ABSTRACT
Why do humans attempt to discover better alternatives to solve a problem even when they know the way to solve it? This question is related to the flexibility of thinking and is the subject of studies on the Einstellung effect. This study focuses on cognitive load for familiar trained procedure as a factor that influences the discovery of alternatives in Einstellung situations, where the problem can be solved using a trained procedure. Many studies on creative problem solving and strategy selection demonstrate that cognitive load for facilitates the discovery of alternatives. However, findings are inconsistent regarding Einstellung situations. We argue that the reason for such inconsistent results were the use of manipulations such as the double task, which both load on the trained and alternative procedure and the lack of perspective on efficiency in analysis. Therefore, we examine the relationship between cognitive load manipulated by the complexity of the trained procedure and time-based performance measured by the number of trials prior to finding alternatives. The results illustrate that higher cognitive load increased the efficiency of discovery of alternatives and that this effect was significant for participants with high working memory capacity. This study provides empirical evidence that high cognitive load for trained procedure facilitates the discovery of alternatives and suggests the importance of considering temporal properties, such as efficiency, when examining the effects of working memory on problem solving, which requires cognitive flexibility.
Subject(s)
Memory, Short-Term , Problem Solving , Humans , Cognition , Survival AnalysisABSTRACT
The human ability to flexibly discover alternatives without fixating on a known solution supports a variety of human creative activities. Previous research has shown that people who discover an alternative procedure relax their attentional bias to information regarding the known solutions just prior to the discovery. This study examined whether the difference in the distribution of attention between the finders and non-finders of the alternative procedure is observed from the phase of solving the problem using the trained procedure. We evaluated the characteristics of the finders' distribution of attention in situations where problem solving using a trained procedure was successful. This aspect has been little examined in previous research. Our study obtained empirical evidence for the fact that, compared to non-finders, finders pay more attention to information unrelated to the trained procedure acquired through knowledge and experience, even time when using a trained procedure. We also confirmed that this difference does not exist from the beginning of the task, but emerges during repeated use of familiar procedures. These findings indicate that in order to find an alternative procedure, one should not only divert attention from a familiar procedure just before the discovery but also pay a certain amount of attention to information unrelated to the familiar procedure even when the familiar procedure is functioning well.
ABSTRACT
OBJECTIVE: The objective is to clarify the nature of cooperative moving behavior that realizes smooth traffic with others from the viewpoint of the trade-off between self-benefit and others' benefit in the shared space. BACKGROUND: The shared space is not constrained by formal rules or behavioral norms, and is a potentially ambiguous situation where it is not clear who has priority. Therefore, the nature of cooperative behavior in the shared space is unclear. METHOD: An experimental task was conducted to compare cooperative and nonurgent moving behavior regarding completion time (self-benefit), the amount of interruption (others' benefit), and the amount of operation (cognitive effort). RESULTS: First, cooperative behavior benefits others. Second, although cooperative behavior decreases self-benefit compared to the baseline without any instructions, it can obtain relatively more self-benefit than nonurgent behavior without considering self-benefit. Third, cooperative behavior requires cognitive effort. CONCLUSION: Cooperative behavior provides benefit to both oneself and others by spending cognitive effort in not interrupting others. APPLICATION: If the nature of the cooperative behavior can be clarified, a cooperative module can be implemented into the algorithms of various mobilities.
ABSTRACT
It is important to reveal how humans evaluate an explanation of the recent development of explainable artificial intelligence. So, what makes people feel that one explanation is more likely than another? In the present study, we examine how explanatory virtues affect the process of estimating subjective posterior probability. Through systematically manipulating two virtues, Simplicity-the number of causes used to explain effects-and Scope-the number of effects predicted by causes-in three different conditions, we clarified two points in Experiment 1: (i) that Scope's effect is greater than Simplicity's; and (ii) that these virtues affect the outcome independently. In Experiment 2, we found that instruction about the explanatory structure increased the impact of both virtues' effects but especially that of Simplicity. These results suggest that Scope predominantly affects the estimation of subjective posterior probability, but that, if perspective on the explanatory structure is provided, Simplicity can also affect probability estimation.
ABSTRACT
This paper presents a cognitive model that simulates an adaptation process to automation in a time-critical task. The paper uses a simple tracking task (which represents vehicle operation) to reveal how the reliance on automation changes as the success probabilities of the automatic and manual mode vary. The model was developed by using a cognitive architecture, ACT-R (Adaptive Control of Thought-Rational). We also introduce two methods of reinforcement learning: the summation of rewards over time and a gating mechanism. The model performs this task through productions that manage perception and motor control. The utility values of these productions are updated based on rewards in every perception-action cycle. A run of this model simulated the overall trends of the behavioral data such as the performance (tracking accuracy), the auto use ratio, and the number of switches between the two modes, suggesting some validity of the assumptions made in our model. This work shows how combining different paradigms of cognitive modeling can lead to practical representations and solutions to automation and trust in automation.
ABSTRACT
According to dual process theory, there are two systems in the mind: an intuitive and automatic System 1 and a logical and effortful System 2. While many previous studies about number estimation have focused on simple heuristics and automatic processes, the deliberative System 2 process has not been sufficiently studied. This study focused on the System 2 process for large number estimation. First, we described an estimation process based on participants' verbal reports. The task, corresponding to the problem-solving process, consisted of creating subgoals, retrieving values, and applying operations. Second, we investigated the influence of such deliberative process by System 2 on intuitive estimation by System 1, using anchoring effects. The results of the experiment showed that the System 2 process could mitigate anchoring effects.
Subject(s)
Uncertainty , Humans , Statistics as Topic/methodsABSTRACT
The Remote Associates Test (RAT) is one of the most popular tasks in experimental studies of insight in psychological and neuroscience studies. Since the RAT was originally developed for English-speaking countries, we developed a Japanese version of the RAT. This paper provides a brief overview of the structure of the task based on chunk decomposition using Japanese kanji characters and a list of sets of words as experimental stimuli, with representative data for experimental studies of insight.
