BeeAR: Augmented Reality Beeline Navigation for Spatial Knowledge Acquisition

In this article, we address the central topic of the call for papers, childhood educates space, from the perspective of children’s and young people’s spatial knowledge. We argue that both childhood and youth educate as much as are educated by space. To shed light on this dynamic and complex interaction, we focus on the arenas and agencies at play within the production and acquisition of spatial knowledge. The term arena refers to the spatial conditions that delineate an area of activity related to the production and acquisition of spatial knowledge, and agency denotes the crucial means, agents, and tools that are instrumental in and buttress such area of activity. To render operative the analysis, we draw on two driving themes: (i) the gradual development of a comprehensive conception of space and (ii) its accompanying (and traversing) learning processes. Moreover, to substantiate the assertion that education between childhood and youth and space is mutually constitutive, we present a selection of findings from a qualitative meta-analysis conducted to reconstruct the evolution of young people’s spatial knowledge from the 1970s onwards. All in all, we claim that the process of production and acquisition of spatial knowledge forms the basis of, on the one hand, the keenness and depth of the perception that children and young people have of the physical world and, on the other, the ways they subjectively and symbolically characterize it.

Autonomous vehicles, which free drivers from driving, are gaining increasing interest for future travel needs. But the degradation of driver’s spatial knowledge will likely worsen when drivers no longer need to actively steer nor pay attention to the environment. This study extends the theory of visualising distant landmarks on mobile phone to windshield using Augmented Reality (AR), to support spatial learning. This study investigates the impact of AR distant landmarks (with vs. without AR landmarks) and road conditions (highway vs. local road) on acquiring spatial knowledge through an experiment using simulated videos of autonomous driving. Participants are randomly assigned to one of two scenarios to complete tasks which assessed their acquired spatial knowledge one the route-, directional, and configural levels. Results show that distant landmarks enhance the efficiency of acquiring route- and directional knowledge, although the effectiveness of acquiring route knowledge with AR landmarks is not significant on local road. Configurational knowledge is more likely impacted by the road type instead of the AR landmarks. The results indciate the necessity of carrying out follow-up studies on symbolising additional information in AR landmarks for supporting spatial learning and evaluate their impacts on the spatial knowledge at the configurational level.

Extended-Reality Technologies: An Overview of Emerging Applications in Medical Education and Clinical Care.

Navigation services play a crucial role in everyday wayfinding. One of their key features is the turn-by-turn guidance, enabling wayfinders to navigate efficiently between locations. However, over-reliance on turn-by-turn guidance can hinder wayfinders' ability to perceive their surroundings and develop spatial awareness, negatively impacting user experience. Previous research has addressed these issues by modifying instructions, user interaction, or both. However, the applicability of these methods beyond specific studies remains unclear. This paper presents a human-centred study by evaluating an algorithm that automatically generates navigation instructions. The instructions are generated by adding route-defining locations to ‘standard’ turn-by-turn instructions to enhance wayfinder's spatial knowledge acquisition, and improve user experience. Route-defining locations, identified using a previously proposed algorithm, serve as anchors for the wayfinder to form a spatial understanding of the environment. The study involved 36 participants divided into two groups: one received ‘standard’ turn-by-turn (TBT) instructions, while the other received instructions that included route-defining locations (RDL). Participants navigated in an unfamiliar virtual environment, and their wayfinding and route learning were compared between the two groups. Results show that RDL instructions led to better wayfinding and route learning performance compared to TBT instructions, suggesting the potential to improve navigation systems and user experiences.

Spatial cognition has become an increasingly important area of study since it represents a major type of human knowledge with considerable practical significance. The general assumption is that people’s spatial knowledge forms people’s spatial behaviour, such as navigation, in the environment. However, there are some critical issues within this area, including: how such knowledge is represented and organised, the mechanisms by which it is activated, and the elementary and higher-level cognitive processes that function upon the knowledge base to produce new knowledge as well as the factors that are influential on acquiring spatial knowledge. The theories regarding spatial knowledge acquisitions have attempted to address these issues. This paper discusses these issues by reviewing the literature. As such, the paper firstly provides the research background on spatial knowledge acquisition and the theories of spatial knowledge development. Secondly, the paper debates the main factors affecting acquiring and forming knowledge about the environment. In doing that, the effects of two main factors are discussed: 1) the means of spatial knowledge acquisition (direct experience, physical map, and mobile maps), and 2) the role of different properties of physical environment.

Concepts of spatial navigation rest on the idea of landmarks, which are immobile features or objects in the environment. However, behaviorally relevant objects or fellow humans are often mobile. This raises the question of how the presence of human agents influences spatial exploration and knowledge acquisition. Here, we investigate exploration and performance in subsequent spatial tasks within a virtual environment containing numerous human avatars. In the exploration phase, agents had a locally limited effect on navigation. They prompted participants to revisit locations with agents during their initial exploration without significantly altering overall exploration patterns or the extent of the area covered. However, agents and buildings competed for visual attention. When spatial recall was tested, pointing accuracy toward buildings improved when participants directed their attention to the buildings and nearby agents. In contrast, pointing accuracy for agents showed weaker performance and did not benefit from visual attention directed toward the adjacent building. Contextual agents and incongruent agent-environment pairings further enhanced pointing accuracy, revealing that violations of expectations by agents can significantly shape navigational knowledge acquisition. Overall, agents influenced spatial exploration by directing attention locally, with the interaction between agent salience and environmental features playing a key role in shaping navigational knowledge acquisition.

