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The drivers' faults on cognition, decision-making, and operation are considered as important factors that lead to traffic accidents in the progress of reading signs. However, the mechanism of driver's cognitive processes and decision making with the high driving workload in a complex environment are still unclear, and the prevention of accident is not efficiency. This paper aims to identify the cognitive...
In recent decades the aging of the population has led to a change in the health field with special attention to the issue of home care and e-health. The aim is to provide different types of health care services to the patient's home rather than in hospital so improving the quality of life of patients by allowing them to stay in their own home environment. The healthcare sector is undergoing profound...
Spatial cognition is an important branch of cognition science and also very common in our daily life when people work together. In terms of human-robot spatial cognition interaction, it would be dramatic if the robot could interact with people like a human. So we designed an intelligent robot which could communicate with people in natural language and think on the human's perspective in spatial cognition...
This paper describes the acceleration of the declarative knowledge retrieval system of a cognitive architecture, namely ACT-R. The core of ACT-R's retrieval mechanism, activation calculation, is accelerated through leveraging the speed of C++ and the MapReduce program model. Work described in this paper represents an extension of previous Erlang-based concurrent activation. ACT-R's retrieval process...
In recent years, there has been significant interest in general theories of software engineering. In this article, we explore the utility of a theory of cognition, ACT-R, as a component of such a general theory. The ACT-R theory was instantiated to predict the effort of programming language comprehension for two cases: (i) a C program, and (ii) the corresponding Assembly program. An experiment was...
This paper briefly introduces the effort focused on developing an integrated cognitive model of the manual RVD task in the ACT-R cognitive architecture. The descriptions about the manual RVD task and ACT-R have been shown and preliminary analysis of the control strategies has also been made. The comparison results of the performance between human operators and the cognitive model show that the control...
Contextual information can greatly improve both the speed and accuracy of object recognition. Context is most often viewed as a static concept, learned from large image databases. We build upon this concept by exploring cognitive context, demonstrating how rich dynamic context provided by computational cognitive models can improve object recognition. We demonstrate the use cognitive context to improve...
Loyal customers are important for any company, and how to cultivate their loyalty by marketing tactics such as price, relation, promotion and etc. is crucial. We establish a consumer cognitive simulation model based on ACT-R cognitive framework to research the influence of price stability on consumer loyalty in this paper. The model uses three variables price stability, price, and the urgency of the...
Power set construction and its variants to eliminate "dead", "unreachable" states have been the prevalent methods of minimization from Non-Deterministic Finite Automata to Deterministic Finite Automata. The drawbacks for these were the lack of adaptive improvements into the minimization process. The adaptation by means of cognitive models - perception, reasoning and decision-making...
We present a novel approach to User Interface optimization. A Genetic Algorithm is used to evolve an interface layout to minimize user task times. Solutions are evaluated using the cognitive architecture - Active Control of Thought - Rational (ACT-R) to simulate the human cognition and motor action required to complete the task. A development environment, TOISE, has been created to integrate the GALib...
This paper describes a practicing method for enhancing driver performance, which it bases on cognitive driver behavior model of ACT-R--a dominant theory of human cognitive architecture. First, the paper elaborates the idea of driver behavior modeling in cognitive architecture. And then, it dedicates the implementation of driver's practice courses based on the cognitive architecture model. Finally,...
We describe a computational cognitive architecture for robots which we call ACT-R/E (ACT-R/Embodied). ACT-R/E is based on ACT-R [1, 2] but uses different visual, auditory, and movement modules. We describe a model that uses ACT-R/E to integrate visual and auditory information to perform conversation tracking in a dynamic environment. We also performed an empirical evaluation study which shows that...
In order to process multitasking driver behavior effectively, an improved driver cognitive behavior modeling method of ACT-R is proposed in this paper. The manual module and visual module of ACT-R are concatenated directly to cope with human subconscious/unconscious behavior. A parallel processing method is proposed to mimic the parallel reactions style of a given cerebral area of human brain's reaction...
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