The color of odors.

The interaction between the vision of colors and odor determination is investigated through lexical analysis of experts' wine tasting comments. The analysis shows that the odors of a wine are, for the most part, represented by objects that have the color of the wine. The assumption of the existence of a perceptual illusion between odor and color is confirmed by a psychophysical experiment. A white wine artificially colored red with an odorless dye was olfactory described as a red wine by a panel of 54 tasters. Hence, because of the visual information, the tasters discounted the olfactory information. Together with recent psychophysical and neuroimaging data, our results suggest that the above perceptual illusion occurs during the verbalization phase of odor determination.     

Preferences for scale structure in melodic sequences

Most Western music is tonal; that is, pitch organization can largely be described in terms of scales or keys. A considerable amount of research has been conducted on the role played by scale in perceiving notes and melodies. The present article points out a potentially important distinction between scale structure (the set permitted pitch intervals between notes) and mode (the assignment of a special salience or centrality to particular notes within the scale structure). Four experiments are described that investigated the judgment of adult Western listeners for melodies that approximated to scale structure in differing degrees but that were random in other respects. We found that musicians and nonmusicians gave higher ratings of preference and adjudged musicality to melodies containing increased numbers of consecutive notes conforming to scale structure. A significant exception to this rule was the least scalar type of sequence, which received ratings as high as the fully scalar sequences. This exception occurred because subjects identified scale structure not only in groups of contiguous notes but also in groups of discontiguous notes that formed a coherent "stream" as long as the number of notes intervening corresponded to a standard temporal grouping, or meter, such as is commonly found in Western music.     

New algorithms assessing short summaries in expository texts using latent semantic analysis

In this study, we compared four expert graders with latent semantic analysis (LSA) to assess short summaries of an expository text. As is well known, there are technical difficulties for LSA to establish a good semantic representation when analyzing short texts. In order to improve the reliability of LSA relative to human graders, we analyzed three new algorithms by two holistic methods used in previous research (León, Olmos, Escudero, Cañas, &; Salmerón, 2006). The three new algorithms were (1) the semantic common network algorithm, an adaptation of an algorithm proposed by W. Kintsch (2001, 2002) with respect to LSA as a dynamic model of semantic representation; (2) a best-dimension reduction measure of the latent semantic space, selecting those dimensions that best contribute to improving the LSA assessment of summaries (Hu, Cai, Wiemer-Hastings, Graesser, &; McNamara, 2007); and (3) the Euclidean distance measure, used by Rehder et al. (1998), which incorporates at the same time vector length and the cosine measures. A total of 192 Spanish middle-grade students and 6 experts took part in this study. They read an expository text and produced a short summary. Results showed significantly higher reliability of LSA as a computerized assessment tool for expository text when it used a best-dimension algorithm rather than a standard LSA algorithm. The semantic common network algorithm also showed promising results.     

A probabilistic model of melody perception

This study presents a probabilistic model of melody perception, which infers the key of a melody and also judges the probability of the melody itself. The model uses Bayesian reasoning: For any "surface" pattern and underlying "structure," we can infer the structure maximizing P (structure|surface) based on knowledge of P (surface, structure). The probability of the surface can then be calculated as ∑ P (surface, structure), summed over all structures. In this case, the surface is a pattern of notes; the structure is a key. A generative model is proposed, based on three principles: (a) melodies tend to remain within a narrow pitch range; (b) note-to-note intervals within a melody tend to be small; and (c) notes tend to conform to a distribution (or key profile) that depends on the key. The model is tested in three ways. First, it is tested on its ability to identify the keys of a set of folksong melodies. Second, it is tested on a melodic expectation task in which it must judge the probability of different notes occurring given a prior context; these judgments are compared with perception data from a melodic expectation experiment. Finally, the model is tested on its ability to detect incorrect notes in melodies by assigning them lower probabilities than the original versions.     

Cognitive Processes While Writing Poetry: An Expert-Novice Study

To identify expert poets’ cognitive processes as they compose poetry, we asked 10 expert poets and 10 novice writers of poetry to think aloud as they composed a poem. Compared to the novices, expert poets revealed an associative playfulness and surrendering of consciousness, similar to that shown in research on general creativity in domains such as art, music, and science. Experts also demonstrated significantly more evidence of deliberate procedures and active revision. Novices rarely revised their poems. With regard to meaning, experts made significantly more comments about how the text was meaningful, in particular how textual elements evoke and amplify meaning, than about what the text merely meant. The novices commented more on what the text meant than how the text was meaningful. In discussing the results, we propose a model of the cognitive processes involved in poetic composition, and explore implications for instruction in school and post-secondary educational settings.     

