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The purpose of this paper is to develop a mobile service, based on anonymous location-based data, to help students find available reading rooms on a university campus. To evaluate this mobile service, both a usability test and a technology acceptance test were carried out.

The research followed a design science approach, including developing a prototype and evaluating the developed prototype.

The results from the usability test indicated good usability of the developed mobile service. The results from the technology acceptance test demonstrated students’ intention to use this mobile service. Most respondents indicated that they would like to use this mobile service to find available reading rooms when they are on campus.

The results imply that there are other contexts where anonymous location-based data are also useful. A similar mobile service can be developed for other contexts, such as, hospital complexes, shopping malls, and airports.

To the authors best knowledge, the authors have not found any mobile services aiming at counting the density of people residing in a room by using anonymous user location-based data on a university campus. This research fills this gap by developing the mobile service, called finding reading rooms.

Nowadays, WiFi indoor positioning based on received signal strength (RSS) becomes a research hotspot due to its low cost and ease of deployment characteristics. To further improve the performance of WiFi indoor positioning based on RSS, this paper aims to propose a novel position estimation strategy which is called radius-based domain clustering (RDC). This domain clustering technology aims to avoid the issue of access point (AP) selection.

The proposed positioning approach uses each individual AP of all available APs to estimate the position of target point. Then, according to circular error probable, the authors search the decision domain which has the 50 per cent of the intermediate position estimates and minimize the radius of a circle via a RDC algorithm. The final estimate of the position of target point is obtained by averaging intermediate position estimates in the decision domain.

Experiments are conducted, and comparison between the different position estimation strategies demonstrates that the new method has a better location estimation accuracy and reliability.

Weighted k nearest neighbor approach and Naive Bayes Classifier method are two classic position estimation strategies for location determination using WiFi fingerprinting. Both of the two strategies are affected by AP selection strategies and inappropriate selection of APs may degrade positioning performance considerably.

The RDC positioning approach can improve the performance of WiFi indoor positioning, and the issue of AP selection and related drawbacks is avoided.

The RSS-based effective WiFi indoor positioning system can makes up for the indoor positioning weaknesses of global navigation satellite system. Many indoor location-based services can be encouraged with the effective and low-cost positioning technology.

A novel position estimation strategy is introduced to avoid the AP selection problem in RSS-based WiFi indoor positioning technology, and the domain clustering technology is proposed to obtain a better accuracy and reliability.

This paper aims to present an augmented reality (AR) application to aid the elderly in library reference search. The application supports the elderly in searching books and videos in a large library when librarians have insufficient time to meet their needs. The elderly searching in a large library could be difficult for them due to the vast area, complicated online library catalogs and their physical deterioration, such as failing eyesight, tendinitis and memory problems. Our system, SearchAR, fully supports the 3D images of object content based on books and videos in Ling Tung University (LTU) library catalogs. Using the latest AR technology, users can use mobile phone to scan the quick response (QR) code in front of the LTU library, and then the elderly can experience LTU library map labeled by different colors in real-time and understand the locations of the video areas and book shelves areas. Later, they can use SearchAR to scan the QR codes on bookshelves, books or videos to view the 3D graphics without reading complicated catalogs and content. The results show that among the images, the elderly recognition of the “3 D images” was the highest, and the experimental group using AR technology as a searching aid shows a higher searching effectiveness than the control group; 60 per cent of the elderly felt they saved more time for searching books and videos with the help of SearchAR, and it was easy to arouse their association; the elderly indicated that combined image of the library map and the labels with different colors are clear and simple; the content of books and videos are easy associated with the 3D images; the elderly mentioned that using SearchAR is a great experience without any reading complicated online catalogs. Finally, this study concludes that AR technology does enhance the elderly searching ability in LTU large library.

The SearchAR application was an integrating library catalog, which provides AR and 3D graphics. The elderly can also use SearchAR to see a library map and every library element via 3D graphics before they start searching in a wide area.

This makes it easier for elderly to navigate a library without using complicated online catalogs, and it reduces time spent on reading and searching.

AR has been used for a variety of guiding and educational purposes. However, AR has been rarely applied to supplement traditional library services for elderly.

Due to recent developments of indoor location-tracking technologies, brick-and-mortar retailers are now able to add location-based marketing capabilities to their existing retail apps, providing retailers with new opportunities to interact with customers inside of their stores. The aim of this study is to identify factors influencing the customers' adoption intention of location-based retail apps for stationary retailing.

Based on the technology acceptance model, a conceptual model was developed. A Web-based survey was conducted in Germany with a final sample of 501 cases. Structural equation modelling was performed to test the hypotheses.

The results confirmed the positive relationship between attitude and the customers' intention to use location-based retail apps. Perceived usefulness and perceived enjoyment promote a positive attitude toward location-based retail apps, while privacy concerns and fear of spam hinder the formation of a favorable attitude. Subjective norms have a positive effect on customers' usage intention.

The results help retailers who want to establish location-based retail apps at the point of sale (e.g. in the context of omni-channel strategies).

As previous research about location-based apps has mainly used empirical data from either Chinese or American samples, less is known about the perception of European customers. Research indicates that existing findings might not be transferable to European countries due to differences in values, social norms or regulations. Also, the failure of Shopkick in Germany illustrates the need for more research. Based on this, using a German sample to answer the research question, this study aims to provide a European perspective on location-based retail apps, and thereby extend existing research.

This study aims to investigate users’ adoption of bike sharing systems in China.

This research combined perceived risk factors with existing technology diffusion theories (e.g. technology acceptance model and unified theory of acceptance and use of technology) to develop a research model to examine users’ adoption of bike sharing systems in China. As a result, a research model with 11 hypotheses was developed. The developed research model was empirically tested using data collected from a survey of 298 users in China. Structural equation modeling was used to analyze the collected data.

