Modeling user navigation

This paper proposes the use of neural networks as a tool for studying navigation within virtual worlds. Results indicate that the network learned to predict the next step for a given trajectory. The analysis of hidden layer shows that the network was able to differentiate between two groups of users identified on the basis of their performance for a spatial task. Time series analysis of hidden node activation values and input vectors suggested that certain hidden units become specialised for place and heading, respectively. The benefits of this approach and the possibility of extending the methodology to the study of navigation in Human Computer Interaction applications are discussed

Three levels of metric for evaluating wayfinding

Three levels of virtual environment (VE) metric are proposed, based on: (1) users’ task performance (time taken, distance traveled and number of errors made), (2) physical behavior (locomotion, looking around, and time and error classification), and (3) decision making (i.e., cognitive) rationale (think aloud, interview and questionnaire). Examples of the use of these metrics are drawn from a detailed review of research into VE wayfinding. A case study from research into the fidelity that is required for efficient VE wayfinding is presented, showing the unsuitability in some circumstances of common metrics of task performance such as time and distance, and the benefits to be gained by making fine-grained analyses of users’ behavior. Taken as a whole, the article highlights the range of techniques that have been successfully used to evaluate wayfinding and explains in detail how some of these techniques may be applied

Navigation and wayfinding in learning spaces in 3D virtual worlds

There is a lack of published research on the design guidelines of learning spaces in virtual worlds. Therefore, when institutions aspire to create learning spaces in Second Life, there are few studies or guidelines to inform them except for individual case studies. The Design of Learning Spaces in 3D Virtual Environments (DELVE) project, funded by the Joint Information Systems Committee in the UK, was one of the first initiatives that identified through empirical investigations the usability problems associated with learning spaces in virtual worlds and the potential impact on student experience. The findings of the DELVE project revealed that applying architectural principles of real-world designs to virtual worlds may not be sufficient. In fact, design principles from urban planning, Human–Computer Interaction (HCI), web usability, geography, and psychology influence the design of learning spaces in virtual worlds. In DELVE, the researchers derived several usability guidelines: form should follow function, that is, that the shape of a building or object should be primarily based upon its intended function or purpose; use real-world metaphors such as mailboxes for students to leave messages, or search pods similar to real-world information kiosks; consider realism for familiarity and comfort; design for storytelling; or design to orient the user at the landing point, etc. However, the investigations in DELVE identified that the key usability problems experienced by users in 3D learning spaces are related to navigation and wayfinding. In this chapter, we report on the Navigation and Wayfinding (NAVY) project which builds on the findings of the DELVE project. As the most commonly used virtual world for education, Second Life was the logical choice for conducting the NAVY project research. Based upon empirical investigations of a number of islands in Second Life (an island is a space which is analogous to a website in a 2D environment) involving user-based studies, heuristic evaluations, and iterative reviews of the heuristics by usability experts, we have derived over 200 guidelines for the design of learning spaces in virtual worlds.

Generating trails automatically, to aid navigation when you revisit an environment

A new method for generating trails from a person’s movement through a virtual environment (VE) is described. The method is entirely automatic (no user input is needed), and uses string-matching to identify similar sequences of movement and derive the person’s primary trail. The method was evaluated in a virtual building, and generated trails that substantially reduced the distance participants traveled when they searched for target objects in the building 5-8 weeks after a set of familiarization sessions. Only a modest amount of data (typically five traversals of the building) was required to generate trails that were both effective and stable, and the method was not affected by the order in which objects were visited. The trail generation method models an environment as a graph and, therefore, may be applied to aiding navigation in the real world and information spaces, as well as VEs

Digital places: location-based digital practices in higher education using Bluetooth Beacons

The physical campus is a shared space that enables staff and students, industry and the public, to collaborate in the acquisition, construction and consolidation of knowledge. However, its position as the primary place for learning is being challenged by blended modes of study that range from learning experiences from fully online to more traditional campus-based approaches. Bluetooth beacons offer the potential to combine the strengths of both the digital world and the traditional university campus by augmenting physical spaces to enhance learning opportunities, and the student experience more generally. This simple technology offers new possibilities to extend and enrich opportunities for learning by exploiting the near-ubiquitous nature of personal technology. This paper provides a high-level overview of Bluetooth beacon technology, along with an indication of some of the ways in which it is developing, and ways that it could be used to support learning in higher education