How does background information improve memory for text content?

In two experiments, we investigated whether reading background information benefits memory for text content by influencing the amount of content encoded or the organization of the encoded content. In Experiment 1, half of the participants read background information about the issues to be discussed in the text material, whereas half did not. All the participants were then tested for free recall and cued recall of text content. Free recall was greater for individuals who read issue information than for those who did not. The groups did not differ on cued recall, suggesting that background information did not facilitate the encoding of more text content. Measures of representational organization indicated that increased recall in the issue information group resulted from better organization of content in memory. Experiment 2 extended these findings, using background information about text sources, demonstrated that the efficacy of background information depends on the semantic relationship between that information and text content.     

Inexpert calibration of comprehension

Students with a wide range of course work in physics or music theory read expositions in both domains. After reading 16 texts, each student provided a judgment of confidence in his/her ability to verify inferences based on the central principles of the texts. The primary dependent variable was calibration of comprehension, the degree of association between confidence and performance on the inference test. Two results of most interest were that (1) expertise in a domain was inversely related to calibration and (2) subjects were well calibrated across domains. Both of these results can be accommodated by a self-classification strategy: Confidence judgments are based on self-classification as expert or nonexpert in the domain of the text, rather than on an assessment of the degree to which the text was comprehended. Because self-classifications are not well differentiated within a domain, application of the strategy by experts produces poor calibration within a domain. Nonetheless, because self-classification is generally consistent with performance across domains, application of the strategy produces calibration across domains.     

Sports activity detection,organization and evaluation in online to offline sports community

Although new technologies such as IoT and mobile Internet inspired progress on sports community, online communications among exercisers are still deficient and relationships between exercisers and sports activities are absent. An Online to Offline (O2O) sports community was proposed to solve these problems. In such a novel sports community, various sports activities are the basis of online communications and offline experiences, and their detection, organization and evaluation are key issues. Firstly, the basic composition and construction process of sports activity ecology are described. Next, contents and organization principles of various sports activities along with the activity organization procedures consisting of activity primary election, final election, running and evaluation stages are described. Then, mediums, procedures and data crawling methods of activity intention detection are discussed. Finally, an effect evaluation framework for sports activities, which includes material analysis, expert evaluation and effect investigation, is designed. The idea and procedures of sentiment analysis based material analysis along with sentiment dictionary constitution and sentiment words handling are presented in details.     

语篇理解中动允性信息的提取

通过三个实验考察了读者在语篇理解中对动允性(affordance)信息的提取状况, 以及动允性在阅读理解中的意义。实验一的结果表明, 被试在阅读理解中, 会自发地提取语篇中的动允性信息, 并围绕着动允性信息组织其他信息; 在IEF中的解析过程中, 动允性信息对其他信息有组织作用。实验二的结果表明, 被试在阅读理解中能够直接提取动允性信息。实验三的结果表明, 被试在阅读理解中存在两条提取动允性信息的通路, 一条是直接提取动允性信息, 另一条是先提取属性信息再推导出动允性信息, 选择哪条通路取决于被试是否得到了属性信息。三个实验的结果表明, 阅读理解中的动允性与知觉过程中的动允性存在着相当大的相似性。     

LO! THE STIMULUS SPEAKS: THE INSIDER'S VIEW ON WHYTE AND LATHAM'S "THE FUTILITY OF UTILITY ANALYSIS"

The Whyte and Latham (1996) study presents results showing that presentation of a positive utility analysis reduced support for implementing a valid selection procedure, even though the merits of utility analysis were described by an "expert." In this paper, the aforementioned expert responds to the Whyte and Latham study and its conclusions. He contends that their experimental study actually tested a persuasional hypothesis, not the informational one put forward by the authors. In otherwords, the effect of the presentation of utility information as the independent variable, and its advocacy by the expert, was perceived by subjects as an attempt to persuade managers to invest in a personnel intervention rather than as a neutral message intended to inform them of the merits of the intervention. Consequently, Whyte and Latham's conclusions about the "futility of utility analysis" will most likely generalize to a situation where personnel psychologists are trying to sell an intervention such as a selection program to a client, but not necessarily to a situation where the psychologist is perceived to use utility analysis in an arms length relationship to assist in making investment decisions. The Whyte and Latham findings represent a real and substantial effect that has important implications for psychologists using utility analysis, but more research is required to establish the boundary conditions around it.     