The findings indicated that perceived usefulness, facilitating conditions and perceived risks were important determinants to the adoption of bike sharing systems. However, perceived ease of use and social influence did not have significant positive impacts on users’ behavioral intention to use bike sharing systems.

It is important for service providers to dedicate their time and efforts in maintaining and repairing bikes to ensure that the bikes are in a good condition to be used. System providers need to work on good solutions to better protect users’ personal information and location information.

This study is first of its kinds in investigating the adoption of bike sharing systems by combining technology diffusion theories and perceived risk theory in China.

本论文旨在研究用户在中国使用共享单车系统的情况。

本论文结合感知风险因素和多个技术扩散理论（比如TAM, UTAUT）来开发一个研究模型, 以研究用户在中国使用共享单车系统的情况。因此, 本论文用十一条假设搭建了一个研究模型。这个研究模型使用问卷采样方式, 收取298份中国用户问卷, 来进行测量。样本通过结构方程模型来进行分析测量。

研究结果表明, 感知实用性、辅助条件、感知风险等是重要因素, 决定着共享单车系统的使用。然而, 方便使用和社会影响等因素对用户使用共享单车系统的意向并没有显著积极影响。

研究型论文

服务提供者投入时间和精力来维护维修单车是非常重要的, 这样能保证单车保持在良好的状态以备用户使用。系统供应商需要找到好的解决方式, 来更好地保护个人信息和地点信息。

本论文是首个类似论文, 结合技术扩散理论和感知风险理论, 在中国研究共享单车系统的使用情况。

UTAUT, TAM, 感知风险, 共享单车系统,使用

The purpose of this paper is to develop a facade for seamlessly using locating services and enabling easy development of an application with indoor and outdoor location information without being aware of the difference of individual services. To achieve this purpose, in this paper, a unified locating service, called KULOCS (Kobe-University Unified LOCating Service), which horizontally integrates the heterogeneous locating services, is proposed.

By focusing on technology-independent elements [when], [where] and [who] in location queries, KULOCS integrates data and operations of the existing locating services. In the data integration, a method where the time representation, the locations and the namespace are consolidated by the Unix time, the location labels and the alias table, respectively, is proposed. Based on the possible combinations of the three elements, an application-neutral application programming interface (API) for the operation integration is derived.

Using KULOCS, various practical services are enabled. In addition, the experimental evaluation shows the practical feasibility by comparing cases with or without KULOCS. The result shows that KULOCS reduces the effort of application development, especially when the number of locating services becomes large.

KULOCS works as a seamless facade with the underlying locating services, the users and applications consume location information easily and efficiently, without knowing concrete services actually locating target objects.

The aim of this research is to enable web‐based tracking and guiding by integrating location‐awareness with the Worldwide Web so that the users can use various location‐based applications without installing extra software.

The concept of web‐based tracking and guiding is introduced and the relevant issues are discussed regarding location‐aware web systems, location determination, location‐dependent content query and personalized presentation. The framework of the web‐based tracking and guiding system – the Web‐Based Guide is proposed, and its prototypical implementation is presented. The main design principles are making use of existing web technologies, making use of available and cheap devices, general‐purpose and lightweight client‐side, and good scalability.

The paper presents the general‐purpose and modular framework of the Web‐Based Guide, which consists of the Location Server, the Content Server, the Guiding Web Server and the clients which are standard web browsers extended with the Location Control. With such a framework, location‐based applications can offer the services on the web.

The performance of the system should be evaluated and improved, such as the number of the concurrent sessions that the system can sustain, and the workload on the system when in the tracking mode.

The paper proposes a framework for personalized tracking and guiding systems on the web, which can be used in campuses, museums, national parks and so on.

Context awareness is one of the key aspects of pervasive computing systems. In such systems, a plethora of dynamic context information needs to be constantly retrieved, soundly interpreted, rapidly processed, maintained in various repositories, and securely disseminated. Thus, a flexible, scalable and interoperable context representation scheme needs to be established and solid context management mechanisms need to be adopted, which will perform well in large‐scale distributed pervasive systems. This paper elaborates on the COMPACT context middleware that has been designed to cope with the issues above and saturate pervasive computing environments with context awareness functionality.

This article is based on a report to the Committee on Citizens' Freedoms and Rights, Justice and Home Affairs of the European Parliament by IPTS, addressing increasing concerns about the impact of emerging information and communication technologies and services on security and personal privacy. This paper presents the findings on location‐based services from the above report. It explores in more depth the effect that the processing of location data (for use in services supported by mobility and integrated within the ambient intelligence context), will have on the future balance between security and privacy.

The motivation for this research is the emergence of mobile information systems where information is disseminated to mobile individuals via handheld devices. A key distinction between mobile and desktop computing is the significance of the relationship between the spatial location of an individual and the spatial location associated with information accessed by that individual. Given a set of spatially referenced documents retrieved from a mobile information system, this set can be presented using alternative interfaces of which two presently dominate: textual lists and graphical two‐dimensional maps. The purpose of this paper is to explore how mixed reality interfaces can be used for the presentation of information on mobile devices.

A review of relevant literature is followed by a proposed classification of four alternative interfaces. Each interface is the result of a rapid prototyping approach to software development. Some brief evaluation is described, based upon thinking aloud and cognitive walk‐through techniques with expert users.

The most suitable interface for mobile information systems is likely to be user‐ and task‐dependent; however, mixed reality interfaces offer promise in allowing mobile users to make associations between spatially referenced information and the physical world.

Evaluation of these interfaces is limited to a small number of expert evaluators, and does not include a full‐scale evaluation with a large number of end users.

The application of mixed reality interfaces to the task of displaying spatially referenced information for mobile individuals.