How to Model (Personalised) Landmarks?

Nuhn, Eva; Timpf, Sabine

doi:10.1007/978-3-030-57983-8_3

Cited by 7 publications

(5 citation statements)

References 31 publications

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“…To identify personal landmarks, various measures were developed. Nuhn (2020) proposed that personal dimensions of landmarks can be analyzed using various measures: spatial knowledge (no knowledge, landmark, route or survey knowledge), personal goals (known goals, new goals or exploratory), personal interests such as cultural, historical etc., personal background (for example, education, age or cultural background), individual traits that can be determined through psychological tests or other personal dimensions (positive, negative or neutral landmarks). Götze and Boye (2016) used a methodology that automatically derived salience using route instructions collected from subjects.…”

Section: Personal and Emotional Landmarksmentioning

confidence: 99%

Landmarks in wayfinding: a review of the existing literature

2021

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Landmarks are accepted as one of the vital elements in both virtual and real environments during wayfinding tasks. This paper provides an overview of the existing literature on the selection of landmarks in wayfinding mostly in large-scale urban environments and outdoors by discussing two main aspects of landmarks: visibility and salience. Environments and layouts used in previous studies, different tasks given to people and the main findings are explained and compared. Summary tables are created from these findings. The review concludes that there is mostly a consensus on the selection of landmarks, when considering their location. Accordingly, landmarks on route and also at decision points (with a turn) are more effective during wayfinding tasks. However, visibility of landmarks as well as visual and cognitive saliency need to be further investigated using different environments, tasks or different levels of familiarity with environments.

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Section: Personal and Emotional Landmarksmentioning

confidence: 99%

Landmarks in wayfinding: a review of the existing literature

2021

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“…Researchers (see, e.g., Klippel et al, 2009;Zimmer, Münzer & Baus, 2010) have also developed frameworks for the design of navigation aids emphasizing the adaption to user characteristics such as spatial abilities. Similarly, personal interests have been incorporated into salience models, in order to be exploited for choosing personalized landmarks (see Nuhn & Timpf, 2020). Moreover, a large branch of research is dedicated to adapting systems to users with special needs, such as mobility impaired people (see, e.g., Barhorst-Cates, Rand & Creem-Regehr, 2019;Cheraghi, Almadan & Namboodiri, 2019) or visually compromised persons (see, e.g., Ding et al, 2007;Völkel & Weber, 2008).…”

Section: Research On Personalization Of Wayfinding Assistance Systemsmentioning

confidence: 99%

It’s also about timing! When do pedestrians want to receive navigation instructions

Golab

Kattenbeck

Sarlas

et al. 2021

Spatial Cognition & Computation

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Despite the increased research interest in wayfinding assistance systems, research on the appropriate point in time or space to automatically present a route instruction remains a desideratum. We address this research gap by reporting on the results of an outdoor, within-subject design wayfinding study (N ¼ 52). Participants walked two different routes for which they requested spoken, landmark-based turn-by-turn route instructions. By means of a survival analysis, we model the points in space at which participants issue such requests, considering personal, environmental, route-and trial-related variables. We reveal different landcover classes (e.g., densely built-up areas) and personal variables (e.g., egocentric orientation and age) to be important, discuss potential reasons for their impact and derive open research questions.

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“…;Elias, Paelke, and Chaouali 2009;Winter, Janowicz, Richter, and Vasardani 2012), it also makes sense to investigate more aspects (e.g., personal interest and gender) of the personal dimension of a landmark, beyond the "visiting frequency". This will allow us to develop methods that can select landmarks better matching users' personal interest and other personal aspects (Nuhn & Timpf, 2020). Finally, we suggest to compare landmark selections among participants with more varied social roles, e.g., students versus cleaning/maintenance personnel.…”

Section: Limitations and Future Workmentioning

confidence: 99%

Indoor landmark selection for route communication: the influence of route-givers’ social roles and receivers’ familiarity with the environment

Zhou

Weibel

et al. 2021

Spatial Cognition & Computation

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When conveying information about routes to follow in complex environments, human routegivers adapt to route-receivers' familiarity with the environments in their choice of landmarks. Meanwhile, as route-givers themselves have experienced the environments within a social role, the landmarks they select may also differ significantly. This research investigated how these two factors influence landmark selection when communicating routes in indoor environments. Two groups of participants were recruited to conduct indoor landmark selection experiments for familiar and unfamiliar route-receivers in a multi-functional university building. The results show an interaction effect between these factors in indoor landmark selection. These findings lay an empirical ground for developing human-centered mobile navigation systems that can adapt to users' social roles and their familiarity with the environment.

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How to Model (Personalised) Landmarks?

Cited by 7 publications

References 31 publications

Landmarks in wayfinding: a review of the existing literature

Landmarks in wayfinding: a review of the existing literature

It’s also about timing! When do pedestrians want to receive navigation instructions

Indoor landmark selection for route communication: the influence of route-givers’ social roles and receivers’ familiarity with the environment

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