A Review of Best Practice Recommendations for Text Analysis in R (and a User-Friendly App)

In recent decades, the amount of text available for organizational science research has grown tremendously. Despite the availability of text and advances in text analysis methods, many of these techniques remain largely segmented by discipline. Moreover, there is an increasing number of open-source tools (R, Python) for text analysis, yet these tools are not easily taken advantage of by social science researchers who likely have limited programming knowledge and exposure to computational methods. In this article, we compare quantitative and qualitative text analysis methods used across social sciences. We describe basic terminology and the overlooked, but critically important, steps in pre-processing raw text (e.g., selection of stop words; stemming). Next, we provide an exploratory analysis of open-ended responses from a prototypical survey dataset using topic modeling with R. We provide a list of best practice recommendations for text analysis focused on (1) hypothesis and question formation, (2) design and data collection, (3) data pre-processing, and (4) topic modeling. We also discuss the creation of scale scores for more traditional correlation and regression analyses. All the data are available in an online repository for the interested reader to practice with, along with a reference list for additional reading, an R markdown file, and an open source interactive topic model tool (topicApp; see https://github.com/wesslen/topicApp, https://github.com/wesslen/text-analysis-org-science, https://dataverse.unc.edu/dataset.xhtml?persistentId=doi:10.15139/S3/R4W7ZS).     

Miami Thrives: Weaving a Poverty Reduction Coalition

In an environment where community based organizations are asked to do increasingly more to alleviate the effects of complex social problems, networks and coalitions are becoming the answer for increasing scale, efficiency, coordination, and most importantly, social impact. This paper highlights the formation of a poverty reduction coalition in south Florida. Our case study approach chronicles a developing coalition in Miami-Dade County and the role of one organization acting as lead to the initiative. Drawing on interviews with lead organization staff, participant observation field notes, network mapping and analysis of documents and artifacts from the initiative, we analyze the local organizational context and illuminate important processes associated with supporting a developing coalition. Findings offer a picture of the interorganizational relationships in the community using social network analysis and identify the organizational capacity factors that contribute to and inhibit the formation of a cohesive and effective coalition in this context. This study also highlights the utility of an action research approach to organizational learning about coalition-building in such a way that informs decision making.     

Levels-of-processing effects on "remember" responses in recognition for familiar and unfamiliar tunes

We investigated the effect of level-of-processing manipulations on "remember" and "know" responses in episodic melody recognition (Experiments 1 and 2) and how this effect is modulated by item familiarity (Experiment 2). In Experiment 1, participants performed 2 conceptual and 2 perceptual orienting tasks while listening to familiar melodies: judging the mood, continuing the tune, tracing the pitch contour, and counting long notes. The conceptual mood task led to higher d' rates for "remember" but not "know" responses. In Experiment 2, participants either judged the mood or counted long notes of tunes with high and low familiarity. A level-of-processing effect emerged again in participants' "remember" d' rates regardless of melody familiarity. Results are discussed within the distinctive processing framework.     

Task-relevant perceptual features can define categories in visual memory too

Although Konkle, Brady, Alvarez, and Oliva (2010, Journal of Experimental Psychology: General, 139(3), 558) claim that visual long-term memory (VLTM) is organized on underlying conceptual, not perceptual, information, visual memory results from visual search tasks are not well explained by this theory. We hypothesized that when viewing an object, any task-relevant visual information is critical to the organizational structure of VLTM. In two experiments, we examined the organization of VLTM by measuring the amount of retroactive interference created by objects possessing different combinations of task-relevant features. Based on task instructions, only the conceptual category was task relevant or both the conceptual category and a perceptual object feature were task relevant. Findings indicated that when made task relevant, perceptual object feature information, along with conceptual category information, could affect memory organization for objects in VLTM. However, when perceptual object feature information was task irrelevant, it did not contribute to memory organization; instead, memory defaulted to being organized around conceptual category information. These findings support the theory that a task-defined organizational structure is created in VLTM based on the relevance of particular object features and information.     

