InfoStar: An adaptive visual analytics platform for mobile devices

Antonio Sanfilippo; Richard May; Gary Danielson; Bob Baddeley; Rick Riensche; Skip Kirby; Sharon Collins; Susan Thornton; Kenneth Washington; Matt Schrager; Jamie Van Randwyk; Bob Borchers; Doug Gatchell

doi:10.1109/SC.2005.10

InfoStar: An adaptive visual analytics platform for mobile devices

Antonio Sanfilippo^*, Richard May, Gary Danielson, Bob Baddeley, Rick Riensche, Skip Kirby, Sharon Collins, Susan Thornton, Kenneth Washington, Matt Schrager, Jamie Van Randwyk, Bob Borchers, Doug Gatchell

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

11 Citations (Scopus)

Abstract

We present the design and implementation of InfoStar, an adaptive visual analytics platform for mobile devices such as PDAs, laptops, Tablet PCs and mobile phones, InfoStar extends the reach of visual analytics technology beyond the traditional desktop paradigm to provide ubiquitous access to interactive visualizations of information spaces. These visualizations are critical in addressing the knowledge needs of human agents operating in the field, in areas as diverse as business, homeland security, law enforcement, protective services, emergency medical services and scientific discovery. We describe an initial real world deployment of this technology, in which the InfoStar platform has been used to offer mobile access to scheduling and venue information to conference attendees at Supercomputing 2004.

Original language	English
Title of host publication	Proceedings - Thirteenth International Symposium on Temporal Representation and Reasoning, TIME 2006
DOIs	https://doi.org/10.1109/SC.2005.10
Publication status	Published - 2005
Externally published	Yes
Event	ACM/IEEE 2005 Supercomputing Conference, SC'05 - Seatle, WA, United States Duration: 12 Nov 2005 → 18 Nov 2005

Publication series

Name	Proceedings of the ACM/IEEE 2005 Supercomputing Conference, SC'05
Volume	2005

Conference

Conference	ACM/IEEE 2005 Supercomputing Conference, SC'05
Country/Territory	United States
City	Seatle, WA
Period	12/11/05 → 18/11/05

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10.1109/SC.2005.10

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Sanfilippo, A., May, R., Danielson, G., Baddeley, B., Riensche, R., Kirby, S., Collins, S., Thornton, S., Washington, K., Schrager, M., Van Randwyk, J., Borchers, B., & Gatchell, D. (2005). InfoStar: An adaptive visual analytics platform for mobile devices. In Proceedings - Thirteenth International Symposium on Temporal Representation and Reasoning, TIME 2006 Article 1560026 (Proceedings of the ACM/IEEE 2005 Supercomputing Conference, SC'05; Vol. 2005). https://doi.org/10.1109/SC.2005.10

@inproceedings{52960a45e8674fe2a576c0b2648cf885,

title = "InfoStar: An adaptive visual analytics platform for mobile devices",

abstract = "We present the design and implementation of InfoStar, an adaptive visual analytics platform for mobile devices such as PDAs, laptops, Tablet PCs and mobile phones, InfoStar extends the reach of visual analytics technology beyond the traditional desktop paradigm to provide ubiquitous access to interactive visualizations of information spaces. These visualizations are critical in addressing the knowledge needs of human agents operating in the field, in areas as diverse as business, homeland security, law enforcement, protective services, emergency medical services and scientific discovery. We describe an initial real world deployment of this technology, in which the InfoStar platform has been used to offer mobile access to scheduling and venue information to conference attendees at Supercomputing 2004.",

author = "Antonio Sanfilippo and Richard May and Gary Danielson and Bob Baddeley and Rick Riensche and Skip Kirby and Sharon Collins and Susan Thornton and Kenneth Washington and Matt Schrager and \{Van Randwyk\}, Jamie and Bob Borchers and Doug Gatchell",

note = "Publisher Copyright: {\textcopyright} 2005 IEEE.; ACM/IEEE 2005 Supercomputing Conference, SC'05 ; Conference date: 12-11-2005 Through 18-11-2005",

year = "2005",

doi = "10.1109/SC.2005.10",

language = "English",

isbn = "1595930612",

series = "Proceedings of the ACM/IEEE 2005 Supercomputing Conference, SC'05",

booktitle = "Proceedings - Thirteenth International Symposium on Temporal Representation and Reasoning, TIME 2006",

