학술논문

Strategy Shifting With Multisensorial Cueing: Theoretical Capability of Multitasking Throughput
Document Type
Periodical
Source
IEEE Transactions on Human-Machine Systems IEEE Trans. Human-Mach. Syst. Human-Machine Systems, IEEE Transactions on. 46(1):136-142 Feb, 2016
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Signal Processing and Analysis
Robotics and Control Systems
Power, Energy and Industry Applications
General Topics for Engineers
Computing and Processing
Throughput
Multitasking
Haptic interfaces
Fuels
Monitoring
Measurement
Man machine systems
Auditory cueing
haptic cueing
information theory
throughput capacity
multitasking
Language
ISSN
2168-2291
2168-2305
Abstract
Human multitasking performance is important in many areas, such as defense, medicine, and everyday life. However, multitasking can be difficult to research due to a lack of objective metrics. This gap is remedied by applying information theory-based models to multitasking systems. The human operator informatic model is a throughput model that has been successfully applied to the multiple attribute task battery (MATB) software. In this study, auditory and haptic cueing were applied to the monitoring and targeting components of MATB, respectively. Interestingly, overall information throughput was not significantly affected by the cueing. These results can be traced to a mathematical change in operator strategy. In the presence of multisensory cueing, operators responded at higher information rates to the monitoring and targeting components; however, this came at a proportional cost to the communications and resource components. We propose that each operator has an information throughput capacity—an asymptotic limit to the amount of information he/she can process. This theoretical limit is analogous to the “channel capacity” for single tasking proposed by Miller in 1956.