This paper investigates the impact of framing and time pressure on human judgment performance in a complex multiattribute judgment task. We focus on the decision process of human participants who must choose between pairwise alternatives in a resource-allocation task. We used the Analytic Hierarchy Process (AHP) to calculate the relative weights of the four alternatives (i.e., C 1 , C 2 , C 3 , and C 4 ) and the judgment consistency. Using the AHP, we examined two sets of hypotheses that address the impact of task conditions on the weight prioritization of choice alternatives and the internal consistency of the judgment behavior under varying task conditions. The experiment simulated the allocation of robotic assets across the battlefield to collect data about an enemy. Participants had to make a judgment about which asset to allocate to a new area by taking into account three criteria related to the likelihood of success. We manipulated the information frame and the nature of the task. We found that, in general, participants gave significantly different weights to the same alternatives under different frames and task conditions. Specifically, in terms of ln-transformed priority weights, participants gave significantly lower weights to C 2 and C 4 and higher weight to C 3 under gain frame than under loss frame, and also, under different task conditions (i.e., Tasks #1, #2, and #3), participants gave significantly higher weight to C 4 in Task #1, lower weights to C 1 and C 4 , higher weight to C 3 in Task #2, and lower weight to C 3 in Task #3. Furthermore, we found that the internal consistency of the decision behavior was worse, first, in the loss frame than the gain frame and, second, under time pressure. Our methodology complements utility-theoretic frameworks by assessing judgment consistency without requiring the use of task-performance outcomes. This work is a step toward establishing a coherence criterion to investigate judgment under naturalistic conditions. The results will be useful for the design of multiattribute interfaces and decision aiding tools for real-time judgments in time-pressured task environments.
In a human-robot communications problem in which a mobile robot and an astronaut are required to work together to maintain network communication, it is possible for the mobile robot and the astronaut to have multiple courses of actions to restore communications if it becomes disrupted. To effectively accomplish a team's mission, a human supervisor responsible for monitoring and supervising the terrestrial activities of mobile robots and astronauts in this domain needs useful decision aiding tools in order to identify productive courses of action. Motivated by this, we propose a visualization framework based on Gibsonian-based fields for representing a mobile robot and an astronaut's possible action strategies to maintain their network communication in a continuous and dynamic environment and for graphically representing bounds on actualized action strategies of the robot and the astronaut based on their possible action strategies. The authors submit that it is not sufficient simply to calculate all the possible actions of the mobile robot and the astronaut. It is equally important to provide interfaces that reveal affordances in the domain in a manner that delineates the length and breadth of action opportunities and human perceptual and physical capabilities. We present a simple conceptualization of the problem of robot-astronaut communication in order to develop a framework for analysis that can be generalized to multiple robots and astronauts communicating to meet multiple objectives.
Link-16 is a very low rate system, so it supports small size of data like tactical message and voice. However, there are related works to transmit situation awareness information like image due to the increasing interest about EBO(Effect-Based Operation), recently. Special TDMA scheduling is needed not static TDMA of for image transmission because image data has much larger size than the existing tactical data. In this paper, we proposed Link-16K which enhances the Link-16 MAC. The proposed Link-16K is compatible with Link-16, and includes dynamic TDMA, new packing method, and an efficient retransmission scheme for image transmission effectively. We can see that image transmission delay is reduced and channel utilization is increased through simulation results of proposed idea.
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