Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Sarah S. Poon

dblp:08/2959 · DBLP profile ↗
← Back
4ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 3 · 1 first-authorSoftware engineering, systems software and programming languages · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
High-performance computing · 100%
Human-computer interaction and pervasive computing
2 papers
Collaborative and social computing · 100%
Software engineering, system software, and programming languages
1 paper
Empirical software engineering · 100%

Topics — the 6 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
High-performance computing › supercomputing
exascale computing
0.212016
Considering Time in Designing Large-Scale Systems for Scientific Computing · CSCW 2016
High-performance computing
scientific computing systems
0.212016
Considering Time in Designing Large-Scale Systems for Scientific Computing · CSCW 2016
Collaborative and social computing › team collaboration
virtual teams
0.112008
Context-linked virtual assistants for distributed teams: an astrophysics case study · CSCW 2008
Collaborative and social computing › team collaboration
scientific collaboration
0.112016
Considering Time in Designing Large-Scale Systems for Scientific Computing · CSCW 2016
Empirical software engineering
developer studies
0.112016
Considering Time in Designing Large-Scale Systems for Scientific Computing · CSCW 2016
Empirical software engineering › qualitative research
ethnographic study
0.112016
Considering Time in Designing Large-Scale Systems for Scientific Computing · CSCW 2016

Methods — techniques the papers use, named apart from their topics

ethnographic study · 0.8interviews · 0.2event log analysis · 0.2case study · 0.2
YearPublicationVenuePosition
2016 Considering Time in Designing Large-Scale Systems for Scientific Computing
abstract
High performance computing (HPC) has driven collaborative science discovery for decades. Exascale computing platforms, currently in the design stage, will be deployed around 2022. The next generation of supercomputers is expected to utilize radically different computational paradigms, necessitating fundamental changes in how the community of scientific users will make the most efficient use of these powerful machines. However, there have been few studies of how scientists work with exascale or close-to-exascale HPC systems. Time as a metaphor is so pervasive in the discussions and valuation of computing within the HPC community that it is worthy of close study. We utilize time as a lens to conduct an ethnographic study of scientists interacting with HPC systems. We build upon recent CSCW work to consider temporal rhythms and collective time within the HPC sociotechnical ecosystem and provide considerations for future system design.
Nan-Chen Chen, Sarah S. Poon, Lavanya Ramakrishnan, Cecilia R. Aragon
CSCW2
2014 Experiences with User-Centered Design for the Tigres Workflow API
abstract
Scientific data volumes have been growing exponentially. This has resulted in the need for new tools that enable users to operate on and analyze data. Cyber infrastructure tools, including workflow tools, that have been developed in the last few years has often fallen short if user needs and suffered from lack of wider adoption. User-centered Design (UCD) process has been used as an effective approach to develop usable software with high adoption rates. However, UCD has largely been applied for user-interfaces and there has been limited work in applying UCD to application program interfaces and cyber infrastructure tools. We use an adapted version of UCD that we refer to as Scientist-Centered Design (SCD) to engage with users in the design and development of Tigres, a workflow application programming interface. Tigres provides a simple set of programming templates (e.g., sequence, parallel, split, merge) that can be can used to compose and execute computational and data transformation pipelines. In this paper, we describe Tigres and discuss our experiences with the use of UCD for the initial development of Tigres. Our experience-to-date is that the UCD process not only resulted in better requirements gathering but also heavily influenced the architecture design and implementation details. User engagement during the development of tools such as Tigres is critical to ensure usability and increase adoption.
Lavanya Ramakrishnan, Sarah S. Poon, Valerie C. Hendrix, Dan Gunter, Gilberto Zonta Pastorello, Deborah A. Agarwal
eScience2
2009 A tale of two online communities: fostering collaboration and creativity in scientists and children
abstract
There has been much recent interest in the development of tools to foster remote collaboration and shared creative work. An open question is: what are the guidelines for this process? What are the key socio-technical preconditions required for a geographically distributed group to collaborate effectively on creative work, and are they different from the conditions of a decade or two ago? In an attempt to answer these questions, we conducted empirical studies of two seemingly very different online communities, both requiring effective collaboration and creative work: an international collaboration of astrophysicists studying supernovae to learn more about the expansion rate of the universe, and a group of children, ages 8-15, from different parts of the world, creating and sharing animated stories and video games on the Scratch online community developed at MIT. Both groups produced creative technical work jointly and were considered successful in their communities. Data included the analysis of thousands of lines from chat and comment logs over a period of several months, and interviews with community members. We discovered some surprising commonalities and some intriguing possibilities, and suggest guidelines for successful creative collaborations. Specifically, systems that support social creativity must facilitate sharing and play, and their design must consider the effects of repurposing, augmentation and behavior adaptation.
Cecilia R. Aragon, Sarah S. Poon, Andrés Monroy-Hernández, Diana Aragon
Creativity & Cognition2
2008 Context-linked virtual assistants for distributed teams: an astrophysics case study
abstract
There is a growing need for distributed teams to analyze complex and dynamic data streams and make critical decisions under time pressure. Via a case study, we discuss potential guidelines for the design of software tools to facilitate such collaborative decision-making. We introduce the term context-linked to characterize systems where both task and context information are included in a shared space. We describe a novel, lightweight, context-linked event notification/virtual assistant system developed to aid a cross-cultural, geographically distributed team of astrophysicists to remotely maneuver a custom-built instrument under challenging operational conditions, where critical decisions must be made in as little as 45 seconds. The system has been in use since 2005 by a major international astrophysics collaboration. We describe the design and implementation of the event notification system and then present a case study, based on event log analysis and user interviews, of its effectiveness in substantially improving user performance during time-critical science tasks. Finally, we discuss the implications of context linking for supporting common ground in distributed teams.
Sarah S. Poon, Rollin C. Thomas, Cecilia R. Aragon
CSCW1