| |
Records |
Links |
|
Author  |
Babajide Osatuyi; David Mendonça |
|
| |
Title |
Requirements for modeling collaborative information foraging behavior: An application to emergency response organizations |
Type |
Conference Article |
| |
Year |
2010 |
Publication |
ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings |
Abbreviated Journal |
ISCRAM 2010 |
|
| |
Volume |
|
Issue |
|
Pages |
|
|
| |
Keywords |
Dynamics; Hardware; Models; Collaborative information; Dynamic process; Emergency response; Extreme environment; Foraging behaviors; Information foraging; Model approach; Model method; Information systems |
|
| |
Abstract |
Collaborative information foraging refers to the collective activities of seeking and handling information in order to meet information needs. This paper delineates requirements for modeling salient factors that shape collaborative information foraging behavior of groups. Existing modeling approaches are assessed based on their adequacy for measuring identified salient factors that shape collaborative information foraging behavior. A view of information foraging behavior as a dynamic process is presented. Consequently, this paper purports that modeling methods employed to aid understanding of foraging behavior must allow for plausible explanation of the inherent dynamism in foraging activities. This work therefore provides an initial roadmap to defining salient factors that need to be addressed in order to adequately model collaborative information foraging behavior within teams that operate in extreme environments. Implications of this work in practice and research are discussed. |
|
| |
Address |
New Jersey Institute of Technology, United States |
|
| |
Corporate Author |
|
Thesis |
|
|
| |
Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Seattle, WA |
Editor |
S. French, B. Tomaszewski, C. Zobel |
|
| |
Language |
English |
Summary Language |
English |
Original Title |
|
|
| |
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
| |
Series Volume |
|
Series Issue |
|
Edition |
|
|
| |
ISSN |
2411-3387 |
ISBN |
|
Medium |
|
|
| |
Track |
Research Methods |
Expedition |
|
Conference |
7th International ISCRAM Conference on Information Systems for Crisis Response and Management |
|
| |
Notes |
|
Approved |
no |
|
| |
Call Number |
|
Serial |
818 |
|
| Share this record to Facebook |
| |
|
| |
|
Author |
Babajide Osatuyi; Michael J. Chumer |
|
| |
Title |
An empirical investigation of alert notifications: A temporal analysis approach |
Type |
Conference Article |
| |
Year |
2010 |
Publication |
ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings |
Abbreviated Journal |
ISCRAM 2010 |
|
| |
Volume |
|
Issue |
|
Pages |
|
|
| |
Keywords |
Social networking (online); Time series analysis; Alert notification; Emergency responders; Empirical investigation; Information and Communication Technologies; Intelligence gathering; Situational awareness; Social Network Sites; Temporal analysis; Information systems |
|
| |
Abstract |
As the deployment of situational awareness mechanisms such as geothermal sensors, use of social network sites, and information and communication technologies (e.g., cell phones) become increasingly widespread to emergency responders, the problem of alert analysis has become very important. Broadcast of large amounts of alerts sent back to command centers for processing may impair the ability of analysts to connect dots that may otherwise adequately enable them to make informed decisions in a timely fashion. This paper investigates trends and patterns embedded in alert notifications generated over a given period of time in order to uncover correlations that may exist in the data. Data for this study are obtained from the National Center for Crisis and Continuity Coordination (NC4). We employ classical time series analysis to understand, explain and predict trends and patterns in the data. This work presents results obtained thus far in the quest for the effect of passage of time on alert patterns. Implications of this work in practice and research are discussed. |
|
| |
Address |
New Jersey Institute of Technology, United States |
|
| |
Corporate Author |
|
Thesis |
|
|
| |
Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Seattle, WA |
Editor |
S. French, B. Tomaszewski, C. Zobel |
|
| |
Language |
English |
Summary Language |
English |
Original Title |
|
|
| |
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
| |
Series Volume |
|
Series Issue |
|
Edition |
|
|
| |
ISSN |
2411-3387 |
ISBN |
|
Medium |
|
|
| |
Track |
Open Track |
Expedition |
|
Conference |
7th International ISCRAM Conference on Information Systems for Crisis Response and Management |
|
| |
Notes |
|
Approved |
no |
|
| |
Call Number |
|
Serial |
817 |
|
| Share this record to Facebook |
