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The purpose of this paper is to investigate the understanding of industrial safety signs and messages by registered and non‐registered safety officers in Hong Kong with ten different user factors, and examine the relationship between cognitive sign features and sign comprehensibility.

The research methodology includes the survey development and appropriate statistical analyses. In total, 92 Hong Kong Chinese participated voluntarily in the study. A questionnaire survey was used to collect information about demographics, personal experience on safety and health issues, experience of reviewing safety sign information, comprehension scores, and the ratings of sign features for 30 industrial safety signs used in Hong Kong. The effect of ten user factors on sign understanding for the design of highly usable safety signs was examined.

Of the ten factors tested, only the factor of possession of registered safety officer (RSO) status was a significant predictor of comprehension performance. As expected, comprehension scores varied with the cognitive sign features of familiarity, concreteness, simplicity, and meaningfulness.

The currently used industrial safety signs should be redesigned as soon as possible, with careful consideration of cognitive sign features. To make the results more generally applicable, further research is needed to collect more data, particularly from females.

This research suggests that an effective education program for promoting the intended messages of industrial safety signs in various industries and work environments should be conducted as soon as possible. Safety officers, especially those who work in the construction industry need to play a more prominent role in ensuring workplace safety, and in transferring safety knowledge to the workers.

There is a need to enhance RSOs' risk perception and to increase awareness of the importance of safety signs through training programs, so as to improve workplace safety and organizational safety culture. The redesigned safety signs need to be launched with a public education program.

The paper's findings emphasize the need to create awareness of the importance of industrial safety and promote understanding of safety sign meanings amongst people in their work environments. Useful information for the design and use of safety signs was generated.

This article is a contribution to the development of a comprehensive interdisciplinary theory of LIS in the hope of giving a more precise evaluation of its current problems. The article describes an interdisciplinary framework for lis, especially information retrieval (IR), in a way that goes beyond the cognitivist ‘information processing paradigm’. The main problem of this paradigm is that its concept of information and language does not deal in a systematic way with how social and cultural dynamics set the contexts that determine the meaning of those signs and words that are the basic tools for the organisation and retrieving of documents in LIS. The paradigm does not distinguish clearly enough between how the computer manipulates signs and how librarians work with meaning in practice when they design and run document mediating systems. The ‘cognitive viewpoint’ of Ingwersen and Belkin makes clear that information is not objective, but rather only potential, until it is interpreted by an individual mind with its own internal mental world view and purposes. It facilitates further study of the social pragmatic conditions for the interpretation of concepts. This approach is not yet fully developed. The domain analytic paradigm of Hjørland and Albrechtsen is a conceptual realisation of an important aspect of this area. In the present paper we make a further development of a non‐reductionistic and interdisciplinary view of information and human social communication by texts in the light of second‐order cybernetics, where information is seen as ‘a difference which makes a difference’ for a living autopoietic (self‐organised, self‐creating) system. Other key ideas are from the semiotics of Peirce and also Warner. This is the understanding of signs as a triadic relation between an object, a representation and an interpretant. Information is the interpretation of signs by living, feeling, self‐organising, biological, psychological and social systems. Signification is created and con‐trolled in a cybernetic way within social systems and is communicated through what Luhmann calls generalised media, such as science and art. The modern socio‐linguistic concept ‘discourse communities’ and Wittgenstein's ‘language game’ concept give a further pragmatic description of the self‐organising system's dynamic that determines the meaning of words in a social context. As Blair and Liebenau and Backhouse point out in their work it is these semantic fields of signification that are the true pragmatic tools of knowledge organ‐isation and document retrieval. Methodologically they are the first systems to be analysed when designing document mediating systems as they set the context for the meaning of concepts. Several practical and analytical methods from linguistics and the sociology of knowledge can be used in combination with standard methodology to reveal the significant language games behind document mediation.

This study aims to investigate the effectiveness of a brand imitation strategy for the package design of male-targeted, female-targeted and gender-neutral products.

Three (2 × 2 × 2) between-subjects factorial experiments were conducted with three independent variables, namely, visual shape, color and logo, each classified as relevant/divergent. The dependent variables were participants’ attitudes toward the brand, attitudes toward the product and purchase intention.

There were no significant main effects or interactions for the male-targeted product. The results for the female-targeted product revealed no significant main effect of visual shape, a significant main effect of color and significant two-way interactions between visual shape and color and between visual shape and logo. Significant main effects were found for visual shape and color for the gender-neutral product.

