Search results

The study aims to analyse library user preferences in the willingness to read and pay for e-books, using a sample of both active readers (users of public library services) and non-users (the general population).

Two empirical surveys were conducted from August to November of 2019; the research sample consisted of 1,334 users from the Municipal Library of Prague and 1,101 non-users from the general Czech population. The research was focussed on e-book user preferences. The willingness to pay (WTP) for e-book services and the determinants that affect this willingness were also examined.

The results show the specific approach of Czech readers, whose main determinant of WTP is not the content, but the price and method of its payment (allocation). Some people prefer a cheaper annual lump sum, whereas others may prefer a charge of small regular fees. The decision to pay depends on their reading or payment habits.

This study also aims to clarify the demand for various types of digital media in Czech libraries and the preferred distribution models. Furthermore, the study determines the dependence of the preferences of library users in their WTP for e-books using different evaluation models. The originality of this study is in the evaluation of the determinants of WTP for e-books, which makes this study unique, and the findings should contribute to the expansion of existing knowledge in the field of information science.

This paper aims to explore the meaning of smart office environments from a user perspective by investigating user preferences and expectations.

Eleven semi-structured interviews with the users after moving into a smart office building of a Dutch Municipality and an observation as complementary data were conducted. The data were analysed based on the grounded theory and thematic analysis, combining a reflexive approach to the literature review.

Two main themes were revealed addressing user expectations and preferences for smart office environments: “enhanced interaction” with the social and physical office environment and “sense-making” of the smart concept (or smartness). Within these themes, basic and smart office aspects were identified and classified based on their association with smart office concepts or technology.

The findings reveal the meaning of the smart office concepts from a user perspective by highlighting the importance of user experience on enhanced interaction and sense-making of the smart office concept, equipped with basic and smart aspects.

To the best of the authors’ knowledge, this study is the first to qualitatively examine drivers underlying the meaning of smart office concepts from a user point of view. Organisations, environmental psychologists, designers and managers can use the findings of this study to develop guidelines for a successful smart office design.

With the continuous increase of users, resources and tags, social tagging systems gradually present the characteristics of “big data” such as large number, fast growth, complexity and unreliable quality, which greatly increases the complexity of recommendation. The contradiction between the efficiency and effectiveness of recommendation service in social tagging is increasingly becoming prominent. The purpose of this study is to incorporate topic optimization into collaborative filtering to enhance both the effectiveness and the efficiency of personalized recommendations for social tagging.

Combining the idea of optimization before service, this paper presents an approach that incorporates topic optimization into collaborative recommendations for social tagging. In the proposed approach, the recommendation process is divided into two phases of offline topic optimization and online recommendation service to achieve high-quality and efficient personalized recommendation services. In the offline phase, the tags' topic model is constructed and then used to optimize the latent preference of users and the latent affiliation of resources on topics.

Experimental evaluation shows that the proposed approach improves both precision and recall of recommendations, as well as enhances the efficiency of online recommendations compared with the three baseline approaches. The proposed topic optimization–incorporated collaborative recommendation approach can achieve the improvement of both effectiveness and efficiency for the recommendation in social tagging.

With the support of the proposed approach, personalized recommendation in social tagging with high quality and efficiency can be achieved.

Increasing demand on rail transport speeds up the introduction of new technical systems to optimize the rail traffic and increase competitiveness. Remote control of trains is seen as a potential layer of resilience in railway operations. It allows for operating and controlling automated trains and communicating and coordinating with other stakeholders of the railway system. This paper aims to present the first results of a multi-phased simulator study on the development and optimization of remote train driving concepts from the operators’ point of view.

The presented concept was developed by benchmarking good practices. Two phases of iterative user tests were conducted to evaluate the user experience and preferences of the developed human-machine-interface concept. Basic training requirements were identified and evaluated.

Results indicate positive feedback on the overall system as a fallback solution. HMI elicited positive emotions regarding pleasure and dominance, but low arousal levels. Train drivers had more conservative views on the system compared to signalers and students. The training activities achieved increased awareness and understanding of the system for future operators. Inclusion of potential users in the development of future systems has the potential to improve user acceptance. The iterative user experiments were useful in obtaining some of the needs and preferences of different user groups.

