Forty chromatic colors, R, YR, Y, GY, G, BG, B, PB, P, and RP hues of various tones were rated by three different groups of female college students (N=46, 50, and 87) in different years on five Osgood-type Semantic Differential 7-point scales. The group averages of ratings on each scale for these single colors in the first two groups were analyzed separately using multiple regression formulae. High partial regression coefficients of determination (0.70–0.87) were obtained in both groups. These two results were analyzed on two orthogonal scales, the 5R-5BG metrical and Y–PB non-metrical scales, according to the opponent color theory. The analysis indicated that colors were felt to be more sporty and more favorable as the Munsell Hues approached BG on the former scale, and more noisy and more favorable in the P–B side than the Y–G side on the latter scale. The validity of the obtained formula was supported by the results of the third group.
Big time-series data have been generated in various applications including sensor networks, financial systems, online documents, medical information, web access records, social networking services, etc. How can we efficiently and effectively find typical patterns? How can we statistically summarize all the sequences, and achieve a meaningful segmentation? What are the major tools for forecasting and outlier detection? This paper summarizes our recent work, which includes: SpikeM that analyzes the rise and fall patterns of influence propagation in social networking services, TriMine for fast mining and forecasting of complex time-stamped events, AutoPlait for automatic mining of co-evolving multidimensional time sequences, EcoWeb as ecology-inspired nonlinear dynamical systems for pattern extraction from online activities, FUNNEL for automatic mining of spatially co-evolving epidemics, CompCube for non-linear mining of competing local activities, and RegimeCast for real-time forecasting of data streams.
We propose a method to solve problems that are difficult to solve only from engineering knowledge by using phenomena modeled in psychology fields such as “sensory-motor loop” and “sensory-perception mechanism.” We will be explained, a method to induce behavior without paying attention by the vestibular electric stimulation method that causes a physical response despite unconscious stimulation. And, a method of communicating/learning nonverbal skills by causing the body response under consciousness by synthesizing and switching first-person visual stimuli. The last, A highly realistic stereoscopic display method that makes it possible to significantly lower the cost of the apparatus than conventional methods by adding parallax to multi slit view.
In practice, it is difficult to estimate cognitive functions owing to the location and lack of tools for measurement. Therefore, it is restricted to the use of items on cognitive function that we are able to investigate. Multiple application software can be installed on a tablet-computer. Therefore, it could be a useful tool for assessing cognitive function without depending on the measurement environment. In this review, we examined psychological studies that used a tablet-computer to assess cognitive functions in the workplace. Additionally, we discussed the usability of a tablet-computer as a tool for assessing cognitive function in various environments.
Brief introduction about current trends in deep learning was intended, including such as convolutional neural networks, and regions with convolutional neural networks. They have features as end-to-end, general purposes, and implementable based on recent advances in computer science. Object recognition of convolutional neural networks overwhelmed human performance. This tidal wave might give deep impact on all the areas in psychology.
This article reviews recent literature on basic animal research and theories of reemergence phenomena of formerly established and then extinguished Pavlovian conditioned responses. Four types of response reemergence phenomena are discussed; renewal of responses by changing contexts, spontaneous recovery of responses after the passage of time, reinstatement of responses after re-exposure to the biologically significant stimulus (i.e., unconditioned stimulus, US), and reacquisition of responses by re-pairing of the cue (i.e., conditioned stimulus, CS) and the US. Preventive measures against these reemergence phenomena and their clinical implications for relapse of anxiety symptoms (i.e., return of fear) are also discussed to bridge basic and applied disciplines of psychology.
This note is a short report on the activity of the Young Researchers Committee of the Japanese Psychonomic Society (JPS) in 2016. As the highlighted activity of the committee in 2016, we held the satellite oral session of the 35th annual meeting of JPS. Eight young researchers were selected as the finalists from 17 entries and made presentations on their studies that have already been published in peer-reviewed journals. One of the finalists who got the most votes from audience was awarded as the Young Psychonomic Scientist of the Year 2016.