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The purpose of the paper is to study multiple viewpoints which are required to access the more informative similarity features among the tweets documents, which is useful for achieving the robust tweets data clustering results.

Let “N” be the number of tweets documents for the topics extraction. Unwanted texts, punctuations and other symbols are removed, tokenization and stemming operations are performed in the initial tweets pre-processing step. Bag-of-features are determined for the tweets; later tweets are modelled with the obtained bag-of-features during the process of topics extraction. Approximation of topics features are extracted for every tweet document. These set of topics features of N documents are treated as multi-viewpoints. The key idea of the proposed work is to use multi-viewpoints in the similarity features computation. The following figure illustrates multi-viewpoints based cosine similarity computation of the five tweets documents (here N = 5) and corresponding documents are defined in projected space with five viewpoints, say, v₁,v₂, v₃, v₄, and v₅. For example, similarity features between two documents (viewpoints v₁, and v₂) are computed concerning the other three multi-viewpoints (v₃, v₄, and v₅), unlike a single viewpoint in traditional cosine metric.

Healthcare problems with tweets data. Topic models play a crucial role in the classification of health-related tweets with finding topics (or health clusters) instead of finding term frequency and inverse document frequency (TF–IDF) for unlabelled tweets.

Topic models play a crucial role in the classification of health-related tweets with finding topics (or health clusters) instead of finding TF-IDF for unlabelled tweets.

This paper aims to propose a new view planning method which can be used to calculate the next-best-view (NBV) for multiple manipulators simultaneously and build an automated three-dimensional (3D) object reconstruction system, which is based on the proposed method and can adapt to various industrial applications.

The entire 3D space is encoded with octree, which marks the voxels with different tags. A set of candidate viewpoints is generated, filtered and evaluated. The viewpoint with the highest score is selected as the NBV.

The proposed method is able to make the multiple manipulators, equipped with “eye-in-hand” RGB-D sensors, work together to accelerate the object reconstruction process.

Compared to the existed approaches, the proposed method in this paper is fast, computationally efficient, has low memory cost and can be used in actual industrial productions where the multiple different manipulators exist. And, more notably, a new algorithm is designed to speed up the generation and filtration of the candidate viewpoints, which can guarantee both speed and quality.

The purpose of this paper is to present a preliminary solution to address the problem of estimating human pose and trajectory by an aerial robot with a monocular camera in near real time.

The distinguishing feature of the solution is a dynamic classifier selection architecture. Each video frame is corrected for perspective using projective transformation. Then, a silhouette is extracted as a Histogram of Oriented Gradients (HOG). The HOG is then classified using a dynamic classifier. A class is defined as a pose-viewpoint pair, and a total of 64 classes are defined to represent a forward walking and turning gait sequence. The dynamic classifier consists of a Support Vector Machine (SVM) classifier C64 that recognizes all 64 classes, and 64 SVM classifiers that recognize four classes each – these four classes are chosen based on the temporal relationship between them, dictated by the gait sequence.

The solution provides three main advantages: first, classification is efficient due to dynamic selection (4-class vs 64-class classification). Second, classification errors are confined to neighbors of the true viewpoints. This means a wrongly estimated viewpoint is at most an adjacent viewpoint of the true viewpoint, enabling fast recovery from incorrect estimations. Third, the robust temporal relationship between poses is used to resolve the left-right ambiguities of human silhouettes.

Experiments conducted on both fronto-parallel videos and aerial videos confirm that the solution can achieve accurate pose and trajectory estimation for these different kinds of videos. For example, the “walking on an 8-shaped path” data set (1,652 frames) can achieve the following estimation accuracies: 85 percent for viewpoints and 98.14 percent for poses.

