A role-based multiple view approach to distributed geo-collaboration

Gregorio Convertino; Dejin Zhao; Craig H. Ganoe; John M. Carroll; Mary Beth Rosson

doi:10.1007/978-3-540-73111-5_64

A role-based multiple view approach to distributed geo-collaboration

Gregorio Convertino, Dejin Zhao, Craig H. Ganoe, John M. Carroll, Mary Beth Rosson

College of Information Sciences and Technology

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

16 Scopus citations

Abstract

We describe a role-based multiple view approach to support sharing and coordination of knowledge in geo-collaborative planning. The software co-ordinates multiple unshared role-specific views with one shared team view. The rationale for this approach is that: (1) it affords clear separation between role-specific and shared knowledge; (2) it leverages experts' knowledge to filter out role-specific details; and (3) it promotes implicit sharing of strategic knowledge (i.e. about roles). We illustrate the key features implemented in a prototype to evaluate this approach, describe design requirements extracted from a paper prototype study, and discuss relevant design issues.

Original language	English (US)
Title of host publication	Human-Computer Interaction
Subtitle of host publication	HCI Intelligent Multimodal Interaction Environments - 12th International Conference, HCI International 2007, Proceedings
Publisher	Springer Verlag
Pages	561-570
Number of pages	10
Edition	PART 4
ISBN (Print)	9783540731092
DOIs	https://doi.org/10.1007/978-3-540-73111-5_64
State	Published - 2007
Event	12th International Conference on Human-Computer Interaction, HCI International 2007 - Beijing, China Duration: Jul 22 2007 → Jul 27 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 4
Volume	4553 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	12th International Conference on Human-Computer Interaction, HCI International 2007
Country/Territory	China
City	Beijing
Period	7/22/07 → 7/27/07

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-540-73111-5_64

Cite this

Convertino, G., Zhao, D., Ganoe, C. H., Carroll, J. M., & Rosson, M. B. (2007). A role-based multiple view approach to distributed geo-collaboration. In Human-Computer Interaction: HCI Intelligent Multimodal Interaction Environments - 12th International Conference, HCI International 2007, Proceedings (PART 4 ed., pp. 561-570). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4553 LNCS, No. PART 4). Springer Verlag. https://doi.org/10.1007/978-3-540-73111-5_64

Convertino, Gregorio ; Zhao, Dejin ; Ganoe, Craig H. et al. / A role-based multiple view approach to distributed geo-collaboration. Human-Computer Interaction: HCI Intelligent Multimodal Interaction Environments - 12th International Conference, HCI International 2007, Proceedings. PART 4. ed. Springer Verlag, 2007. pp. 561-570 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 4).

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abstract = "We describe a role-based multiple view approach to support sharing and coordination of knowledge in geo-collaborative planning. The software co-ordinates multiple unshared role-specific views with one shared team view. The rationale for this approach is that: (1) it affords clear separation between role-specific and shared knowledge; (2) it leverages experts' knowledge to filter out role-specific details; and (3) it promotes implicit sharing of strategic knowledge (i.e. about roles). We illustrate the key features implemented in a prototype to evaluate this approach, describe design requirements extracted from a paper prototype study, and discuss relevant design issues.",

author = "Gregorio Convertino and Dejin Zhao and Ganoe, {Craig H.} and Carroll, {John M.} and Rosson, {Mary Beth}",

year = "2007",

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number = "PART 4",

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Convertino, G, Zhao, D, Ganoe, CH, Carroll, JM & Rosson, MB 2007, A role-based multiple view approach to distributed geo-collaboration. in Human-Computer Interaction: HCI Intelligent Multimodal Interaction Environments - 12th International Conference, HCI International 2007, Proceedings. PART 4 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 4, vol. 4553 LNCS, Springer Verlag, pp. 561-570, 12th International Conference on Human-Computer Interaction, HCI International 2007, Beijing, China, 7/22/07. https://doi.org/10.1007/978-3-540-73111-5_64

A role-based multiple view approach to distributed geo-collaboration. / Convertino, Gregorio; Zhao, Dejin; Ganoe, Craig H. et al.
Human-Computer Interaction: HCI Intelligent Multimodal Interaction Environments - 12th International Conference, HCI International 2007, Proceedings. PART 4. ed. Springer Verlag, 2007. p. 561-570 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4553 LNCS, No. PART 4).

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

TY - GEN

T1 - A role-based multiple view approach to distributed geo-collaboration

AU - Convertino, Gregorio

AU - Zhao, Dejin

AU - Ganoe, Craig H.

AU - Carroll, John M.

AU - Rosson, Mary Beth

PY - 2007

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N2 - We describe a role-based multiple view approach to support sharing and coordination of knowledge in geo-collaborative planning. The software co-ordinates multiple unshared role-specific views with one shared team view. The rationale for this approach is that: (1) it affords clear separation between role-specific and shared knowledge; (2) it leverages experts' knowledge to filter out role-specific details; and (3) it promotes implicit sharing of strategic knowledge (i.e. about roles). We illustrate the key features implemented in a prototype to evaluate this approach, describe design requirements extracted from a paper prototype study, and discuss relevant design issues.

AB - We describe a role-based multiple view approach to support sharing and coordination of knowledge in geo-collaborative planning. The software co-ordinates multiple unshared role-specific views with one shared team view. The rationale for this approach is that: (1) it affords clear separation between role-specific and shared knowledge; (2) it leverages experts' knowledge to filter out role-specific details; and (3) it promotes implicit sharing of strategic knowledge (i.e. about roles). We illustrate the key features implemented in a prototype to evaluate this approach, describe design requirements extracted from a paper prototype study, and discuss relevant design issues.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Convertino G, Zhao D, Ganoe CH, Carroll JM, Rosson MB. A role-based multiple view approach to distributed geo-collaboration. In Human-Computer Interaction: HCI Intelligent Multimodal Interaction Environments - 12th International Conference, HCI International 2007, Proceedings. PART 4 ed. Springer Verlag. 2007. p. 561-570. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 4). doi: 10.1007/978-3-540-73111-5_64

A role-based multiple view approach to distributed geo-collaboration

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