Multi-phase user tests were conducted to identify and to evaluate the requirements and preferences of remote operators using a simplified HMI. Training analysis provides important aspects to consider for the training of future users.

The purpose of this paper is to provide a guiding framework for studying the travel patterns of PT users. The combination of public transit (PT) users’ travel data and user profiling (UP) technology to draw a portrait of PT users can effectively understand users’ travel patterns, which is important to help optimize the scheduling of PT operations and planning of the network.

To achieve the purpose, the paper presents a three-level classification method to construct the labeling framework. A station area attribute mining method based on the term frequency-inverse document frequency weighting algorithm is proposed to determine the point of interest attributes of user travel stations, and the spatial correlation patterns of user travel stations are calculated by Moran’s Index. User travel feature labels are extracted from travel data containing Beijing PT data for one consecutive week.

In this paper, a universal PT user labeling system is obtained and some related methods are conducted including four categories of user-preferred travel area patterns mining and a station area attribute mining method. In the application of the Beijing case, a precise exploration of the spatiotemporal characteristics of PT users is conducted, resulting in the final Beijing PTUP system.

This paper combines UP technology with big data analysis techniques to study the travel patterns of PT users. A user profile label framework is constructed, and data visualization, statistical analysis and K-means clustering are applied to extract specific labels instructed by this system framework. Through these analytical processes, the user labeling system is improved, and its applicability is validated through the analysis of a Beijing PT case.

This study surveyed users and librarians who have been transforming libraries into a complex cultural space by reflecting the trends of the times, investigated and analyzed various status of complex cultural spaces, including perceptional differences among different groups and made an attempt to present a direction for the diversification of library's role.

This study analyzes the difference between the level of importance and the level of satisfaction for the operational style and use of complex cultural spaces, current status and use of programs and services of libraries as well as the perceptual difference between librarians and users. In order to do so, opinions were collected from librarians who operate complex cultural spaces and users who use the spaces.

First, the study compared to see if there is a difference between the preferred complex cultural space of libraries and the type of complex cultural space actually provided by libraries. Libraries do not only have data spaces but also made education space, performance space, exhibition space, rest space, community space and experience space available for users. Users were found to more frequently use exhibition space, performance space, rest space and education space among other spaces whereas the utilization rate of community space and experience space was identified to be significantly low. Second, this study also compared to see if there is a difference between users' preference for the type of programs operated by library's complex cultural spaces and the actual programs offered. The comparison of perceived differences between librarians who are the operators of the programs and users who participate in the programs is to compare and improve the consistency of supply and demand. As a result, it was found that the supply and demand for educational programs were most consistent, which would lead to higher participation rate and enhanced operational performance and satisfaction with libraries. Lastly, investigations were carried out to see whether there is a difference in the levels of importance and satisfaction for the operation of complex cultural spaces and perceptional difference between libraries and users. Comprehensively analyzing the results, in the first quadrant of “Keep the Good Work,” librarians showed a higher level of perception compared to users. In particular, librarians were found to have a different perception towards programs (contents) compared to users. Based on such results, a systematic program must be considered when planning for library programs in order to increase uses' satisfaction. In addition, in the second quadrant of “Concentrate Here,” with a high importance and low satisfaction, users showed a high level of importance for programs (contents) whereas libraries identified accessibility as a more important factor, indicating a big perceptional difference between users and librarians.

This study examines the differences between the opinions of operators who create complex cultural spaces and operate programs in the spaces and the opinions of users who participate in the spaces and programs, and it was found that no other studies in Korea and overseas have done the same yet. In addition, it carries a significant meaning in that it does not only investigate the perceptions towards importance and satisfaction, but also suggests improvement directions based on the perceptional differences between users and librarians. In other words, librarians who implement policies at actual sites seem to be able to reflect the results of this study and decide the operation direction of the library.

Users also participate in various services and programs that library's complex cultural spaces offer and enjoy their cultural life. It carries a significant meaning in that the study evaluates the importance-satisfaction of factors affecting the use of complex cultural spaces of libraries by examining perceptions of those users who actually have the experience of using library's complex cultural spaces when the number of libraries attempting to transform into a multicultural space increases. The study made an attempt to enrich the knowledge and understanding of users' visit/use of libraries, suggest improvement directions and factors to focus. Continuous efforts and additional studies must be made in order to vitalize library's complex cultural spaces and secure the position of a cultural facility as well as a communication space located at the heart of regional society.