Hand-held mobile map applications relying on Global Navigation Satellite System (GNSS) services have become the preferred wayfinding and navigation support over the last decades. Mobile map apps provide pedestrian urban navigators with abundant geographic information. Navigators can assess their current location in real-time, zoom, pan, and query the map during navigation. This has profoundly impacted our daily mobility routines. Navigation occurs concurrently with spatial learning, that is, navigators continuously acquire visual-spatial information from the surrounding environment and from their mobile maps during navigation. Navigators encode this information into memory and ultimately construct a mental representation of the traversed environment. Recalling and decoding spatial knowledge can assist navigators in self-localization, locating and finding relevant features in their surroundings, and getting to new destinations (Downs & Stea, 2011) . Previous studies have extensively examined pedestrian spatial learning in terms of its behavioral stages (Ishikawa & Montello, 2006; Kim & Bock, 2021) and how this process is supported by neural systems in the brain (Epstein et al., 2017; Peer et al., 2021) . However, how map-assisted pedestrian spatial knowledge develops over time is still an open research question. Little is known about how evolving environmental familiarity impacts map-assisted navigators' spatial learning processes. Having these unsolved issues in mind, we proposed this empirical study to address the following two research questions:

Evaluating the effects of collaboration and competition in navigation tasks and spatial knowledge acquisition within virtual reality environments

In this paper the infl uence of the display size on the acquisition of spatial knowledge is investigated. The acquisition of spatial knowledge based on presentation forms with different display sizes has been analysed in an empirical test for pedestrian navigation. This contribution describes and interprets the test and results and gives an outlook on the overall importance for future application developments in the context of LBS, as mobile systems typically use small displays and the overall concern exists, that these displays can not communicate any useful spatial information in typical map form to pedestrians.

Abstract. Recent years have witnessed the rapid development of navigation systems. They gradually become the default way of navigating in our daily life. Despite benefiting from their convenience, we may be negatively influenced by them (Parush et al. 2007). Current navigation systems usually draw too much of users' attention to the mobile devices, which leads to users’ lacking interaction with the environment. It is often the case that people easily forget travelled route and get lost without navigation systems (Reilly et al. 2008). Empirical study shows that by dividing attention, navigation systems impair users’ spatial memory, and thus impact their navigation skills (Gardony et al. 2013). Since a higher engagement with the environment can improve users’ spatial knowledge acquisition without decreasing efficiency (Brügger et al. 2017), navigation systems should incorporate important environmental features.As objects of visual, cognitive or structural importance (Sorrows & Hirtle 1999), landmarks have been extensively studied, and considered as an important environmental feature to be incorporated into navigation systems (Nuhn & Timpf 2018, Richter 2017, Duckham et al. 2010, Raubal & Winter 2002). They serve as references to provide users with more natural and pleasant navigating experience (Richter & Winter 2014). However, most of landmark-related studies are in outdoor environment. Although researchers have attempted to classify and assess indoor landmarks (Ohm 2014, Viaene 2014), it is still very difficult to determine suitable ones. As a subset of semantic indoor landmarks, existing navigational aids (e.g. signs and floor plans) are designed to assist navigation. Among them, signs are most preferred by users (Wang et al. 2017). Being the signs that give necessary information to route users to possible destinations, directional signs contribute most to wayfinding (Gibson 2009). With route information explicitly presented by them, they are relevant environmental features to be incorporated into indoor navigation systems.In this study, we therefore propose to incorporate directional signs into indoor navigation systems, in order to guide users’ attention back to the environment, to facilitate their spatial learning and improve their spatial knowledge acquisition.We incorporated directional signs into a proof-of-concept indoor navigation system. First, we integrated directional signs and their semantics into a graph-based model. A directional sign was modelled as a node. Each destination on the sign was linked with the sign by an edge. In order to differentiate it from the normal edge, it was marked as semantic edge. Thus, the semantics of the sign was modelled directly into the graph, instead of being stored as attributes in a previous version of our study (Wang & Gartner 2018). Then, a top-K shortest path algorithm was employed to find candidate routes (Yen 1971). In the end, the route with the largest coverage of semantic edges was suggested to the user. The users would then be explicitly guided to follow the directional signs in the environment.In the next step, we will evaluate the efficiency and effectiveness of the proposed navigation system by an empirical study with human subjects. Within the experiment, we will also investigate on whether this kind of guidance can succeed in drawing users’ attention back to the environment and support their spatial knowledge acquisition.