}

Sanfilippo, A, May, R, Danielson, G, Baddeley, B, Riensche, R, Kirby, S, Collins, S, Thornton, S, Washington, K, Schrager, M, Van Randwyk, J, Borchers, B & Gatchell, D 2005, InfoStar: An adaptive visual analytics platform for mobile devices. in Proceedings - Thirteenth International Symposium on Temporal Representation and Reasoning, TIME 2006., 1560026, Proceedings of the ACM/IEEE 2005 Supercomputing Conference, SC'05, vol. 2005, ACM/IEEE 2005 Supercomputing Conference, SC'05, Seatle, WA, United States, 12/11/05. https://doi.org/10.1109/SC.2005.10

InfoStar: An adaptive visual analytics platform for mobile devices. / Sanfilippo, Antonio; May, Richard; Danielson, Gary et al.
Proceedings - Thirteenth International Symposium on Temporal Representation and Reasoning, TIME 2006. 2005. 1560026 (Proceedings of the ACM/IEEE 2005 Supercomputing Conference, SC'05; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - InfoStar

T2 - ACM/IEEE 2005 Supercomputing Conference, SC'05

AU - Sanfilippo, Antonio

AU - May, Richard

AU - Danielson, Gary

AU - Baddeley, Bob

AU - Riensche, Rick

AU - Kirby, Skip

AU - Collins, Sharon

AU - Thornton, Susan

AU - Washington, Kenneth

AU - Schrager, Matt

AU - Van Randwyk, Jamie

AU - Borchers, Bob

AU - Gatchell, Doug

PY - 2005

Y1 - 2005

N2 - We present the design and implementation of InfoStar, an adaptive visual analytics platform for mobile devices such as PDAs, laptops, Tablet PCs and mobile phones, InfoStar extends the reach of visual analytics technology beyond the traditional desktop paradigm to provide ubiquitous access to interactive visualizations of information spaces. These visualizations are critical in addressing the knowledge needs of human agents operating in the field, in areas as diverse as business, homeland security, law enforcement, protective services, emergency medical services and scientific discovery. We describe an initial real world deployment of this technology, in which the InfoStar platform has been used to offer mobile access to scheduling and venue information to conference attendees at Supercomputing 2004.

AB - We present the design and implementation of InfoStar, an adaptive visual analytics platform for mobile devices such as PDAs, laptops, Tablet PCs and mobile phones, InfoStar extends the reach of visual analytics technology beyond the traditional desktop paradigm to provide ubiquitous access to interactive visualizations of information spaces. These visualizations are critical in addressing the knowledge needs of human agents operating in the field, in areas as diverse as business, homeland security, law enforcement, protective services, emergency medical services and scientific discovery. We describe an initial real world deployment of this technology, in which the InfoStar platform has been used to offer mobile access to scheduling and venue information to conference attendees at Supercomputing 2004.

UR - https://www.scopus.com/pages/publications/33845408569

U2 - 10.1109/SC.2005.10

DO - 10.1109/SC.2005.10

M3 - Conference contribution

AN - SCOPUS:33845408569

SN - 1595930612

SN - 9781595930613

T3 - Proceedings of the ACM/IEEE 2005 Supercomputing Conference, SC'05

BT - Proceedings - Thirteenth International Symposium on Temporal Representation and Reasoning, TIME 2006

Y2 - 12 November 2005 through 18 November 2005

ER -

InfoStar: An adaptive visual analytics platform for mobile devices

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