The Sensemaking Process and Leverage Points for Analyst Technology as Identified Through Cognitive Task Analysis
- P. Pirolli
- Computer Science
- 2007
This paper, based on first results from a cognitive task analysis and verbal protocols give a broad brush description of intelligence analysis as an example of sensemaking and suggests some possible leverage points where technology might be applied.
Want to be Retweeted? Large Scale Analytics on Factors Impacting Retweet in Twitter Network
- B. Suh, Lichan Hong, P. Pirolli, Ed H. Chi
- Computer ScienceIEEE Second International Conference on Social…
- 20 August 2010
It is found that, amongst content features, URLs and hashtags have strong relationships with retweetability and the number of followers and followees as well as the age of the account seem to affect retweetability, while, interestingly, thenumber of past tweets does not predict retweetability of a user's tweet.
Information Foraging
- P. Pirolli
- Computer ScienceEncyclopedia of Database Systems
- 2009
Information foraging theory is an approach to understanding how strategies and technologies for information seeking, gathering, and consumption are adapted to the flux of information in the…
The cost structure of sensemaking
- D. Russell, M. Stefik, P. Pirolli, S. Card
- Computer ScienceINTERCHI
- 1 May 1993
This work analyzes sensemaking tasks and develops a model of the cost structure of sensemaking, which has implications for the integrated design of user interfaces, representational tools, and information retrieval systems.
The Structure of Design Problem Spaces
- V. Goel, P. Pirolli
- Computer ScienceCognitive Sciences
- 1 July 1992
There are a set of invariant features in the problem spaces of design situations that collectively constitute a design problem space, according to the claim that there are important generalizations about problem solving in design activity that reach across specific disciplines.
A focus+context technique based on hyperbolic geometry for visualizing large hierarchies
- J. Lamping, R. Rao, P. Pirolli
- Computer ScienceInternational Conference on Human Factors in…
- 1 May 1995
The essence of this scheme is to lay out the hierarchy in a uniform way on a hyperbolic plane an d map this plane onto a circular display region that supports a smooth blending between focus and context, as well as continuous redirection of the focus.
Information foraging in information access environments
- P. Pirolli, S. Card
- Computer ScienceInternational Conference on Human Factors in…
- 1 May 1995
Information foraging theory is an approach to the analysis of human activities involving information access technologies that analyzes trade-offs in the value of information gained against the costs of performing activity in human-computer interaction tasks.
Information Foraging Theory: Adaptive Interaction with Information
- P. Pirolli
- Computer Science
- 12 April 2007
Information Foraging Theory (IFT) is a new theory in Adaptive Information Interaction that is one example of a recent flourish of theories in adaptationist psychology that draw upon evolutionary-ecological theory in biology.
Mining Longest Repeating Subsequences to Predict World Wide Web Surfing
- J. Pitkow, P. Pirolli
- Computer ScienceUSENIX Symposium on Internet Technologies and…
- 11 October 1999
P predictive modeling techniques that attempt to reduce model complexity while retaining predictive accuracy are explored, showing that compared to various Markov models, longest repeating subsequence models are able to significantly reduce model size while retaining the ability to make accurate predictions.
Using information scent to model user information needs and actions and the Web
- Ed H. Chi, P. Pirolli, Kim Chen, J. Pitkow
- Computer ScienceInternational Conference on Human Factors in…
- 1 March 2001
Two computational methods for understanding the relationship between user needs and user actions are described, which use a concept called “information scent”, which is the subjective sense of value and cost of accessing a page based on perceptual cues.
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