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The ancient town of Lijiang is a representative place of ethnic minorities in China’s southwest border area jointly built by many ethnic groups. Its rich and diversified history, culture and architecture as well as its artistic and spiritual values need to be better retained and explored.

The protection and inheritance of Lijiang’s cultural heritage will be improved through the construction of digital memory resources. To guide Lijiang’s digital memory construction, this study explores strategies of digital memory construction by analyzing four case studies of well-known memory projects from China and America.

From the case studies analysis, factors of digital memory construction were identified and compared. Factors led to the discussion of strategies for constructing the digital memory of Lijiang within its design, construction and service phases.

The ancient town of Lijiang is a famous historical and cultural city in China, and it is also a representative place of ethnic minorities in the border area jointly built by many ethnic groups. The rich culture should be preserved and digitalized to offer better use for the whole nation.

Construction cost management is one of the important processes that should be achieved effectively and accurately for successful project delivery. Modern-day construction cost management demands a high level of spatial skills. Augmented reality (AR) can potentially increase the stakeholders’ spatial skills as a supportive technology to traditional cost management tools and techniques. AR is a breakthrough technology that could considerably ease execution in various industries, but AR applicability in cost management has not been studied extensively. Thus, this study aims to explore the use of AR in construction cost management tools and techniques.

Data were collected using a qualitative approach consisting of two rounds of the Delphi technique. A total of 22 experts in the construction and information technology fields were interviewed using a purposive sampling technique. The manual content analysis helped analyse data.

The study identified AR features with the potential to increase the usage of cost management tools and techniques. AR can enable spatial skills (abilities, thinking and tasks) in most cost management tools and techniques. However, technical, cultural and technical and cultural barriers obstruct the use of AR in the construction industry.

The usage of AR in construction cost management tools and techniques has not been examined in detail until now. Thus, the study was developed to meet the industry needs and fill the literature gap to investigate the potential use of AR in construction cost management tools and techniques.

This paper aims to discuss the scanning methodology depending on the close-range photogrammetry technique, which is appropriate for the precise three-dimensional (3D) modelling of objects in millimetres, such as the dimensions and structures in sub-millimetre scale.

The camera was adjusted to be tilted around the horizontal axis, while coded dot targets were used to calibrate the digital camera. The experiment was repeated with different rotation angles (5°, 10°, 15°, 20°, 25°, 30°, 50° and 60°). The images were processed with the PhotoModeler software to create the 3D model of the sample and estimate its dimensions. The features of the sample were measured using high-resolution transmission electron microscopy, which has been considered as a reference and the comparative dimensions.

The results from the current study concluded that changing the rotation angle does not significantly affect the results, unless the angle of imagery is large which prevent achieving about 20: 30% overlap between the images but, the more angle decreases, the more number of images increase as well as the processing duration in the programme.

Develop an automatic appropriate for the precise 3D modelling of objects in millimetres, such as the dimensions and structures in sub-millimetre scale using photogrammetry.

While exploring the information experience within multispecies families, the subjective nature of humans and non-human entities, living beings and non-living objects becomes evident. This paper aims to reveal the underlying significance of information within socio-physical living environments shared among humans, cats and dogs as companions.

Gaining inspiration from the information experience approach and posthumanism, this is a phenomenological paper. Empirical material related to lived experiences of participating families were gathered through multispecies ethnography methods, followed by phenomenological reflections. The paper has been written based on excerpt-commentary-units and the inclusion of videos and images as an approach to convey the richness of the lived experiences and multiple perspectives.

Findings are organised into three main sections, each capturing lived experiences of information and its utilization from various frames. The paper shows how living beings, both human and animal, use their physical, sensual and moving bodies to acquire and convey information to and from each other. Moving beyond the living beings, the study discusses how non-living objects in the physical environment of a multispecies family also shape information. Material objects, spatial locations and even plants became sources of information for the family members. Lastly, the paper delves into the social environment of the family, where all members, human and animal, are actively shaped by information within their social interactions and companionship.

Considering information distributed across species and material objects in a shared, more-than-human environment, the article suggests implications for an information experience approach. It emphasizes how information shapes the in-between humans, animals and their environment, highlighting their reliance on each other for understanding and living a good shared life. There is a need for future research to explore the information experience within the internal subjective minds of members of multispecies families, bridging the gap in the understanding of these external information and their internal information processes.

This article approaches the possibilities of photo elicitation as a technique for social research in the landscape of technology-mediated instantaneous interpersonal communication.

This case study, which involved persons with prison experience in the process of returning to the community, demonstrates how participant-generated photographs made with mobile handheld electronic devices and the meanings participants have attached to them allowed the research to take a co-creative turn.

The data analyzed show the potential of photo elicitation to build a link between researcher and researched that empowers the latter with agency in designing the results and also throughout the research process as a whole, thus allowing the former to reach a deeper level of understanding of the research participants' social reality.

The research conducted showcases the possibilities of this technique to approach the field of emotions from the ethnography and how they can build knowledge – especially in the work with vulnerable populations in vulnerable contexts – and generate new categories of analysis.

This study aims to determine museum experiences by analyzing the TripAdvisor reviews of the museum visitors in Gaziantep and offer suggestions for improving the visitors' experiences by taking museum curators' opinions.

The case study method was used as one of the qualitative approaches in the study. The research comprises two stages. TripAdvisor reviews about five museums in Gaziantep were analyzed in the first stage, and museum curators' opinions on the visitor complaint reasons and solution suggestions were discussed in the second stage.

