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Consumer experiences of healthcare services are challenging for researchers to study because of the complex, intangible and temporal nature of service provision. The purpose of this paper is to introduce a novel longitudinal three-phase research protocol, which combines iterative interviewing with visual techniques. This approach is utilised to study consumer service experiences, dimensions of consumer value and consumer value co-creation in a transformational service setting: complementary and alternative medicine healthcare.

This research employed a three-phase qualitative longitudinal research protocol, which incorporated: an initial in-depth interview, implementation of the visual elicitation technique Zaltman Metaphor Elicitation Technique and a final interview to gain participant feedback on the analysis of data collected in the first two phases.

Four key benefits derived from using the three-phase protocol are reported: confirmation and elaboration of consumer value themes, emergence of underreported themes, evidence of transformation and refinement of themes, ensuring dependability of data and subsequent theory development.

The study provides evidence that a longitudinal multi-method approach using in-depth interviews and visual methods is a powerful tool that service researchers should consider, particularly for transformative service research settings with sensitive contexts, such as healthcare, and when studying difficult to articulate concepts, such as consumer value and value co-creation.

The purpose of this study is to examine the use of visual research methods in the area of recent marketing and consumer research.

Content analysis was used to investigate visual method in articles from Journal of Consumer Research; Journal of Marketing; Journal of Marketing Research; Journal of Marketing Management; Consumption, Markets, and Culture and Qualitative Market Research. Abstract, key words and methodology sections of all articles published in these six journals from 2002 to 2012 were scanned to identify which of them applied visual methods in their studies. The selected articles were then closely analyzed to discover how visual research methods were used and in what manner did they contribute to the marketing and consumer behavior discipline.

This study found that a growing number of marketing and consumer researchers utilized visual methods to achieve their research goals in various approaches such as cultural inventories, projective techniques and social artifacts. Visual method is useful when research deals with children who are not fully developed and able to comprehend text messages and also advantageous when investigating informants’ metaphorical thoughts about a subject or the content of their mind.

This paper examined how visual methods have assisted marketing and consumer researchers in achieving their goals and suggests when and how researchers can utilize the visual methods for future research.

This paper aims to reinforce the significance of visual ethnography as a tool for mental health promotion.

Visual ethnography has become an established methodology particularly in qualitative studies, to understand specific themes within participants’ everyday realities. Beyond providing a visual element, such methods allow for meaningful and nuanced explorations of sensitive themes, allowing richer sets of data to emerge rather than focussing on conversations alone. The participants in this study evaluated how far they had come by exploring complex circumstances using visual ethnographic means.

Research with single refugee women in Brisbane, Australia, demonstrates how discussing photographs and creating digital movies yielded a sense of achievement, pride and accomplishment, health and wellbeing, and ownership for some women, while for others it was a burden.

Studies with single refugee women have been scarce with limited use of visual ethnographic methods. Visual ethnography is particularly suited to understanding refugee narratives, as complex experiences are not always conveyed through textual representations alone.

Visual estimation, an easy-to-perform technique, is commonly used in hospitals to assess dietary intake in patients. The authors performed a qualitative study where the authors interviewed nurses and dietitians about their perceptions of barriers to accurately measuring patients’ dietary intake in hospitals using the visual estimation method. The paper aims to discuss these issues.

Ten dietitians and ten clinical nurses responded to 30-minute individual interviews in Tokyo, Japan, in September 2014. Each interview was conducted using a common protocol of open-ended questions focusing on the challenges of the visual estimation method and barriers to accurately measuring patients’ dietary intake as part of their routine work. The tape-recorded interviews were transcribed and analyzed based on grounded theory.

Five main categories emerged: hospitals, meals, colleagues, raters, and patients. Various individual barriers such as skill, attitude, knowledge, and others that had not been considered in previous studies also emerged. External barriers that were out of the raters’ control, such as shortage of time, human resources, financial ability, and others, emerged from the “hospitals” category.

Research participants were all females and many of them had less than ten years of experience.

In addition to standardizing the visual estimation process, medical staff need to overcome various other internal and external barriers to accurate measurements.

This is the first study to articulate some important barriers that influence reliability and validity when measuring patients’ dietary intake by visual estimation methods in typical clinical settings.

The purpose of this paper is to consider the potential of visual (i.e. non-textual) research methods in community-based participatory research.

The authors draw on a case illustration of a photo- and video-voice campaign involving rural communities in British Columbia, Canada.

The authors find that visual research methods, in the form of photo- and video-voice campaigns, allow participants to form ties between their community and the broader sociocultural, natural and political milieu in which their community is located. The authors highlight the benefits of using such methodological approaches to capture an emic perspective of community building.

The contribution of this study is twofold. First, this study uses a photo- and video-voice campaign to showcase the role of visuals in articulating community pride – that is, how locals construct identity – and a sense of belongingness. Second, by focusing its analytical gaze on the idea of “community,” this paper revisits the importance of active involvement of research participants in the execution of empirical studies. Ultimately, the authors urge organization and management studies scholars, as well as those working in the social sciences more broadly, to further explore the value of innovative community-based research approaches in future work.

