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This paper presents a 10-year systematic review of research on the visual framing of crises to identify the priorities, theories applied and trends in the scholarship of visual framing during crises. The gaps are analyzed to provide evidence-based recommendations for advancing future research.

A total of 269 articles published in 156 peer-reviewed communication journals between January 2014 to December 2023 were reviewed. Data were analyzed using open and axial qualitative coding. A codebook was developed for the quantitative coding and data were analyzed in SPSS descriptive statistics and chi-square tests to answer the research questions.

The proportion of visual framing of crises has remained the same in the last 10 years – there is significantly more research on the visual framing of non-crises. Overall, research on the visual framing of crises is largely exploratory/descriptive and could benefit from a research agenda that is more theory driven. Additionally, there is a skewed focus for research on North America compared to other regions, and for political communication and climate compared to other themes. Environmental sciences and engineering are the most widely investigated journal fields, while disaster is the most common typology studied when looking at the visual framing of crises.

The systematic literature review has some limitations – most particularly that the sample was drawn from a single publisher, which may not be exhaustive enough to represent the full population of articles in the field of visual communication. However, it is a systematic review of the publications that are officially aligned with three of the major communication organizations – the International Communication Association, National Communication Association and World Communication Association. However, future research considering the inclusion of an additional publishers, like Emerald, would further enrich scholarship in visual framing during crises. Second, manual coding of the articles could present potential differences in analysis and interpretation by other researchers. Despite the limitations, the study also provides some important insights into the present and future of the visual framing of crises.

Addressing gaps in the internationalization of visual crisis communication would expand studies for visual framing among underrepresented communities such as populations with low reading literacy, gender minorities and displaced communities and inform visual framing strategies for government and relevant institutions as primary information disseminators during crises.

Addressing the gaps identified in this systematic literature review on the visual framing of crises is important for extending theory in this relatively nascent field and guiding crisis visual framing strategies to mitigate uncertainty and panic, threats to stakeholder relationships, social vulnerabilities and the visual framing of stakeholder-centric crisis responses.

Based on available literature, this is the first systematic literature review investigating the use of all types of visuals used during all crisis typologies, reflecting the ubiquity of crises and the increased focus on the use of visuals in crisis communication in the last decade.

This study aims to examine the visual effects of cause-related marketing (CM) posts on Instagram, with a focus on image resolution and consumer engagement.

Three studies were conducted through an experimental design. Study 1 (N = 155) uncovered the mediation underlying the effects of image quality (low and high image resolution). Study 2 (N = 160) replicated the findings of the first study and extended the investigation by examining the mediator (fluency) and moderator (visual sensitivity). Study 3 (N = 291) further extended the effects of image resolution by demonstrating its interactive effects with the visual complexity of an Instagram post design in a 2 × 2 factorial experiment.

The serial mediation analysis demonstrated that high image resolution CM posts yielded more favorable evaluations in terms of brand credibility and information costs saved, subsequently leading to positive brand attitudes, purchase intentions and increased Instagram engagement. Processing fluency mediated image effects on brand credibility, while individual differences in visual sensitivity moderated the image effects. The image resolution effects were greater for visually complex CM posts compared to simple ones.

To one's best knowledge, little to no research has examined the image quality of Instagram posts in the context of CM and the extent to which such visual cues can affect consumers' brand evaluations and engagement on the platform.

Despite its practical significance, there exists a notable gap in understanding the specific role of CM posts on Instagram and the impact of visual elements on consumer behaviors. The current research findings aim to bridge the research gap.

Images and caption descriptions serve as important visual stimuli that influence consumer preferences; therefore, the current study focuses on property images and captions illustrated on the home pages of accommodation-sharing platforms. Specifically, this study investigates the relative importance of hue, brightness and saturation of a property image and caption description styles on potential consumers’ preferences.

A mixed-method approach was used, and a total of 293 valid responses were collected through a discrete choice experiment approach. Interviews were conducted for additional analyses to explore the detailed explanations.

The utility model demonstrated that the image’s saturation was the most critical attribute perceived by the respondents, followed by caption description style, hue and brightness.

This is one of the first studies to investigate the display of attributes on a digital accommodation platform by exploring potential customers’ stated preferences. This study focuses explicitly on images and captions illustrated on the home page of an accommodation booking platform. Detailed image investigation is also a new research area in sharing economy-related research.

Visual simultaneous localization and mapping (SLAM) has limitations such as sensitivity to lighting changes and lower measurement accuracy. The effective fusion of information from multiple modalities to address these limitations has emerged as a key research focus. This study aims to provide a comprehensive review of the development of vision-based SLAM (including visual SLAM) for navigation and pose estimation, with a specific focus on techniques for integrating multiple modalities.

