult as it requires the engineering of a stable infrastructure to support the actual system and user interface. As an approach to this re-engineering problem, we introduce NooSphere, an activity-centric infrastructure and programming framework that provides a set of fundamental distributed services that enables quick development and deployment of distributed interactive systems. In this paper, we describe the requirements, design and implementation of NooSphere and validate the infrastructure by implementing three canonical real deployable applications constructed on top of the NooSphere infrastructure.

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“…Standards pervade spaces ranging from home networking [12,23], to sustainability [8,9,27], to the development of first responder systems [26,31], supporting (or trying to) the forms of interoperability needed to produce coherent, stable, and extensible technical systems at the margins of complex and variable human environments. Standards also establish points of connection between parts of systems actively designed by HCI researchers and those received from wider worlds of computing, including those structured, for better or for worse, at 'lower' or 'deeper' levels of operation [13].…”

Section: Background and Literature Reviewmentioning

confidence: 99%

Standards and/as Innovation

Jackson

Barbrow

2015

Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

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Standards and protocols play important but under-theorized roles in HCI research and design efforts, including those dedicated to the development of new collaborative infrastructures in the sciences. Building on several years of ethnographic fieldwork, this paper examines standardization efforts attached to new forms of design and computational development in American ecology. We explore the role that standards play in large-scale research networks; how standards are enacted and enforced in complex interactive systems like science; how standards struggle and fail (and what happens when they do); and how actors work across the gaps that standards leave to produce more effective forms of practice and design. We also argue for the potentially creative role of standards, including contexts in which they function as fulcrums for change and innovation. We conclude with reflections on how HCI researchers might rethink the nature and possibilities of standards and standardization in their own work.

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The infrastructure problem in HCI

Cited by 54 publications

References 65 publications

A case study of post-deployment user feedback triage

A case study of post-deployment user feedback triage

NooSphere

Standards and/as Innovation

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