Discrimination of acoustically similar conspecific and heterospecific vocalizations by black-capped chickadees (<Emphasis Type="Italic">Poecile atricapillus</Emphasis>)

Chickadees produce a multi-note chick-a-dee call in multiple socially relevant contexts. One component of this call is the D note, which is a low-frequency and acoustically complex note with a harmonic-like structure. In the current study, we tested black-capped chickadees on a between-category operant discrimination task using vocalizations with acoustic structures similar to black-capped chickadee D notes, but produced by various songbird species, in order to examine the role that phylogenetic distance plays in acoustic perception of vocal signals. We assessed the extent to which discrimination performance was influenced by the phylogenetic relatedness among the species producing the vocalizations and by the phylogenetic relatedness between the subjects’ species (black-capped chickadees) and the vocalizers’ species. We also conducted a bioacoustic analysis and discriminant function analysis in order to examine the acoustic similarities among the discrimination stimuli. A previous study has shown that neural activation in black-capped chickadee auditory and perceptual brain regions is similar following the presentation of these vocalization categories. However, we found that chickadees had difficulty discriminating between forward and reversed black-capped chickadee D notes, a result that directly corresponded to the bioacoustic analysis indicating that these stimulus categories were acoustically similar. In addition, our results suggest that the discrimination between vocalizations produced by two parid species (chestnut-backed chickadees and tufted titmice) is perceptually difficult for black-capped chickadees, a finding that is likely in part because these vocalizations contain acoustic similarities. Overall, our results provide evidence that black-capped chickadees’ perceptual abilities are influenced by both phylogenetic relatedness and acoustic structure.     

Computerizing reading training: Evaluation of a latent semantic analysis space for science text

The effectiveness of a domain-specific latent semantic analysis (LSA) in assessing reading strategies was examined. Students were given self-explanation reading training (SERT) and asked to think aloud after each sentence in a science text. Novice and expert human raters and two LSA spaces (general reading, science) rated the similarity of each think-aloud protocol to benchmarks representing three different reading strategies (minimal, local, and global). The science LSA space correlated highly with human judgments, and more highly than did the general reading space. Also, cosines from the science LSA spaces can distinguish between different levels of semantic similarity, but may have trouble in distinguishing local processing protocols. Thus, a domain-specific LSA space is advantageous regardless of the size of the space. The results are discussedin the context of applying the science LSA to a computer-based version of SERT that gives online feedback based on LSA cosines.     

Exploring how consumer cooperatives might strategically incorporate social media to distribute wine

This research advances our understanding of disruptions to marketing channels in the digital world by investigating the viability of consumer cooperative systems which are envisioned as multi-actor constructed networks using social media (SM) platforms. It introduces the concepts of “social media consumer wine cooperator” as a new distribution channel for wine and investigates the consumer's intention to participate in an SM and become a wine cooperator. Relying on the uses and gratifications theory (UGT), we adopted a quantitative research inquiry with data gathered using an online survey involving a sample of 486 French consumers. We empirically tested the relationships among four factors: attitude toward buying wine based on SM recommendations, perceived risks, intention to buy wine on SM, and consumer intention to become an SM wine cooperator. Findings indicate that the intention to be an SM wine cooperator is positively correlated with attitude toward buying wine based on SM recommendations and the intention to purchase wine on SM. To finish with, we link the concept of the consumer wine co-op to the current debate in the literature on centralized versus decentralized (built on top of blockchain networks) social media platforms, opening the door for future research avenues.     

Text cohesion and metacomprehension: Immediate and delayed judgments

In three experiments, we examined comprehension judgments made after a piece of text had been read. We propose that such metacognitive judgments are based on the content of working memory at the exact moment of assessment. Generally speaking, this working metacognition hypothesis is in agreement with Koriat's cue utilization approach, which implies that different elements of information will be available (and used) depending on the moment at which a judgment is made. More specifically, our hypothesis focuses on the management of working memory during reading as a cause for cue (un)availability. In support of these views, the results of Experiment 1 showed that a cohesion manipulation affecting the comprehension of specific paragraphs influences judgments only on these paragraphs, and not on judgments on the whole text. In Experiment 2, we showed that an interfering task that takes place just before this paragraph judgment is made wipes out this cohesion effect. Experiment 3 showed, on the other hand, that the whole-text judgment may, nevertheless, be affected by text cohesion, provided that the readers keep an access to the text when the judgment is made. These results support the idea that working memory management makes different cues available for metacognitive ratings at different delays.     

Are Clinical Records Really That Important? The Dearth of Research and Practice Guidelines in MFT Literature

In Marriage and Family Therapy (MFT), case notes can play an important role in providing quality care and in maintaining the integrity of the therapeutic relationship. Case notes are invaluable for clinicians on many different levels: clinically, ethically, and legally. In this article, we will highlight the many uses of case notes within the field and will give examples of what problems may occur when case notes are not adequately, thoroughly, and timely kept. We also provide a review of all research-based information available on this topic over a fifteen-year period. The results of the review are disheartening as this area has received no empirical attention in MFT Literature. We call attention to this dearth of information and give suggestions regarding future research and training.