This paper initially introduces the mathematical models and framework development of visual SLAM. Subsequently, this paper presents various methods for improving accuracy in visual SLAM by fusing different spatial and semantic features. This paper also examines the research advancements in vision-based SLAM with respect to multi-sensor fusion in both loosely coupled and tightly coupled approaches. Finally, this paper analyzes the limitations of current vision-based SLAM and provides predictions for future advancements.

The combination of vision-based SLAM and deep learning has significant potential for development. There are advantages and disadvantages to both loosely coupled and tightly coupled approaches in multi-sensor fusion, and the most suitable algorithm should be chosen based on the specific application scenario. In the future, vision-based SLAM is evolving toward better addressing challenges such as resource-limited platforms and long-term mapping.

This review introduces the development of vision-based SLAM and focuses on the advancements in multimodal fusion. It allows readers to quickly understand the progress and current status of research in this field.

This study is an “Action-Research-based” bridge that connects sketching and photographic processes. The article’s objective encompasses designing, assessing and validating a perceived difference between sketching and photography through a structured task by ensuring the systematic creation and implementation of the assignments. This study is part of a larger research project exploring the differences between thinking about sketching and final photographic outcomes.

This experimental mixed-method methodology was collected in three phases: the creation phase, where participants were asked to sketch and photograph a balanced composition; the evaluation phase, where the sketches and photographs were evaluated by “Self, Peer, and Independent” reviewers for their perceived differences. An analysis of variance (ANOVA) was implemented to test the result. In the validation phase, eye-tracking technology is applied to understand the subconscious eye movements of individuals.

This study of 37 samples has helped develop a self-study model in photography, as students have learnt to evaluate themselves critically. This experience will help students be active and reflective learners, thus increasing attention and retention in their course, specifically “Photography Design Education”. A pedagogical approach by design instructors for practical, student-friendly, process-oriented assignments for their photography courses in higher education.

The trans-mediation process requires cognition amongst different mediums, such as pencil and paper for sketching and light for light painting. Photography courses in design education need knowledge of the photo/light medium, contrasting with the understanding of sketching/drawing. Exploring and addressing research gaps for transforming and designing assignments based on adaptive understanding presents an exciting opportunity.

This study explores whether and how four main factors of short-branded video content (content matching, information relevance, storytelling and emotionality) facilitate consumer engagement (likes, comments and shares), as well as the moderating effect of the release time (morning, afternoon and evening) in such relationships.

This study uses Python to write programs to crawl relevant data information, such as consumer engagement and short video release time. It combines coding methods to empirically analyze the impact of short-branded video content characteristics on consumer engagement. A total of 10,240 Weibo short videos (total duration: 238.645 h) from 122 well-known brands are utilized as research objects.

Empirical results show that the content characteristics of short videos significantly affected consumer engagement. Furthermore, the release time of videos significantly moderated the relationship between the emotionality of short videos and consumer engagement. Content released in the morning enhanced the positive impact of warmth, excitement and joy on consumer engagement, compared to that released in the afternoon.

The findings provide new insights for the dissemination of products and brand culture through short videos. The authors suggest that enterprises that use brand videos consider content matching, information relevance, storytelling and emotionality in their design.

From a broader perspective, this study constructs a new method for comprehensively evaluating short-branded video content, based on four dimensions (content matching, information relevance, storytelling and emotionality) and explores the value of these dimensions for creating social media marketing success, such as via consumer engagement.

This paper aims to examine the image realism effect, studying how changing the front-of-package visual affects the acceptance of an insect-based food by consumers. By comparing reactions to realistic and less realistic images of an insect as an ingredient, this research investigated how visual imagery can affect consumers’ responses, reducing perceived disgust or increasing expected taste.

Three experiments studied the impact of realistic (photo) versus less realistic (drawing) images for two types of insects (mealworm, cricket) on consumers’ psychological distance from the image, perceived disgust, expected taste, willingness to eat, purchase intention and food choice.

Study 1 demonstrates that using a less realistic insect image reduces perceived disgust, with psychological distance from this image and perceived disgust mediating realism effect on willingness to eat. Study 2 shows that a less realistic insect image, perceived as more remote, improves expected taste and willingness to eat. Study 3 confirms the results by measuring behavior: consumers were more likely to choose the product with the less realistic image.

The research focused on one kind of product and two ways of depicting this product, limiting the generalizability of the findings for other visual representations and product categories.

The findings suggest how brand managers can use the image realism effect on the packaging of novel, sustainable products to influence consumers, reducing their disgust and increasing their expected taste.

This research breaks new ground by explaining how visual cues on packaging affect the acceptance of insect-eating, drawing on construal level theory.

Based on sensory marketing theory and cognitive appraisal theory, this study investigates whether and how the background visual complexity of live-streaming affects consumers' purchase intention and reveals the underlying mechanisms through which background visual complexity influences consumers' purchase decisions.