The purpose of this paper is twofold. First, it investigates the characteristics of Hanfparade 2022 – the biggest prolegalization festival in Germany – and its visitors, as well as the main reason for participation in Hanfparade. Findings are compared to those from Hanfparade 2016 to explore whether the main reason for festival attendance has changed since the legalization of medical cannabis in 2017 and since the announcement of plans for cannabis legalization. Second, this paper assesses Hanfparade participants’ views on cannabis legalization in Germany, in particular their opinions on and their preferences for retail supply options.

This study is a replication of a research conducted in 2016 at the same festival in Berlin, with a slightly adapted questionnaire. In this study, a combination of qualitative and quantitative research methods was used: observation at the festival, interviews before and after the festival with the organizer and a survey among festival attendees (n = 183).

Protest still looks relevant for the participants at Hanfparade, and the announcement of plans for legalization does not seem to downgrade this feeling. The participants have positive opinions about self-supply through home cultivation, noncommercial supply through Cannabis Social Clubs (CSCs) and commercial supply through stores similar to Dutch coffee shops. However, positive opinions do not necessarily reflect a personal preference, e.g. CSCs were very low in personal preferences. The options of home cultivation and CSCs were more popular among daily users.

This study contributes to the ongoing debate in Germany, focusing on views of cannabis users.

Customization by segmenting within human–computer interaction is an emerging phenomenon. Appealing graphical elements that cater to user needs are considered progressively important, as the way a graphic is visually represented can greatly contribute to the interaction. However, aesthetic perceptions are subjective and may differ by target group. Understanding variations in user perceptions may aid in design processes; therefore, we set out to investigate the effects of demographic differences relating to perceptions of graphical user interface (GUI) element (i.e. game app icon) aesthetics.

The authors employed a vignette experiment with random participant (n = 513) assignment to evaluate 4 icons from a total of 68 pre-selected mobile game icons using semantic differential scales. This resulted in a total of 2052 individual icon evaluations. Regression analyses were performed with the effects of age, gender and time using graphical user interfaces (i.e. app stores) and the interactions of these variables relating to perceptions of GUI element aesthetics.

The results indicate that, overall, demographic factors have relatively little effect on how icons are perceived. Significant relations suggest that experienced users, younger audiences and women are more critical in their perception of aesthetic excellence, and that perceptions change for younger women. The implications of the findings are discussed via adaptive decision-making theory.

In the context of graphical user interface element aesthetics, demographic differences have received minimal attention as moderating variables regardless of their relevance in design and development. Hence, it merits further research.

Recommender systems collect information about users and businesses and how they are related. Such relation is given in terms of reviews and votes on reviews. User reviews gather opinions, rating scores and review influence. The latter component is crucial for determining which users are more relevant in a recommender system, that is, the users whose reviews are more popular than the average user’s reviews.

A model of measure of user influence is proposed based on review and social attributes of the user. User influence is also used for determining how influenced has been a business being based on popular reviews.

Results indicate there is a connection between social attributes and user influence. Such results are relevant for marketing, credibility estimation and Sybil detections, among others.

The proposed model allows search parameterization based on the social attribute weights of users, reviews and businesses. Such weights defines the relevance on each attribute, which can be adjusted according to the search needs. Popularity results are then a function of weight preferences on user, reviews and businesses data join.

Recommendation systems are widely used in tourism in order to provide people personalized suggestions that would make their trip memorable. Nowadays, mobile assisted guided tours based on recommendation services are used in museums to enhance visitors ’ experience. However, all those systems have been designed to target indoor or outdoor museum visits. Is it feasible to design a system that supports mobile services that connect a museum visit to artworks situated outdoor in the city environment? Is it possible to connect the artworks of a city center to the exhibits of a museum? In this work, we attempt to give a first answer to such questions proposing and implementing a set of services that connects the museum to the city public space. In order to show the strength of the implemented services, we present a basic usage scenario along with a first system evaluation showing positive results.