Exploring the use of landmarks for mobile navigation support in natural environments

Snowdon, Caroline; Kray, Christian

doi:10.1145/1613858.1613875

Cited by 26 publications

(23 citation statements)

References 17 publications

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“…e.g. Fontaine et al, 2005;Schroder et al, 2011;Snowdon & Kray, 2009). Clearly, these experiments are both, easy to conduct and easy to evaluate.…”

Section: Computer Basedmentioning

confidence: 99%

Empirically measuring salience of objects for use in pedestrian navigation

Kattenbeck

2015

Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems

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Auch wenn sie es vehement von sich weisen würden, so haben meine Eltern großen Anteil an dieser, meiner Dissertation. Sie gaben mir von Kindesbeinen an die Freiheit, mich mit dem Nachdenken auseinanderzusetzen. Glaubt mir, Mama und Papa, ohne diese Freiheit wäre ich heute nicht der, der ich bin.Schließlich danke ich meiner über alles geliebten Frau Anita. Wir sind fast genau so lange verheiratet, wie es gedauert hat, bis ich nun mein Promotionsverfahren erfolgreich abschließen konnte. In diesen Jahren haben wir einiges zusammen erlebt und durchgemacht.Du, Anita, hast immer zu mir gehalten und mich in Allem und mit Allem unterstützt.Ohne Dich, Anita, wäre diese Arbeit undenkbar.Dir, Anita, widme ich diese Arbeit.vi A B S T R A C T background Humans usually refer to landmarks when they give route directions to pedestrians. One of the reasons why current mobile pedestrian navigation systems do not yet mimic this mode of communication is the lack of available data sources. The usefulness of a crowd-sourced data acquisition approach to overcome this problem has long been mooted. However, to date no empirically sound way of measuring the salience of objects by means of surveys exists.goal Given this background, this doctoral work has three goals:1. To achieve a sound way of measuring salience and its subdimensions, i.e. visibility in advance, cognitive salience, prototypicality, structural salience, and visual salience based on taking dimensions revealed in earlier studies systematically and simultaneously into account.2. To find subgroups of visual features among the large number of visual attributes known from the literature.3. To find the most important subdimensions of salience by means of estimating two different structural equation models. Model I is based on assumptions of independence among subdimensions, whereas model II reflects hypotheses of mediation.Taken as a whole, achieving these goals will foster both, the advancement of theories of salience and landmark acquisition methods.methodology A large scale, in-situ experiment was implemented, trying to overcome weaknesses of earlier attempts made to estimate salience. An vii appropriate sample size of buildings and non-buildings was calculated a priori (n obj = 360). Objects were randomly selected based on their geographical coordinates and randomly grouped into n r = 55 routes. Participants were required to rate objects by means of a survey. The questions were derived from empirical evidence found in earlier studies. Each route was walked by two different participants (n = 112), id est (i.e.) two ratings per object were collected for data analysis.findings Model I and model II were analyzed using PLS Path Modeling and consistent PLS Path Modeling, respectively. The measurement models proposed showed a good fit, although some weaknesses were identified for prototypicality and cognitive salience. Geometrical aspects as well as features like (visual) age turned out to have a stronger impact on visual salience than color. Model I did not yield reasonable struct...

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“…e.g. Fontaine et al, 2005;Schroder et al, 2011;Snowdon & Kray, 2009). Clearly, these experiments are both, easy to conduct and easy to evaluate.…”

Section: Computer Basedmentioning

confidence: 99%

Empirically measuring salience of objects for use in pedestrian navigation

Kattenbeck

2015

Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems

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“…People form landmark ontologies that are used for thinking spatially and for creating external spatial representations, such as maps and navigation applications (Smith and Mark, 2001). The landmark ontologies in the spatial thinking vary according to the application domain, the aim of the task and the conditions of use (Winter et al, 2005;Snowdon and Kray, 2009;Kettunen et al, 2013). In order to understand and support such multifaceted spatial perception and memory for navigation, the landmarks must be studied in different kinds of scenarios.…”