A discourse analysis of the cognitive viewpoint in library and information science identifies seven discursive strategies which constitute information as a commodity, and persons as surveyable information consumers, within market economy conditions. These strategies are: (a) universality of theory, (b) referentiality and reification of ‘images’, (c) internalisation of representations, (d) radical individualism and erasure of the social dimension of theory, (e) insistence upon knowledge, (f) constitution of the information scientist as an expert in image negotiation, and (g) instrumental reason, ruled by efficiency, standardisation, predictability, and determination of effects. The discourse is guided throughout by a yearning for natural‐scientific theory. The effect of the cognitive viewpoint's discursive strategy is to enable knowledge acquisition of information processes only when users' and generators' ‘images’ are constituted as objectively given natural‐scientific entities, and to disable knowledge of the same processes when considered as products of social practices. By its constitution of users as free creators of images, of the information scientist as an expert in image interpretation and delivery, and of databases as repositories of unmediated models of the world, the cognitive viewpoint performs ideological labour for modern capitalist image markets.

The purpose of this paper is to investigate why children with autism spectrum disorder (ASD) tend to respond to tasks from their own perspective. The authors investigated the effects of explicitness of viewpoint on performance of spontaneous level 2 perspective-taking skills in six- to eight-year-old children with ASD.

The authors conducted visual perspective-taking tasks with explicit and implicit instructions about the viewpoint to be used. Participants operated a toy car on a map while listening to the experimenter’s instructions. In the implicit condition, when the experimenter said “Turn right/left” at each intersection, the participants moved the car accordingly. Subsequently, in the explicit condition, the experimenter said “Look from the driver’s viewpoint and turn right/left” at each intersection.

In the implicit condition, the authors did not observe a clear developmental change in performance between six- and eight-year-old children in the ASD group. In contrast, performance in the ASD group improved under the explicit condition relative to that under the implicit condition.

The results suggest six- to eight-year-old children with ASD tend not to spontaneously use level 2 perspective-taking skills. Therefore, viewpoints should be explicitly instructed to children with ASD. In addition, it is also important to implement training to encourage spontaneous transitions from self-perspective to other-perspective under the implicit condition.

Exploring the understandings of conflict held by Members of Parliament (MPs) provides a meaningful picture of a conflict in a particular society. The aim of the study is to explore the Kurdish conflict understandings among MPs in Turkey.

The current research used Q methodology, which is a suitable method to identify socially shared perspectives and to identify intra- and inter-group differences, and Entman’s (1993) frame analysis to explore subjective understandings of the Kurdish conflict. Data were collected from 23 MPs from four political parties.

The analysis revealed four qualitatively distinct viewpoints: Turkish Nationalist view, Social Democratic view, Conservative-Religious view and Pro-Kurdish view.

This study contributes to the understanding of political parties’ perspectives on the Kurdish conflict in Turkey by representing each political party’s priorities and concerns. The meaning of these priorities and concerns, implications for conflict resolution and the usefulness of the Q methodology for exploring conflict understandings are also discussed.

Purpose – Negotiations can be stressful, yet are unavoidable in many organizations. Members of organizational workgroups for instance need to negotiate about issues such as task division and different ideas on how to complete a project. Until recently little research effort has been directed to understanding negotiators' stress responses. Similarly, little is known about the consequences that these stress responses may have on negotiation outcomes. In this chapter we argue that group members' physiological stress responses are a key determinant of the outcomes of intragroup negotiations.

Design/Methodology/Approach – We focus on two distinct physiological responses (i.e., threat and challenge) and argue that relative to threat responses, challenge responses will be related to superior information sharing, information processing, and decision-making quality. Moving beyond a uniform relationship between physiological reactions and negotiators' behaviors and outcomes, we also focus on two moderating characteristics: the relative power of group members, and whether the negotiation is purely task related, or co-occurs with relationship issues. We discuss effects on both the individual and the group level, extend our ideas to other forms of negotiations, and end with practical and theoretical implications.

Originality/Value – A better understanding of psychophysiological processes during intragroup negotiations may help to explain when intragroup disagreements help or hinder group outcomes and, therefore, may help to solve the paradox of intragroup conflict.

