Start Date
12-13-2015
Description
Effective design of network monitoring dashboard plays a crucial role in maintaining and managing the network operations infrastructure. An efficiently designed dashboard can communicate key information to network administrators, which would help them to solve network issues as quickly as possible. We argue that dashboard design impacts network monitoring performance. We design and evaluate two visualization designs: (i) Author Driven (AD) and (ii) Reader Driven (RD) in the context of network monitoring dashboards. Further, we also propose to evaluate the effect of Augmented Reality (AR) when it is added to the two designs (RD and AD) on network monitoring performance, namely, perceived effort and perceived learning performance. The initial results from the study show that, reader-driven dashboard design performed relatively better than author-driven design in terms of lower perceived effort and higher perceived performance.
Recommended Citation
Krishna, Nithin; Saeed, Khawaja; and Xu, David, "Design and Evaluation of a Network-Monitoring System" (2015). ICIS 2015 Proceedings. 8.
https://aisel.aisnet.org/icis2015/proceedings/HCI/8
Design and Evaluation of a Network-Monitoring System
Effective design of network monitoring dashboard plays a crucial role in maintaining and managing the network operations infrastructure. An efficiently designed dashboard can communicate key information to network administrators, which would help them to solve network issues as quickly as possible. We argue that dashboard design impacts network monitoring performance. We design and evaluate two visualization designs: (i) Author Driven (AD) and (ii) Reader Driven (RD) in the context of network monitoring dashboards. Further, we also propose to evaluate the effect of Augmented Reality (AR) when it is added to the two designs (RD and AD) on network monitoring performance, namely, perceived effort and perceived learning performance. The initial results from the study show that, reader-driven dashboard design performed relatively better than author-driven design in terms of lower perceived effort and higher perceived performance.