Objective. This study explored the classification of electroencephalography (EEG) signals to assess changes in neural activity as individuals performed a training task in a virtual environment simulator. Commonly, task behavior and perception are used to assess a trainee’s ability to perform a task, however, changes in cognition are not usually measured and could be important to provide a true indication of an individual’s level of knowledge or skill. Approach. In this study, 15 participants acquired spatial knowledge via 60 navigation trials (divided into ten blocks) in a novel virtual environment. Time performance, perceived certainty, and EEG signal data were collected. Main results. A significant increase in alpha power and classification accuracy of EEG data from block 1 against blocks 2–10 was observed and stabilized after block 7, while time performance and perceived certainty measures improved and stabilized after block 5 and 6, respectively. Significance. Results suggest that changes in neural activity, which may reflect an increase in cognitive efficiency, could provide additional insight beyond time performance and perceived certainty.

This chapter discusses cognitive issues about the use of maps and spatial orientation in the environment and possible implications of research in the literature of spatial cognition for map and navigation learning in STEAM. It first clarifies the tradition of research in spatial cognition, behavior, and thinking and discusses the concept of spatial representation in relation to symbolic and geometric understanding of maps and the acquisition of spatial knowledge in the environment. Then the chapter looks at the difficulties that students have with maps in terms of projection, scaling, and symbolization and discusses the possibility of instructional intervention, taking the degree of iconicity of spatial representations and the alignment of maps with the surrounding environments into account. Concerning spatial orientation, cognitive demands that configurational learning in large-scale environments poses and the distortions typically observed in people’s spatial knowledge and judgments are discussed, in particular the theoretical and practical implications of the existence of large individual differences. Finally, the chapter explains the manners in which people identify and communicate their locations in the environment and considers problems and prospects of spatial awareness in the age of advanced geospatial information and technology.

The study employs an augmented-reality App to train elementary students’ spatial rotation ability and investigates the effect of different presentation styles on students’ learning performance of spatial rotation, on their cognitive load, and on their situational interest of the training experiences. Based on the quasi-experimental design, four 5 th - and 6 th -grade classes were divided into two groups (i.e., the Augmented-Reality group and the 3D-View group) to train the spatial rotation ability. Instruments including the spatial-rotation test, the cognitive-load scale, and the situational-interest scale were used to evaluate the students’ learning performance, cognitive load, and situational interest. The two groups of students significantly improved their performance of spatial rotation after the training, and the Augmented-Reality group presented higher improvement than the 3D-View group. The two groups showed no significant difference in cognitive load no matter at the testing stage or at the training stage. Also, the two groups show no difference in their situational interest. It is suggested future research test different facets of spatial ability except the spatial rotation so more compressive spatial ability of students can be adequately evaluated. Additionally, various augmented-reality applications of different topics and areas can be developed, and different training and testing methods could be employed to understand how students learn with the assistance of the new applications.

The current navigation system requires the user to continuously map with the navigation application with the real-world environment. It sometimes leads to an incorrect path due to minor difference in the distance between different paths. The identification of nearby places of unknown locality is difficult as one has to ask for information and reviews which can be misleading. Recognition of unknown people for their authenticity cannot be guaranteed as one has to rely on official documents which can be fake. This paper aims to describe the design of an application that will provide the same reality-based environment as that seen through the naked eye, but it adds visual simulation or content to provide an enhanced view to the user during navigation. We will be using Augmented reality to provide users with more information, computer-assisted decision making, and interactive learning and training. The application will combine Google’s existing Maps data with a live feed from your phone’s camera to overlay walking directions on top of the real world and help you figure out which way you need to go. Identification of near-by places and authenticity of the unknown people can be done from the data stored on the cloud and will be augmented when scanned through the camera of the phone which is the only requirement of the application. It also enables the users to navigate indoors with the help of a radar map and arrow pointing towards the points of interest. This application enables the user to navigate using the mobile phone and get the directions augmented in the real world to take accurate decisions. The user can also navigate to different points of interest- indoor as well as outdoor. It also enables the recognition of places, as well as people and the details related to the same, get augmented.

Fifty-one learning strategies were developed and validated in this study to make language learners more knowledgeable about unfamiliar environments. The study tested the effectiveness of the strategies in improving the creativity of students. 75 university students participated in the study and they were divided into three groups: (1) students who learned in unfamiliar learning environments without familiarization strategies; (2) students who learned in unfamiliar learning environments and used familiarization strategies; and (3) students who learned in familiar learning environments. All students learned vocabulary, grammar, sentence patterns and how to write descriptive essays in class. After class, they applied newly learned knowledge by describing people, objects and situations in the real world using mobile devices. The content of students' essays was compared across three groups and the results showed that students in Group 2 and Group 3 had better creativity scores than students in Group 1. The results indicated that students' creativity is affected by their familiarity with the environment. Therefore, it is suggested that student familiarization with learning sites needs to be considered when designing learning activities in the real world. Educators should provide familiarization strategies to students when learning in unfamiliar learning environments.