Research indicates that the diagnostic label of Bipolar Disorder is being both over and under-used in mental health services. Disagreement between clinicians in how the diagnosis of Bipolar Disorder is perceived and how the label is used can make it difficult to establish and uphold consistent care. This may lead to the experience of negative emotions for service users and poor engagement with intervention. Therefore, the purpose of this paper is to explore whether clinicians do hold different perceptions of the diagnosis of Bipolar Disorder, with the view of providing insight into how this may impact service provision.

Q-methodology was used to investigate the subjective viewpoints of 19 clinicians from mental health community teams supporting individuals with a diagnosis of Bipolar Disorder. The completed Q-sorts were subject to analysis using Q-methodology analysis software.

Three main factors representing the viewpoints of participants were identified: seeing the person and their experience, promoting quality through standardised processes and understanding the function of diagnostic labels. All three factors agreed that more than one assessment appointment should be required before a diagnosis of Bipolar Disorder was given and that the focus should be on the difficulties experienced rather than the diagnostic label.

These three viewpoints provide different perspectives of the diagnosis of Bipolar Disorder, which are likely to impact on service provision. Services may benefit from a better integration of the viewpoints, noting the important functions of each viewpoint and being guided by individuals’ needs.

There is a field needing both cybernetics and systems theory: business as one way to viability – “business cybernetics” might have to emerge. The purpose of this paper is to address this issue.

A first draft of business cybernetics (BC) notion is presented. Discusses the definition of business systems (BSs) and their need for requisite holism, our understanding of cybernetics, our understanding of the (general) systems theory and systems thinking, differences between some versions of systems theories and cybernetics, and add our draft cybernetics of BSs, finishing with BC as a case of interdependence between business practice, systems theories and cybernetics and resulting conclusions.

It was not found, although quite some literature was studied and quite some practical experience in business, both as employees and as consulting instructors was collected. It is clear that cybernetics and (general) systems theory were created at about the same time by two different groups of scientists. They both dealt with complex rather than complicated entities/features/processes and they both tried to stress relations between parts of reality, which used to be considered separately and one‐sidedly rather than (requisitely) holistically.

Later on, their “war against a too narrow specialisation” did not end in their general victory, but rather in application of their fruitful findings inside many specialised disciplines of science and practice. This is good, but not good enough, uncovered topics remain. Business is one of them.

Links both cybernetics and systems to an emerging “business cybernetics” in an innovative approach.

The requirements engineering (RE) process constitutes the earliest phase of the information system development life cycle. Requirements elicitation is considered as one of the most critical activities of this phase. Moreover, requirements elicitation is still a challenge, especially in the distributed environment of so‐called inter‐company cooperative information systems (ICISs). The purpose of this paper is to propose a methodology to elicit requirements for an ICIS.

An analytical research approach was conducted. The current RE approaches, which are based either on goal, scenario or viewpoint were evaluated. Then the role of the elicitation technique selection step within the requirements elicitation process was examined. Finally the factors that affect this step in a distributed environment were studied. An example from the textile industry is used to illustrate the applicability of the proposed methodology.

Though existing requirements elicitation approaches based either on goal, scenario or viewpoint are effective techniques, they do not fit exactly to a cooperative distributed environment: more issues are created by inadequate communication, time difference between sites, cultural, language and characteristics diversity of stakeholders which affect the elicitation technique selection step and thus the requirements elicitation process. In order to tackle these issues, this paper presents a methodology called MAMIE (from Macro‐ to Micro‐level requirements Elicitation) to elicit requirements for an ICIS. A prototype tool has been developed to support the operation of the methodology.

The major limitation of the paper is that has not yet been tested in an existing organization.

To provide the analyst with well‐defined steps in order to elicit requirements of an ICIS. To understand the role of the elicitation technique selection step within the requirements elicitation process and identifying the factors which have an impact on this step. To select an appropriate elicitation technique according to these factors.

MAMIE integrates the three notions of goal, scenario and viewpoint to elicit requirements for an ICIS. The paper argues that these concepts may be used simultaneously and in a complementary way to improve the requirements elicitation process. Moreover, in order to increase the quality of the elicited requirements and thus the quality of the system‐to‐be, selecting an elicitation technique in MAMIE is not based on personal preferences but on situation assessment.