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The article builds a bridge between the Gestalt principles in human perception (describing how visual elements are interpreted) and convolutional neural networks modeling. It suggests that a single principle - adoption to the statistical structure of the environment might suffice to explain perceptual mechanisms.

A multi-modal framework that integrates a spatial-aware self-attention mechanism into the Transformer architecture

An important warning about the use of simplistic historical arguments to undergird innovation where the notion of ideal users conflicted with existing paradigms.

Use of Explain Everything as a modeling tool in mobile learning to increase confidence and proficiency in comprehension and understanding

Albert Hirschman’s originality lies in his general approach to problem-solving which is hidden behind the complexity of his oeuvre. This article intends to disentangle the intricacies of his work and to reveal his specific mode of investigation.

Empirical investigation of the drivers of growth must shift down to a more microeconomic level. policy choices at the local level affect growth. Both theory and empirics need to downshift to the microeconomic level if we are to make advances in identifying specific means of encouraging innovation and growth.

Illustration how Technology Foresight can have a tangible impact on strategic planning and priority-setting of organizations that spend money on science and technology.

This paper introduces Dataism and Humanism positions in an attempt to situate the ideas within HCI, for the purpose of uncovering potentials to inform perspectives in human-centered machine learning.

A new language representation model called BERT: Bidirectional Encoder Representations from Transformers.BERT is conceptually simple and empirically powerful. It obtains new state-of-the-art results on eleven natural language processing tasks

The chapter from "Oxford Handbook of Group Creativity and Innovation" that reviews the extensive literature on brainstorming to determine potential best practices.

In this paper, DeepLayout, a new approach to page layout analysis is presented. Previous work divides the problem into unsupervised segmentation and classification. Instead of a step-wise method, we adopt semantic segmentation which is an end-to-end trainable deep neural network. Our proposed segmenta- tion model takes only document image as input and predicts per pixel saliency maps.

Computational modeling is deservedly successful in cognitive (neuro)science. Its successes are related to deep conceptual connections between cognition and computation. Computationalism is not only here to stay despite outdated formulations that rely on mechanistic account of physical computation.

The article provides a systematic descriptive and analytical study on the China’s Social Credit System Project

This paper is a first step in developing a conceptual framework to study how machines replace human labor and why this might (or might not) lead to lower employment and stagnant wages.

The method to map unaligned videos from multiple sources to a common representation using self-supervised objectives constructed over both time and modality (i.e. vision and sound). The embedding of YouTube videos to construct a reward function that encourages an agent to imitate human gameplay

The article puts forward ULMFiT, effective transfer learning method that can be applied to any task in NLP. With only 100 labeled examples, it matches the performance of training from scratch on 100x more data and reduces error by 18-24% on the state-of-the-art on six text classification tasks

Semi-supervised learning (SSL) based on deep neural networks have recently proven successful on standard benchmark tasks. Baselines which do not use unlabeled data is often underreported, SSL methods differ in sensitivity to the amount of labeled and unlabeled data, and performance can degrade substantially when the unlabeled dataset contains out-of- distribution examples. To help guide SSL research towards real-world applicability, we make our unified reimplemention and evaluation platform publicly available.

Use of Explain Everything as a modeling tool in mobile learning to increase confidence and proficiency in comprehension and understanding

Articles proposes a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely. The model achieves 28.4 BLEU on the WMT 2014 English- to-German translation task, improving over the existing best results, including ensembles, by over 2 BLEU. The Transformer also generalizes well to other tasks.

A general framework for few-shot learning. The method, called the Relation Network (RN), is trained end-to-end from scratch. Besides providing improved performance on few-shot learning, our framework is easily extended to zero-shot learning.

Teaching using an Interactive Whiteboard does not indicate dialogic interaction, according to the current study. The questions about the place and role of the IWB are asked. The answer would seem to lie in the teachers' perceptional change in respect of interaction and learning.

Popular models that learn word representations ignore the morphology of words, by assigning a distinct vector to each word. Article proposes a new approach based on the skipgram model, where each word is represented as a bag of character n-grams. A vector representation is associated to each character n-gram; words being represented as the sum of these representations.

Review of the the concepts, applications and development of technology adoption models

The article documents improvements in final examination performance as benefits from using student-generated screencast assignments. THe method supported development of creativity, communication and multimedia skills.