The purpose of this review is to offer a summary of visual and projective research methods that have been applied or may be applied fruitfully in an Asian context. Examples are provided and a delineation of the strengths and weaknesses of the methods is made.

This is a review article covering a number of different relevant methods and briefly reviewing studies that have been conducted in Asia using these methods.

The paper reviews five different uses of qualitative visual and projective methods in Asian consumer and market research: as archival data for analysis; as direct stimuli for data collection; as projective stimuli for data collection; as a means for recording qualitative data; and as a means for presenting qualitative findings.

It is suggested that Asia contains a rich visual culture and that the research techniques reviewed offer compelling means for enhancing data collection, data analysis, and findings presentations from qualitative market and consumer research in Asia.

The paper brings together a diverse array of prior research illustrating the potential of the methods reviewed. In addition to discussing this research a number of references are provided for those wishing to examine these methods in greater detail and apply them to their own research.

The purpose of this paper is to solve the ground verification and test method for space robot system capturing the target satellite based on visual servoing with time-delay in 3-dimensional space prior to space robot being launched.

To implement the approaching and capturing task, a motion planning method for visual servoing the space manipulator to capture a moving target is presented. This is mainly used to solve the time-delay problem of the visual servoing control system and the motion uncertainty of the target satellite. To verify and test the feasibility and reliability of the method in three-dimensional (3D) operating space, a set of ground hardware-in-the-loop simulation verification systems is developed, which adopts the end-tip kinematics equivalence and dynamics simulation method.

The results of the ground hardware-in-the-loop simulation experiment validate the reliability of the eye-in-hand visual system in the 3D operating space and prove the validity of the visual servoing motion planning method with time-delay compensation. At the same time, owing to the dynamics simulator of the space robot added in the ground hardware-in-the-loop verification system, the base disturbance can be considered during the approaching and capturing procedure, which makes the ground verification system realistic and credible.

The ground verification experiment system includes the real controller of space manipulator, the eye-in-hand camera and the dynamics simulator, which can veritably simulate the capturing process based on the visual servoing in space and consider the effect of time delay and the free-floating base disturbance.

This paper aims to provide a better understanding of the challenges and potential solutions in Visual Simultaneous Localization and Mapping (SLAM), laying the foundation for its applications in autonomous navigation, intelligent driving and other related domains.

In analyzing the latest research, the review presents representative achievements, including methods to enhance efficiency, robustness and accuracy. Additionally, the review provides insights into the future development direction of Visual SLAM, emphasizing the importance of improving system robustness when dealing with dynamic environments. The research methodology of this review involves a literature review and data set analysis, enabling a comprehensive understanding of the current status and prospects in the field of Visual SLAM.

This review aims to comprehensively evaluate the latest advances and challenges in the field of Visual SLAM. By collecting and analyzing relevant research papers and classic data sets, it reveals the current issues faced by Visual SLAM in complex environments and proposes potential solutions. The review begins by introducing the fundamental principles and application areas of Visual SLAM, followed by an in-depth discussion of the challenges encountered when dealing with dynamic objects and complex environments. To enhance the performance of SLAM algorithms, researchers have made progress by integrating different sensor modalities, improving feature extraction and incorporating deep learning techniques, driving advancements in the field.

To the best of the authors’ knowledge, the originality of this review lies in its in-depth analysis of current research hotspots and predictions for future development, providing valuable references for researchers in this field.

The purpose of this paper is to introduce a novel framework for visual-aided ontology-based multidimensional ranking and to demonstrate a case study in the academic domain.

The paper presents a method for adapting semantic web technologies on multiple criteria decision-making algorithms to endow to them dynamic characteristics. It also showcases the enhancement of the decision-making process by visual analytics.

The semantic enhanced ranking method enables the reproducibility and transparency of ranking results, while the visual representation of this information further benefits decision makers into making well-informed and insightful deductions about the problem.

This approach is suitable for application domains that are ranked on the basis of multiple criteria.

The discussed approach provides a dynamic ranking methodology, instead of focusing only on one application field, or one multiple criteria decision-making method. It proposes a framework that allows integration of multidimensional, domain-specific information and produces complex ranking results in both textual and visual form.

This study aims to provide a method to assess the perceptual impact of the visual complexity of building façades.

The research identifies the number of design elements and the variation in their position and colour as variables of visual complexity. It introduces the concepts of vertices and corners as atomic indicators on which the measurement of these variables is built. It measures visual complexity and its variables in images of building façades and analyses their relationships with participants' reactions. It reports on the effect of visual complexity on preferences, the adequacy of different methods in measuring visual complexity and the perceptual impact of each of its variables.

The research demonstrates that visual complexity can be assessed through the measure of its variables and their statistical mapping to users' preferences.

The manuscript provides the foundation for a planning/assessment tool for the visual control of the built environment using computer systems based on the preferences of residents through the examination of the relationship between the users and their environment. It creates a paradigm, which introduces a robust concept in the visual analysis of urban design.