THE EFFECT OF FLUENCY ON REVIEW HELPFULNESS: DOES IT DEPEND ON PERSPECTIVE-TAKING?

In this paper, we propose to explore the effects of fluency and perspective-taking on the perceived helpfulness of online product reviews. Past research has suggested that fluency, or ease of information processing, can be used as information when individuals are making various judgments. For example, fluency increases liking. Thus, we predict that fluency can influence perceptions of review helpfulness. Moreover, researchers have found that social distance, or the distinction between self and other, can affect judgment. Specifically, taking other-perspective can reduce feelings in response to disfluency. Therefore, we further predict that a review presented in fluent information will be perceived as more helpful than one in disfluent information when individuals consider a product for themselves, but not when they imagine that another person will purchase the product. To test the theoretical model proposed, we will present a book review in easy- and hard-to-read fonts in Study 1, and prepare another review in high- and low-contrast texts in Study 2. Participants will be instructed to take self- or other-perspective when rating review helpfulness. Our results will indicate the important roles of fluency and perspective-taking in consumer evaluation of online product reviews and provide implications for consumers and online retailers

Evaluating Design Solutions Using Crowds

Crowds can be used to generate and evaluate design solutions. To increase a crowdsourcing system’s effectiveness, we propose and compare two evaluation methods, one using five-point Likert scale rating and the other prediction voting. Our results indicate that although the two evaluation methods correlate, they have different goals: whereas prediction voting focuses evaluators on identifying the very best solutions, the rating focuses evaluators on the entire range of solutions. Thus, prediction voting is appropriate when there are many poor quality solutions that need to be filtered out, and rating is suited when all ideas are reasonable and distinctions need to be made across all solutions. The crowd prefers participating in prediction voting. The results have pragmatic implications, suggesting that evaluation methods should be assigned in relation to the distribution of quality present at each stage of crowdsourcing

Classification results of coronary heart disease database by using the clonal selection method with receptor editing

The clonal selection principle is used to explain the basic features of an adaptive immune response to a antigenic stimulus. It established the idea that only those cells that recognize the antigens are selected to proliferate and differentiate. This paper explains a computational implementation of the clonal selection principle that explicitly takes into account the affinity maturation of the immune response. The clonal selection algorithm by incorporating receptor editing method, RECSA, has been proposed by Gao. This paper tries to classify the medical database of Coronary Heart Disease databases and reports the computational results for 4 kinds of training datasets

Study of magnet rotor type non-contact transformer

Abstract. This paper describes the realization of the magnet rotor type non-contact transformer that is possible to transmit electric power and a torque by non-contact. As for the large air gap as well, this device can transmit electric power and a torque efficiently which compensates for exciting current in the transformer by the permanent magnet flux

The Benefit of Imitating Particular Individuals

Abstract We examined the benefits of different search strategies by testing four computational models. In one model, agents in a group always innovated. The other three models incorporated some mechanisms of imitation. In the second model, each agent imitated the best solution of a random other. In the third model, each agent followed preferential attachment and imitated the best solution of the agent that was asked by many agents. In the fourth model, each agent developed a familiarity with an agent based on how often it asked a certain agent, and imitated this agent. In two simulation studies, following the most popular or the most familiar agent resulted in a good compromise between efficiency and diversity in finding good solutions. People's desire to follow particular individuals may be a key to their adaptive behavior, allowing them to disseminate ideas efficiently while encouraging the exploration of new ideas

The Impact of Phenological Gaps on Leaf Characteristics and Foliage Dynamics of an Understory Dwarf Bamboo, Sasa kurilensis

Phenological gaps exert a significant influence on the growth of dwarf bamboos. However, how dwarf bamboos respond to and exploit these phenological gaps remain enigmatic. The light environment, soil nutrients, leaf morphology, maximum photosynthetic rate, foliage dynamics, and branching characteristics of Sasa kurilensis were examined under the canopies of Fagus crenata and Magnolia obovata. The goal was to elucidate the adaptive responses of S. kurilensis to phenological gaps in the forest understory. The findings suggest that phenological gaps under an M. obovata canopy augment the available biomass of S. kurilensis, enhancing leaf area, leaf thickness, and carbon content per unit area. However, these gaps do not appreciably influence the maximum photosynthetic rate, total leaf number, leaf lifespan, branch number, and average branch length. These findings underscore the significant impact of annually recurring phenological gaps on various aspects of S. kurilensis growth, such as its aboveground biomass, leaf morphology, and leaf biochemical characteristics. It appears that leaf morphology is a pivotal trait in the response of S. kurilensis to phenological gaps. Given the potential ubiquity of the influence of phenological gaps on dwarf bamboos across most deciduous broadleaf forests, this canopy phenomenon should not be overlooked