The experiment was conducted with 180 college students, using eye-tracking technology to explore the impact mechanism of live background visual complexity on consumers' purchase intention, considering three types of background visual complexity (high vs medium vs low) and two levels of need for cognitive closure (high vs low).

Firstly, the background visual complexity of live-streaming positively influences consumers' purchase intention by eliciting positive emotions (pleasure and arousal), and the relationship between consumer emotions and purchase intention is nonlinear. Secondly, need for cognitive closure to significantly moderate the influence of background visual complexity on purchase intention.

The limited sample size makes it difficult to generalize to other consumer groups. Also, the study only focuses on one visual factor, lacking comprehensive analysis from multiple perspectives.

It is recommended that live e-commerce companies optimize the visual design of live-streaming backgrounds and identify consumer traits to match the visual complexity with consumers' level of need for cognitive closure, thereby stimulating positive emotions and facilitating more satisfactory shopping decisions.

This paper addresses an interesting and practical issue related to the effects of live background visual complexity on consumers' purchase intention.

This paper aims to explore the influence of a particular label surface texture, i.e. embossing, on consumer purchase intentions and willingness to pay. This paper further highlights the underlying mechanisms explaining this relationship by unveiling the mediating role of willingness to touch and perceived package uniqueness.

Based on the visual salience theory and the stimulus–organism–response (SOR) model, this paper tests mediations and serial mediations across two online experiments and evidence from a laboratory experiment.

Study 1 reveals perceived package uniqueness as the mediator, such that embossed elements on the label increase perceived uniqueness, hence leading to greater purchase intentions and willingness to pay. In addition, Study 2 replicates these results and goes further by demonstrating the positive effect of embossing on purchase intentions and willingness to pay through willingness to touch then perceived package uniqueness.

The findings provide insightful managerial implications by drawing attention to the importance of using embossed elements on packaging, particularly when companies seek to differentiate themselves from competitors by stimulating consumers to touch their product packaging and having them perceive their products as unique.

Using visual salience theory and the SOR model, this research is, to the best of the authors’ knowledge, the first to shed light on the effect of embossing as a visual element of the packaging design on willingness to touch the product (haptics) and perceived uniqueness, ultimately enhancing purchase intentions and willingness to pay.

This study aims to explore image-based visual price determinants (image features and visual aesthetic perception) and how image features affect Airbnb listing price on a sharing accommodation platform.

The study uses an SOR model and a hedonic price model to examine the connections between the characteristics of image features, visual aesthetic perception and Airbnb listing prices. The model is then examined by an econometric model using data from Insideairbnb.com.

Empirical results revealed that image features have a significant positive effect on visual aesthetic perception, visual aesthetic perception has a significant positive effect on Airbnb listing price and visual aesthetic perception has a significant mediating effect between image features and Airbnb listing price.

This study contributes to the relationship and effect mechanism among image features, visual aesthetic perception and Airbnb listing price and has some implications for both property operators and the sharing accommodation platform.

本研究探讨了基于图像的视觉价格决定因素（图像特征和视觉美学感知）以及图像特征如何影响共享住宿平台Airbnb价格。

本研究采用SOR模型和hedonic价格模型来检验图像特征特征、视觉美感与Airbnb房源价格之间的关系。然后使用Insideairbnb.com上的数据, 通过计量经济学模型对该模型进行检验。

实证结果显示：1）图像特征对视觉美学感知有显著的正向影响; 2）视觉美学感知对Airbnb价格有显著的正向影响; 3）视觉美学感知在图像特征和Airbnb价格之间有显著的中介效应。

本研究有助于探讨图像特征、视觉美学感知和Airbnb价格之间的关系和影响机制, 对房源经营者和共享住宿平台都有一定的借鉴意义。

Este estudio explora los determinantes visuales del precio basados en las imágenes (características de las imágenes y percepción estética visual) y cómo afectan las características de las imágenes al precio de los anuncios de Airbnb en una plataforma de alojamiento compartido.

El estudio emplea un modelo SOR y un modelo de precios hedónicos para examinar las conexiones entre las características de los rasgos de la imagen, la percepción estética visual y los precios de Airbnb. A continuación, se examina el modelo mediante un modelo econométrico utilizando datos de Insideairbnb.com.

Los resultados empíricos revelan que 1) las características de la imagen tienen un efecto positivo significativo sobre la percepción estética visual, 2) la percepción estética visual tiene un efecto positivo significativo sobre el precio de los anuncios de Airbnb, y 3) la percepción estética visual tiene un efecto mediador significativo entre las características de la imagen y el precio de los anuncios de Airbnb.

Este estudio contribuye al mecanismo de relación y efecto entre las características de la imagen, la percepción estética visual y el precio del anuncio de Airbnb, y tiene algunas implicaciones tanto para los operadores inmobiliarios como para la plataforma de alojamiento compartido.