The cost structure of sensemaking

Russell, Daniel M.; Stefik, Mark; Pirolli, Peter; Card, Stuart K.

doi:10.1145/169059.169209

Cited by 493 publications

(457 citation statements)

References 5 publications

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“…Theme Development Disruption New Theme fits Russell et al's [27] view of sensemaking as a series of iterative loops. Each theme represents another loop, a further development in the collective sensemaking process.…”

Section: Discussionmentioning

confidence: 87%

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Geographically Distributed Sensemaking: Developing Understanding in Forum-Based Software Development Teams

Shreeve¹,

Ralph²,

Sawyer³

et al. 2015

2015 IEEE/ACM 8th International Workshop on Cooperative and Human Aspects of Software Engineering

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Section: Discussionmentioning

confidence: 87%

“…Russell et al [27] introduces the notion that sensemaking consists of a series of iterative loops. Each loop represents the understanding at a specific time-place.…”

Section: B Sensemakingmentioning

confidence: 99%

Geographically Distributed Sensemaking: Developing Understanding in Forum-Based Software Development Teams

Shreeve¹,

Ralph²,

Sawyer³

et al. 2015

2015 IEEE/ACM 8th International Workshop on Cooperative and Human Aspects of Software Engineering

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“…Schön's quotation raises suggests the construct Sensemaking, which is found in management (Weick 1995;Weick et al 2005), knowledge management (Dervin 1998) and human-computer interaction (Furnas and Russell 2005;Russell et al 1993). Sensemaking is simply "what people do to make sense of the information in their world" (Furnas and Russell 2005, p. 1).…”

Section: Theoretical Justification Of Scimentioning

confidence: 99%

The Sensemaking-Coevolution-Implementation Theory of software design

Ralph

2015

Science of Computer Programming

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Understanding software design practice is critical to understanding modern information systems development. New developments in empirical software engineering, information systems design science and the interdisciplinary design literature combined with recent advances in process theory and testability have created a situation ripe for innovation. Consequently, this paper utilizes these breakthroughs to formulate a process theory of software design practice: SensemakingCoevolution-Implementation Theory explains how complex software systems are created by collocated software development teams in organizations. It posits that an independent agent (design team) creates a software system by alternating between three activities: organizing their perceptions about the context, mutually refining their understandings of the context and design space, and manifesting their understanding of the design space in a technological artifact. This theory development paper defines and illustrates Sensemaking-Coevolution-Implementation Theory, grounds its concepts and relationships in existing literature, conceptually evaluates the theory and situates it in the broader context of information systems development.

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“…Graph sensemaking refers to the iterative process of understanding and making sense out of graph-formatted data, where a user gradually builds up a representation of the information space to achieve the user's goal [38].…”

Section: A Graph Sensemakingmentioning

confidence: 99%

“…They include Russell et al's cost structure view [38], Dervin's sensemaking methodology [39], Klein et al's data-frame model [40], and the notional model by Pirolli and Card [41]. While their details may differ, they generally agree that sensemaking is a dynamic, iterative process that involves tasks such as searching, filtering, organizing information, creating schemas, and building evidence.…”

Section: A Graph Sensemakingmentioning

confidence: 99%

Scalable graph exploration and visualization: Sensemaking challenges and opportunities

Pienta

Abello

Kahng

et al. 2015

2015 International Conference on Big Data and Smart Computing (BIGCOMP)

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Abstract-Making sense of large graph datasets is a fundamental and challenging process that advances science, education and technology. We survey research on graph exploration and visualization approaches aimed at addressing this challenge. Different from existing surveys, our investigation highlights approaches that have strong potential in handling large graphs, algorithmically, visually, or interactively; we also explicitly connect relevant works from multiple research fields -data mining, machine learning, human-computer ineraction, information visualization, information retrieval, and recommender systems -to underline their parallel and complementary contributions to graph sensemaking.We ground our discussion in sensemaking research; we propose a new graph sensemaking hierarchy that categorizes tools and techniques based on how they operate on the graph data (e.g., local vs global). We summarize and compare their strengths and weaknesses, and highlight open challenges. We conclude with future research directions for graph sensemaking.

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The cost structure of sensemaking

Cited by 493 publications

References 5 publications

Geographically Distributed Sensemaking: Developing Understanding in Forum-Based Software Development Teams

Geographically Distributed Sensemaking: Developing Understanding in Forum-Based Software Development Teams

The Sensemaking-Coevolution-Implementation Theory of software design

Scalable graph exploration and visualization: Sensemaking challenges and opportunities

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