Whiteboard animations have a positive effect on retention, engagement and enjoyment, although we do not rule out the possibility that some of this result is due to novelty.

Participants monitored a monotonous mock telephone message. Half of the group was randomly assigned to a ‘doodling’ condition where they shaded printed shapes while listening to the telephone call. The doodling group performed better on the monitoring task and recalled 29% more information on a surprise memory test.

Contemporary cultural forms involve more than the perceptual system of sight and more than visual images as a communicative mode. Meaning is made through an interaction of different communicative modes.

Deeper neural networks are more difficult to train. We present a residual learning framework to ease the training of networks that are substantially deeper than those used previously. We explicitly reformulate the layers as learning residual functions with reference to the layer inputs, instead of learning unreferenced functions. Solely due to our extremely deep representations, we obtain a 28% relative improvement on the COCO object detection dataset.

The benefit of creating drawings of to-be-remembered information relative to writing was examined as a mnemonic strategy. We propose that drawing improves memory by encouraging a seamless integration of semantic, visual, and motor aspects of a memory trace.

The article reviews 42 studies investigating the role of sequencing of text and pictures for learning outcomes. It is not so much the sequence of text and pictures per se that affects learning outcomes than boundary conditions (i.e., type of assessed knowledge, relative complexity. The relative complexity of information conveyed by the picture and by the text should determine which medium is better to be processed first, with less complex information being processed first leading to better comprehension.

The research of the reasons why automation has not wiped out a majority of jobs over the decades and centuries. How recent and future advances in artificial intelligence and robotics should shape our thinking about the likely trajectory of occupational change and employment growth

Information Visualization techniques are built on a context with many factors related to both vision and cognition, making it difficult to draw a clear picture of how data visually turns into comprehension. In the intent of promoting a better picture, here, we survey concepts on vision, cognition, and Information Visualization organized in a theorization named Visual Expression Process.

The study investigates the effects of the restrictiveness of visuals on the communication process and outcome in small groups. Visual restrictiveness is conceived as the constraints imposed by a graphic template on the process of knowledge work.

The pedagogical problem addressed in this paper relates to how student engagement can be increased by improving the content and the way the lecture is communicated through the use of technology. Paper presents an innovative way to deliver lectures in the higher education setting through the use of an iPad and a unique presentation application, called Explain Everything.

The article deconstructs the ideological grounds of datafication. Datafication is rooted in problematic ontological and epistemological claims. As part of a larger social media logic, it shows characteristics of a widespread secular belief.

An inherent limitation of word representations is their indifference to word order and their inability to represent idiomatic phrases. Article presents a simple method for finding phrases in text, and show that learning good vector representations for millions of phrases is possible.

The authors replicate findings of research on candidate genes for creativity with findings, at present, that the genetic base of creativity remains unclear.

The study on the effect of distance on medium preferences in interpersonal communication. Words are preferred over richer, picture-based forms when communicating with distal others, whereas proximity cues people to use visual, imagery-based, embodied representations.

The experimental evidence of the power of using strategic link formation and dissolution, and the network modification it entails, to stabilize cooperation in sizable groups

What are the stages of the whole brain volume changes during life (growth until 13, adulthood of 13-35 and then gradual brain tissue loss after age of 35)

The overview of history of man-computer symbiosis conception which is closely related to the idea of human cognitive enhancement and human intelligence amplification.

Demonstration of cross modality feature learning, where better features for one modality (e.g., video) can be learned if multiple modalities (e.g., audio and video) are present at feature learning time.

A defence of the classical computational account of reasoning against a range of highly influential objections, some of them being not really objections but rather hard research issues.

Reasoning depends on envisaging the possibilities consistent with the starting point. We construct mental models of each distinct possibility and derive conclusions from them. On this account, reasoning is a simulation of the world fleshed out with our knowledge.

The article attempts to provide a new way to understand construction of human’s mental model of an information-rich resource. This methodological challenge has been undertaken to fight lack of empirical research

The paper examines visual metaphors presented using interactive multimedia as a means of helping students build connections between an arithmetic procedure and their existing conceptual knowledge

Creative people's ability to adjusting their focus of attention as a function of task demands (between defocused attention for high ambiguity of a task to a focused one)

Examination of individuals’ computing adoption processes through the lenses of three adoption theories: innovation diffusion theory, the Concerns-Based Adoption, the Technology Acceptance Model, and the United Theory of Acceptance and Use of Technology.

