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The accurate measurement of the position and orientation of a robot end‐effector is the most critical issue for calibrating of robotic devices. Calibration methods provide tools to improve the accuracy of robots without modification to the mechanical unit or its control architecture. However, such calibration techniques require a large number of measurements. Dynamic measurement of position and orientation not only provides a solution to this problem, it also establishes the foundation for development of techniques to improve the robot’s dynamic accuracy. The concept of laser‐interferometry‐based measurement has been proposed. A system based on this concept is generally referred to as a laser tracking system (LTS). This paper describes the principle of laser‐interferometry‐based tracking. Further, the structure and various components within such a system are presented. A kinematic model for laser tracking is described and the performance of the system in its present configuration is presented. The application potential of such an approach to position and orientation (pose) measurement is also briefly described.

This paper seeks to examine the dynamic problem of associating measurements at a given period from several IR sensors in the presence of clutter, missed detections.

On the basis of a dynamic S‐D assignment algorithm, a new association algorithm for associating and tracking multiple targets is presented. By considering the special feature of the IR sensor, the dynamic assignment cost coefficient incorporates the radiation intensity information into the association process using a joint probabilistic model for the two separate sources of information (intensity and trajectory).

The simulation results show that the new algorithm can attain almost the same accuracy of tracking estimation with less computational load by utilizing special feature information of the IR sensor into dynamic S‐D assignment.

There are still some parameters to be set in advance, which influence the estimate result to some extent. And the tracking stage follows the image processor, so the tracking performance is also related with the quality of images. Those problems will be considered deeply in the future research based on different maneuvering level of targets and the real tracking environment.

This new algorithm may be adopted by tracking systems based on passive sensors in the future.

This new algorithm utilizes more information and fairly small and stable errors in position and velocity can be obtained. At the same time, it decreases computational load.

The purpose of this paper is to demonstrate the theoretical relationship between the layout of four‐sensor dynamic acoustic array tracking system and systematic observation accuracy, and provide an algorithm to determine the optimal arrangement of four‐sensor acoustic array and an indicator to evaluate acoustic array system measurement accuracy.

In the present paper, the measurement principle of the four‐sensor dynamic acoustic array tracking system is analyzed, and the system observation model and the conversion relationship between models are established. Subsequently, the optimization algorithm for the four‐sensor dynamic acoustic array is deduced, the theoretical optimal arrangement of the four‐sensor dynamic acoustic array tracking measurement system is obtained based on the optimal position dilution of precision function (PDOPF) of 2D target, and the static experimental study on sound‐source bearing estimation is designed. The theoretical results are compared with the experimental results of the present study.

The measurement accuracy of the four‐sensor dynamic acoustic array tracking system is largely dependent on the layout of the acoustic sensor. Theoretical studies and experimental results demonstrated that an optimal PDPOF can be used to analyze the rationality of the layout. It can also serve as an indicator for the layout of the four‐sensor dynamic acoustic array tracking system.

The PDOPF value is presented as an indicator for the evaluation of the four‐sensor dynamic acoustic array systematic observation accuracy based on theoretical analysis. The feasibility of the indicator and the rationality of the sensor layout in practical engineering application are verified through experimental studies on sound‐source bearing estimation. The higher the PDOPF value is, the lower the accuracy of the system will be.

Self-tracking is becoming a prominent and ubiquitous feature in contemporary practices of health and wellness management. Over the last few years, we have witnessed a rapid development in digital tracking devices, apps and platforms, together with the emergence of health movements such as the Quantified Self. As the world is becoming increasingly ruled by metrics and data, we are becoming ever more reliant on technologies of tracking and measurement to manage and evaluate various spheres of our lives including work, leisure, performance, and health. This chapter begins with a brief outline of some of the key theoretical approaches that have been informing the scholarly debates on the rise of self-tracking. The chapter then moves on to discuss at length the findings of an international survey study conducted by the author with users of self-tracking technologies to discuss the ways in which they perceive and experience these practices, and the various rationales behind their adoption of self-tracking in the first place. The chapter also addresses participants’ attitudes towards issues of privacy and data sharing and protection which seem to be dominated by a lack of concern regarding the use and sharing of self-tracking data with third parties. Some of the overarching sentiments vis-à-vis these issues can be roughly categorised according to feelings of ‘trust’ towards companies and how they handle data, a sense of ‘resignation’ in the face of what is perceived as an all-encompassing and ubiquitous data use, feelings of ‘self-insignificance’ which translates into the belief that one’s data is of no value to others, and the familiar expression of ‘the innocent have nothing to hide’. Overall, this chapter highlights the benefits and risks of self-tracking practices as experienced and articulated by the participants, while providing a critical reflection on the rise of personal metrics and the culture of measurement and quantification.

The purpose of this paper is to show how analysing sales flyers with a combination of eye tracking, measurement of emotions, interview and content analysis can give an in-depth understanding on how different design aspects influence sales flyers’ effectiveness as a communication tool. The paper shows the relationship between different sales flyer design principles and a person’s preference towards it, as well as the intent to read it.

The paper chose for pilot study using eye tracking and emotions measurement to analyse retail sales flyers. In addition, interviews and content analysis were conducted to fully understand which aspects of sales flyer design influenced consumers.

The paper’s main findings are that sales flyers that evoke more positive emotions are prone to be chosen, and the attention and the view time of content pages is related to the number of elements on the page, page coherence and the location of the offers.

This research uses eye tracking were sales flyers are shown on screen, which is not a natural way to read sales flyers. Future research should aim to test this methodology and prepositions in the natural environment.

The paper includes implications for designing better sales flyers.

To the authors’ knowledge, sales flyers have never been studied with a research design combining eye tracking, measurement of emotions, interview, content analysis and preferences.