Section: Background and Motivationmentioning

confidence: 99%

Perception and Recall of Landmarks for Personal Navigation in Nature at Night Versus Day

Kettunen

Putto

Gyselinck

et al. 2014

Lecture Notes in Geoinformation and Cartography

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Wayfinding at night in nature is challenging due to limited lighting and a low number of clearly identifiable landmarks. However, several activities in nature involve wayfinding at night, such as rescue services or hiking, but only a few human navigation studies have addressed these conditions. In the present study, we investigate the effects of night on the perception and recall of landmarks along a nature trail using the thinking-aloud and sketch map methods. The results reveal significant differences in the perception between day and night, which mainly originated from a restricted vista at night. In contrast, the landmark recall did not differ between day and night according to the sketch maps, which reflects uniform conceptualisation of the route in both times of day. The observed differences in the perception of landmarks may be applied to the adaptation of geospatial navigation applications that provide real-time wayfinding support, such as interactive maps and navigators, according to the day and night conditions.

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“…In the field of ubiquitous computing, where the context and environment play an important role, the use of virtual environments have been applied previously with promising results (Barton & Vijayaraghavan, 2002;Hühn, Khan, Lucero & Ketelaar, 2012;Leichtenstern, André & Rehm, 2010;Snowdon & Kray, 2009). The application domains varied from exploring the interface of a camera in a room (Barton & Vijayaraghavan, 2002), to evaluating location-based advertisement in a supermarket (Hühn et al, 2012), to researching whether users would apply different mobile interaction techniques in smart living rooms (Leichtenstern et al, 2009), to mobile navigation support for pedestrians in the countryside (Snowdon & Kray, 2009).…”

Section: Introductionmentioning

confidence: 99%

“…The application domains varied from exploring the interface of a camera in a room (Barton & Vijayaraghavan, 2002), to evaluating location-based advertisement in a supermarket (Hühn et al, 2012), to researching whether users would apply different mobile interaction techniques in smart living rooms (Leichtenstern et al, 2009), to mobile navigation support for pedestrians in the countryside (Snowdon & Kray, 2009). The variety of applications for virtual environments implies that there is a potential of using this technology for evaluating lighting UI applications.…”

Section: Introductionmentioning

confidence: 99%

Utilizing Virtual Environments for the Evaluation of Lighting Controls

Khan

Kraan

Leest

et al. 2016

JVWR

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When designing a new user interaction (UI) technology or applying UI modalities to a product or system, the designer can select from many methods and tools to assist them with evaluating the UI's function and appeal with end users. Testing early in a design process is highly desirable since any issues found can be resolved more easily and often at less expense. However, for lighting solutions, these methods and tools are less suitable due to the qualities of light as a medium. Light is often detached from the UI itself and the light output is generally experienced throughout an environment which is often encompassing the users. For example, testing a new UI to control a yet to be installed media façade is not a simple system to mock up in advance, due to scale and cost. There is a need therefore, within the lighting industry, to have tools or methods with which design teams can test lighting UI, in conjunction with the light output, early in the design process. A potential solution is to use virtual environments. These would provide designers with a space in which they can show virtual light output that can be controlled using any developmental UI; this would enable them to evaluate lighting UI much earlier and potentially in more detail than is currently possible. In this paper we report on a user study that compares three different environments (physical, virtual CAVE and screen) in a bid to determine whether the virtual environments could provide reliable evaluations of UI for lighting versus a real setup. Our findings show that virtual environments indeed have the potential to elicit similar evaluative feedback from end users as a real environment when considering the functional utilitarian elements.

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Exploring the use of landmarks for mobile navigation support in natural environments

Cited by 26 publications

References 17 publications

Empirically measuring salience of objects for use in pedestrian navigation

Empirically measuring salience of objects for use in pedestrian navigation

Perception and Recall of Landmarks for Personal Navigation in Nature at Night Versus Day

Utilizing Virtual Environments for the Evaluation of Lighting Controls

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