The study examined the development of picture superiority effect in recognition memory in groups ranging in age from 7 to 20 years. The picture superiority effect showed a clear developmental trend.

The paper surves the current state of the art in cognitive enhancement methods and consider their prospects for the near-term future

Participants monitored a monotonous mock telephone message. Half of the group was randomly assigned to a ‘doodling’ condition where they shaded printed shapes while listening to the telephone call. The doodling group performed better on the monitoring task and recalled 29% more information on a surprise memory test.

Paper introduces CATLM - Cognitive–Affective Theory of Learning with Media from which five instructional design principles are  derived.

Study of short-term and long-term effects of two kinds of advance organizers in a fully Web-based course with positive (but not inconclusive) benefits in short-term knowledge acquisition

The article address varying levels of representation in visual language in comparison to the structural make-up of verbal language, to aim toward at what it means to have “visual lexical items” with form-meaning pairings that contribute to the meaningful expressions of visual language.

The study aims to compare the effects of visual versus verbal metaphors in facilitating novices and experts in the comprehension and construction of mental models.

The colossal landscape of knowledge is growing at exponential rates and requires representational maps utilizing advanced techniques to provide insight into the structure of knowledge.

The proximity of team members has potentially important implications for the collaborative working of teams. Using data from 430 team members and team leaders of 145 software development teams, the results of the regression models show that team members' proximity is significantly related to teamwork qualility.

paper explores the ways in which Wilbur and Orville Wright thought as they tackled the problem of designing and constructing a heavier-than-air craft that would fly under its own power and under their control. They used analogies based on mental models.

From the evolutionary perspective, one cannot directly sum micro into macro. Instead, an economic system can be conceived as a set of meso units, where each meso consists of a rule and its population of actualizations. The proper analytical structure of evolutionary economics is in terms of micro–meso–macro. The upshot is an ontologically coherent framework for analysis of economic evolution as a growth of knowledge process.

New model for CMC proposing a negative causal link between „naturalness” and the cognitive effort required to use the medium.

The analysis suggests that empirical investigation of the drivers of growth must shift down to a more microeconomic level. Using examples from India article suggest that in order to engender growth one need think much more carefully about policy choices at the local level.

On the super-additive contribution of original breakthrough invention and “mere imitation” and active sharing of IP instead of hoarding it.

Shepard and Chipman’s second order isomorphism de- scribes how the brain may represent the relations in the world. However, a common interpretation of the theory can cause difficulties. I propose that we assign an active role to the internal representations and relations

The growing awareness, that “good teamwork” increases the success of innovative projects, raises new questions: What is teamwork, and how can it be measured? article develops a comprehensive concept of the collaboration in teams, called Teamwork Quality (TWQ) with its six facets.

An integration of the CODE Theory of Visual Attention (CTVA) with information foraging theory that could lead to deeper analysis of interaction with visual content.

Demonstration of capabilities of calligraphic interfaces and freehand drawing to interpret symbolic diagrams in diverse range of appraches

Article supporting 2 cognitive principles of multimedia learning - the role of modality and contiguity

A research of the conceptual stages of design (typified by vague knowledge and shifting goals) using sketching improved by computer support

Students with text and illustrations and students who generated their own illustrations performed better on a problem-solving test than students with text only.

Awareness of the existence of emotional contagion may prove useful in understanding and perhaps advancing various areas of interpersonal communication. People's own emotions were more influenced by the others' nonverbal clues as to what they were really feeling. 

Imaginal coding typically enhances retention. Pictures are remembered better than words; words for which subjects imagine referents are better remembered than words studied without such coding; concrete words are better retained than abstract words; and mnemonic devices employing imagery can produce dramatic effects on retention.

The effects of imagery on immediate and long term recall and organization (clustering) were studies with regard to hight and low imagery concrete stimulus.  It was concluded that imagery is an important factor in free recall and organization nad functions analogously to verbal process. 

Participants monitored a monotonous mock telephone message. Half of the group was randomly assigned to a ‘doodling’ condition where they shaded printed shapes while listening to the telephone call. The doodling group performed better on the monitoring task and recalled 29% more information on a surprise memory test.

The first scientific paper on free hand input and line drawings using a computer that opens up a new area of man-machine communication.