The study showed that satisfying or non-satisfying experience factors might differ according to visitors, museum curators and both visitors and museum curators. Therefore, each museum curator should effectively manage every component of visitor experience factors by its target audience.

Although this study has some valuable findings and contributes to the literature, it also has limitations. The study's sample consists of five museums in Gaziantep. Further studies can be carried out on a larger population and sample. The data for determining visitor experiences, the first stage of the research, were obtained only from an online platform (TripAdvisor).

The proposed model provides a holistic perspective on evaluating and managing visitor experience. There may be structural problems (small size of the museum area, lack of parking spaces and elevators, etc.) with the museum beyond the manager's control. Also, the lack of information and communication (limited concept, lack of artifacts, etc.) causes criticisms of the museum.

This paper contributes to the museum management literature with a model for enriching the quality of the museum experience and increasing the museum's attractiveness. The study showed that museums contribute to the visitor's experience in all dimensions. While visitors thought museums primarily contribute to object experience, museum curators thought museums contribute more to visitors' cognitive experience and other experience elements.

The present study analyzed the visitor comments and the opinions of museum curators from a holistic perspective, considering the internal and external factors that are effective in the visitor experience, and revealed the reasons for the visitors' negative experience and the solution suggestions toward the improvement of the visitor experience.

This work aims to develop a web platform for inspecting roof structures for technical assistance supported by drones and artificial intelligence. The tools used were HTML, CSS and JavaScript languages; Firebase software for infrastructure; and Custom Vision for image processing.

This study adopted the design science research approach, and the main stages for the development of the web platform include (1) creation and validation of the roof inspection checklist, (2) validation of the use of Custom Vision as an image recognition tool, and (3) development of the web platform.

The results of automatic recognition showed a percentage of 77.08% accuracy in identifying pathologies in roof images obtained by drones for technical assistance.

This study contributed to developing a drone-integrated roof platform for visual data collection and artificial intelligence for automatic recognition of pathologies, enabling greater efficiency and agility in the collection, processing and analysis of results to guarantee the durability of the building.

The purpose of this article is to capture what the concept of sustainable events means for different stakeholders, what they think and express in social media about sustainable events, and so be able to take it into account when repurposing and repositioning events in life for the future in a responsible way based on sustainability.

Authors have performed the photographic analysis proposed by Albers and James in 1988 but adapted to social media, specifically Instagram. A content analysis has been carried out with the posts containing the hashtag #sustainableevents, based on dimensions such as temporal variants, geographic conditions, demographic characteristics or languages used. After that, a semiotic analysis has been held to see how these dimensions are related with the image and with the subjects/objects that are being portrayed.

Sustainable events is a term that can have many meanings, becoming an abstract term, which is not being used today in social networks by private individuals. Companies and content creators seem to use the term more as an advertising claim, to attract customers and followers, than as a real applicability in their day-to-day actions. They use the term “sustainable events” related especially to an environmental dimension, leaving aside the economic and the social dimension.

Nowadays, the photography through social media is one of the most powerful sources for communicating people awareness. Nevertheless, researchers are only starting to understand the impact of social media and technology on the habits of people. To the authors’ knowledge, this is one of the first analyses of Instagram posts based on a hashtag to analyse what different stakeholders express in relation to that hashtag.

Beneficiary photos on charity appeals are believed to engender prosocial behavior. This study explores photo framing of healthy and unhealthy beneficiary photos in the context of photo-rich online medical crowdfunding. Based on framing theory, emphasis framing effect (i.e. unhealthy photos only vs both healthy and unhealthy photos) and equivalency framing effect (i.e. healthy photos prior to unhealthy photos vs unhealthy photos prior to healthy photos) are identified.

A scenario-based experiment with 135 participants was used to empirically test the proposed research hypotheses. The subjects were randomly assigned to three treatment groups, with 45 subjects in each group. ANOVA, linear regression, and multiple mediation analysis were used to analysis data.

The results reveal that disclosing both healthy and unhealthy photos can elicit stronger sympathy and perceived need than merely disclosing unhealthy photos. Moreover, the order of unhealthy photos prior to healthy photos leads to a higher level of sympathy than the order of healthy photos prior to unhealthy photos. Furthermore, sympathy and perceived need are positively related to donation intention.

First, this study extends the photo-related research limited to certain characteristics of a single photo to the sequence effect of multiple photos. Second, this study contributes to framing theory by introducing photo framing, particularly the equivalence and emphasis framing effect of beneficiary photos. Finally, this study reveals the emotional and cognitive routes through which beneficiary photos stimulate prosocial behavior. It also offers practical guidance in the aspects of the framing effect of beneficiary photos for crowdfunding management.

An increasing number of images are generated daily, and images are gradually becoming a search target. Content-based image retrieval (CBIR) is helpful for users to express their requirements using an image query. Nevertheless, determining whether the retrieval system can provide convenient operation and relevant retrieval results is challenging. A CBIR system based on deep learning features was proposed in this study to effectively search and navigate images in digital articles.

Convolutional neural networks (CNNs) were used as the feature extractors in the author's experiments. Using pretrained parameters, the training time and retrieval time were reduced. Different CNN features were extracted from the constructed image databases consisting of images taken from the National Palace Museum Journals Archive and were compared in the CBIR system.

DenseNet201 achieved the best performance, with a top-10 mAP of 89% and a query time of 0.14 s.

The CBIR homepage displayed image categories showing the content of the database and provided the default query images. After retrieval, the result showed the metadata of the retrieved images and links back to the original pages.

With the interface and retrieval demonstration, a novel image-based reading mode can be established via the CBIR and links to the original images and contextual descriptions.