The purpose of this paper is to properly calibrate the laser tracking system (LTS) prior to using it for metrology and improving the measuring accuracy of LTS.

A kinematics model that describes not only the motion but also geometric variations of LTS is developed. Effects of tracking mirror mechanism dimension errors on measured coordinates and target reflector alignment errors on sensor reading are investigated.

Through error analysis of the proposed model, it is claimed that gimbals axis misalignments and tracking mirror center offset are the key contributors to measure errors of LTS. Intensive simulation studies are conducted to check the validity of the theoretical results and various practical issues are also explored in the simulations. The simulation results demonstrate that under realistic conditions the 10‐parameter model is the minimal and complete model.

This model, together with its error model which is also presented in this paper, can be used for design, calibration, and control of LTS.

This paper develops a kinematics model that describes not only the motion but also geometric variations of LTS, and demonstrates that gimbals axis misalignments and tracking mirror center offset is the key contributor to measuring errors of LTS.

The purpose of this study is to find out how unconscious perception and conscious reactions differ when it comes to evaluate wine bottles in a shopping shelf. It was evaluated how attention is related to subjective evaluations of interest and value in the perception of wine bottle design choices.

The experiment combined implicit eye-tracking observations and a quantitative measurement on the assessment on wine bottle designs. In total, 37 participants rated eight different wine bottle designs based on their interest and assumed value, without any given information about the wines’ original price classification.

There is a significant difference between the perception of wine bottle designs. Eye-catchy designs do not automatically transform into a higher perception of value and interest towards the product. The unconscious perception of bottles and the conscious reaction differentiate.

The greatest limitation, as with many other implicit studies, is the limited number of subjects and the associated limited validity. In addition, eight bottles in four categories were studied, which is adequate, but does not fully reflect the complexity of the wine market supply.

Manufacturers and wine label designers should challenge existing pre-disposition towards certain wine bottle design choices.

To the best of the authors’ knowledge, this is the first German consumer study that focusses on unconscious perception (measured by implicit eye movement behaviour) and conscious reactions in the context of explicit value and interest evaluation.

Technical solutions can be important when key communicators take on the task of making sense of social media flows during crises. However, to provide situation awareness during high-stress assignments, usability problems must be identified and corrected. In usability studies, where researchers investigate the user-friendliness of a product, several types of data gathering methods can be combined. Methods may include subjective (surveys and observations) and psychophysiological (e.g. skin conductance and eye tracking) data collection. This chapter mainly focuses on how the latter type can provide detailed clues about user-friendliness. Results from two studies are summarised. The tool tested is intended to help communicators and journalists with monitoring and handling social media content during times of crises.

Change literature emphasizes the significance of aligning change at a systemic level for sustained effectiveness of strategic change initiatives. While this body of literature emphasizes the significance of psychological and process dimensions of managing change, research on an integrated and strategic approach to deploy, track, measure and sustain large‐scale changes has been limited and inconclusive. The purpose of this paper is to address this gap in the literature to propose a holistic conceptual framework for identifying, formulating, deploying, measuring, aligning and tracking strategic changes in organizations.

Specifically, core concepts drawn from scholarly literature and practitioner writings from distinct fields of change management and strategy deployment tools, primarily the Balanced Scorecard (BSC) as proposed by Kaplan and Norton, are reviewed, synthesized and critiqued, to inform and advance the integrated framework proposed.

The suggested approach draws significantly from the BSC framework and focuses on the use of formal steps such as developing change themes and results, setting change objectives, developing lead and lag performance measures for measuring strategic change objectives. Furthermore, the proposed framework also provides directions on how to track the progress of change initiatives with respect to the desired objectives, for evaluating the effectiveness of change deployment efforts, all through applying cause and effect linkages.

Although the focus on individual change arose to support technical deployment of change, over the years the strategic deployment process itself has not received the desired focus in the change strategy literature. The proposed framework extends the current literature on strategic change to offer academics fresh insights on the significance of a strategic approach to change deployment. An application of the framework in the context of large‐scale transformational changes in organizations can provide further evidence related to the validity of the proposed approach.

A total of 70 percent of all change efforts fail. While some fail due to incomplete diagnoses, others fail due to gaps in deployment or measurement. However, there is uncertainty about how to prevent change failure, with no one having explicitly articulated the same. A rigorous and practical approach to systematically deploy change with a continuous focus on strategic alignment has specifically been found missing in the literature. The proposed framework fills this gap to offer managers and organizational decision makers a holistic and practical tool to successfully navigate the complexities of their strategic change efforts by measuring strategic alignment in a step‐wise manner throughout the change process.

Mention of the need to use integrated and strategic performance management tools, such as the BSC proposed by Kaplan and Norton, to measure and review change and to manage the change process has been found in recent literature. However, no studies have yet provided any direction on “how” to use such integrated and strategic tools throughout the change process, to deploy measure and ensure continuous strategic alignment during transformational changes. The paper addresses this gap to propose a systematic, integrated and holistic approach for aligning change deployment.

In the paper, “TV‐trackmeter”, a stereoscopic measuring system developed by Tecnomare, is presented, some recent innovations and upgrading are described, and its reliable use in hostile environments proved. The latest release of the device implements highlighted featuring capabilities such as 3D measuring, automatic mapping, false colour depth‐maps, geometric modelling, multi‐point tracking, recording/retrieving of stereo pair images, and use of new and more powerful hardware. A theoretical introduction to the operating mode of a stereoscopic device, followed by an error propagation analysis is included. A brief description is also given of the accuracy of the device, i.e. pose detection (position and attitude estimation) of the scene objects. An evaluation of the tracking speed capability is provided. Some examples are shown of trials carried out within a nuclear power plant and underwater. Two further applications for this system are described.