A color scheme similar to that of a leading brand in the same product category more powerfully influenced participants’ attitudes and purchase intention, while a more holistically similar design had greater impact than a less holistic design. Some “divergence” or distinctive design elements of the female-targeted product positively influenced participants’ attitudes and behavior. These findings suggest that a brand imitation strategy offers a means for competing in the marketplace, but should be used with caution.

A conceptual continuum of brand imitation is proposed, incorporating visual semiotics, creativity theory and gender differences in cognitive styles to provide a more systematic method for delineating brand imitation levels.

Projects have high stakes in how they are categorized. The final place of a project within a classification scheme depends on the inclusion or exclusion of certain classification criteria. So far, many researchers and organizations have used a variety classification criteria to construct different project classification schemes. However, most of these classification criteria have been taken for granted and the process of selecting them to categorize projects still remains a black box. The purpose of this paper is to open the black box of classification process and explain how it is reflected in picking the classification criteria.

Drawing on insights from cognitive psychology’s literature, the authors examine the main views of classification process to provide insight into the unknown or implicit reasons that one might have to pick particular attributes as project classification criteria.

The authors argue that classification occurs in the eye of the beholder; it is not only the project’s features per se but also the classifier’s “goals, ideal and preference” or “knowledge of causal relations” that are reflected in the classification criteria.

By elaborating the classification process, the authors brought the project context into the big picture of classification and provide a more rational, and coherent picture of how project classification works. This contributes to a theoretical blind spot, raised by prior researchers, related to the selection of project classification criteria.

Understanding classification processes will reduce the ambiguities, inconsistencies and multiple interpretations of project categories and help practitioners increase their projects’ visibility and legitimacy within an already established classification scheme. These implications help organizations in addressing some of the main obstacles to using categorization in project management practice.

The review of prior work in the category research literature and the insights from this paper will provide project management scholars with a useful toolbox for future research on project classification, which has long been understudied.

The purpose of this paper is to explore the basics of semiotic analysis and concept theory that represent two dominant approaches to knowledge representation, and explore how these approaches are fruitful for knowledge organization.

In particular the semiotic theory formulated by the American philosopher C.S. Peirce and the concept theory formulated by Ingetraut Dahlberg are investigated. The paper compares the differences and similarities between these two theories of knowledge representation.

The semiotic model is a general and unrestricted model of signs and Dahlberg's model is thought from the perspective and demand of better knowledge organization system (KOS) development. It is found that Dahlberg's concept model provides a detailed method for analyzing and representing concepts in a KOS, where semiotics provides the philosophical context for representation.

This paper is the first to combine theories of knowledge representation, semiotic and concept theory, within the context of knowledge organization.

The objective of the paper is to amalgamate theories of text retrieval from various research traditions into a cognitive theory for information retrieval interaction. Set in a cognitive framework, the paper outlines the concept of polyrepresentation applied to both the user's cognitive space and the information space of IR systems. The concept seeks to represent the current user's information need, problem state, and domain work task or interest in a structure of causality. Further, it implies that we should apply different methods of representation and a variety of IR techniques of different cognitive and functional origin simultaneously to each semantic full‐text entity in the information space. The cognitive differences imply that by applying cognitive overlaps of information objects, originating from different interpretations of such objects through time and by type, the degree of uncertainty inherent in IR is decreased. Polyrepresentation and the use of cognitive overlaps are associated with, but not identical to, data fusion in IR. By explicitly incorporating all the cognitive structures participating in the interactive communication processes during IR, the cognitive theory provides a comprehensive view of these processes. It encompasses the ad hoc theories of text retrieval and IR techniques hitherto developed in mainstream retrieval research. It has elements in common with van Rijsbergen and Lalmas' logical uncertainty theory and may be regarded as compatible with that conception of IR. Epistemologically speaking, the theory views IR interaction as processes of cognition, potentially occurring in all the information processing components of IR, that may be applied, in particular, to the user in a situational context. The theory draws upon basic empirical results from information seeking investigations in the operational online environment, and from mainstream IR research on partial matching techniques and relevance feedback. By viewing users, source systems, intermediary mechanisms and information in a global context, the cognitive perspective attempts a comprehensive understanding of essential IR phenomena and concepts, such as the nature of information needs, cognitive inconsistency and retrieval overlaps, logical uncertainty, the concept of ‘document’, relevance measures and experimental settings. An inescapable consequence of this approach is to rely more on sociological and psychological investigative methods when evaluating systems and to view relevance in IR as situational, relative, partial, differentiated and non‐linear. The lack of consistency among authors, indexers, evaluators or users is of an identical cognitive nature. It is unavoidable, and indeed favourable to IR. In particular, for full‐text retrieval, alternative semantic entities, including Salton et al.'s ‘passage retrieval’, are proposed to replace the traditional document record as the basic retrieval entity. These empirically observed phenomena of inconsistency and of semantic entities and values associated with data interpretation support strongly a cognitive approach to IR and the logical use of polyrepresentation, cognitive overlaps, and both data fusion and data diffusion.

