Open Access. Powered by Scholars. Published by Universities.®
Operations Research, Systems Engineering and Industrial Engineering Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Considering Etiquette In The Design Of An Adaptive System, Michael C. Dorneich, Patricia May Ververs, Santosh Mathan, Stephen Whitlow, Caroline C. Hayes
Considering Etiquette In The Design Of An Adaptive System, Michael C. Dorneich, Patricia May Ververs, Santosh Mathan, Stephen Whitlow, Caroline C. Hayes
Michael C. Dorneich
In this article, the authors empirically assess the costs and benefits of designing an adaptive system to follow social conventions regarding the appropriateness of interruptions. Interruption management is one area within the larger topic of automation etiquette. The authors tested these concepts in an outdoor environment using the Communications Scheduler, a wearable adaptive system that classifies users' cognitive state via brain and heart sensors and adapts its interactions. Designed to help dismounted soldiers, it manages communications in much the same way as a good administrative assistant. Depending on a combination of message priority, user workload, and system state, it decides …
Towards A Characterization Of Adaptive Systems: A Framework For Researchers And System Designers, Karen M. Feigh, Michael C. Dorneich, Caroline C. Hayes
Towards A Characterization Of Adaptive Systems: A Framework For Researchers And System Designers, Karen M. Feigh, Michael C. Dorneich, Caroline C. Hayes
Michael C. Dorneich
Objective: This paper presents a systematic framework characterizing adaptive systems. Background: Adaptive systems are those which can appropriately modify their behavior to fit the current context. This concept is appealing because it offers the possibility of creating computer assistants that behave like good human assistants who can provide what is needed without being asked. However, the majority of adaptive systems have been experimental rather than practical because of the technical challenges in accurately perceiving and interpreting users’ current cognitive state; integrating cognitive state, environment and task information; and using it to predict users’ current needs. We anticipate that recent developments …