The purpose of this paper is to propose a local orientation and navigation framework based on visual features that provide location recognition, context augmentation, and viewer localization information to a blind or low‐vision user.

The authors consider three types of “visual noun” features: signage, visual‐text, and visual‐icons that are proposed as a low‐cost method for augmenting environments. These are used in combination with an RGB‐D sensor and a simplified SLAM algorithm to develop a framework for navigation assistance suitable for the blind and low‐vision users.

It was found that signage detection cannot only help a blind user to find a location, but can also be used to give accurate orientation and location information to guide the user navigating a complex environment. The combination of visual nouns for orientation and RGB‐D sensing for traversable path finding can be one of the cost‐effective solutions for navigation assistance for blind and low‐vision users.

This is the first step for a new approach in self‐localization and local navigation of a blind user using both signs and 3D data. The approach is meant to be cost‐effective but it only works in man‐made scenes where a lot of signs exist or can be placed and are relatively permanent in their appearances and locations.

Based on 2012 World Health Organization, 285 million people are visually impaired, of which 39 million are blind. This project will have a direct impact on this community.

Signage detection has been widely studied for assisting visually impaired people in finding locations, but this paper provides the first attempt to use visual nouns as visual features to accurately locate and orient a blind user. The combination of visual nouns with 3D data from an RGB‐D sensor is also new.

Learning can be viewed as a communication process that puts the learner in contact with concepts created by others. A result of communication is that an act of interpretation starts, which invokes a process of conceptualization. According to Mayes, successful conceptualization will need the support of learning activities. Hence, machine mediated communication is important for creating online e‐Learning opportunities; not only for relaying communication content, but also for supporting the cognitive processes associated with the necessary learning activities required for conceptualization. In Laurillard’s conversational theory, a communication loop should be established between learners and teachers. The articulation element in this loop is necessary for engaging the learner in a collaborative activity, which is essential for developing further the conceptualization process. This paper discusses the acts of communication, conceptualization and articulation within a machine mediated multimodal communication, and it proposes a framework within which a supporting set of cognitive activities can be developed.

Social cognitive theory suggests that children may have more favorable attitudes toward food products promoted by media characters who are similar to them, in terms of factors such as age, gender and race-ethnicity. This paper aims to profile the characters in food and beverage websites and apps for children and examine whether the healthfulness of promoted products varies as a function of character background.

This study includes two parallel content analyses focused on websites and apps that were produced by America’s top selling food and beverage companies.

There were very few child-targeted websites and apps, but those that existed were replete with media characters. These websites/apps tended to feature media characters with diverse gender, age and racial–ethnic backgrounds. However, marketing featuring adult and male characters promoted particularly unhealthy foods.

American food companies, many of whom signed voluntary self-regulatory pledges through the Children’s Food and Beverage Advertising Initiative, should make a more concerted effort to refrain from featuring appealing media characters in child-directed new media marketing. Whether conscious or not, it seems as if food marketers may be leveraging characters to appeal to a wide audience of children of varied demographic backgrounds.

To the best of the authors’ knowledge, this manuscript is the only research to focus specifically on the demographic profiles (i.e. gender, age and race-ethnicity) of characters in food websites and the nutritional quality of the products they promote. It is also the first to systematically examine media characters in food apps in any capacity.

Predictive analytics and artificial intelligence are perceived as significant drivers to improve organizational performance and managerial decision-making. Hiring employees and contract renewals are instances of managerial decision-making problems that can incur high financial costs and long-term impacts on organizational performance. The primary goal of this study is to identify the Major League Baseball (MLB) free agents who are likely to receive a contract.

This study used the design science research paradigm and the cognitive analytics management (CAM) theory to develop the research framework. A dataset on MLB's free agents between 2013 and 2017 was collected. A decision support tool was built using artificial neural networks.

There are clear links between a player's statistical performance and the decision of the player to sign a new offered contract. “Age,” “Wins above Replacement” and “the team on which a player last played” are the most significant factors in determining if a player signs a new contract.

This paper applied analytical modeling to personnel decision-making using the design science paradigm and guided by CAM as the kernel theory. The study employed machine learning techniques, producing a model that predicts the probability of free agents signing a new contract. Also, a web-based tool was developed to help decision-makers in baseball front offices so they can determine which available free agents to offer contracts.