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Familiarity is Key! Conceptualizing and Behaviourally Measuring Familiarity In-Situ

Project description

The power of familiarity

The most familiar route is usually the most popular. In this context, the EU-funded FamConMe project will explore the best way to conceptualise familiarity with different environmental features (landmarks, routes, regions). It will also provide novel ways to assess it in-situ based on behavioural data. The project will provide theoretical insights by interrelating the different conceptualisations and measurements of familiarity. Its methodological advancement is the use of sensors (mobile eye tracking, high precision global navigation satellite system positioning and head/body-worn inertial measurement unit) to assess familiarity during in-situ travel and spatial learning. The findings will inspire future research studies on how smart cities can adapt to citizens' needs, based on their current state of spatial cognition – for which familiarity is key.

Objective

This interdisciplinary research project contributes to understanding and implementing familiarity in location-based systems through theoretical, methodological and applied advancements. The proposed research adds significantly to our knowledge of how to conceptualize familiarity with different environmental features (e.g. landmarks, routes, regions) and provides novel ways to assess it in-situ based on behavioural data. It provides important theoretical insights by disentangling and interrelating the different conceptualizations and measurements of familiarity. The project’s key methodological advancement is the unique combination of three different sensors to behaviourally assess familiarity during in-situ travel and spatial learning: Mobile eye tracking, high precision GNSS positioning, and head/body-worn Inertial Measurement Unit (e.g. providing acceleration data etc.) sensors are fused to study familiarity behaviourally in-situ. Machine learning and deep learning experiments on the behavioural data, singly and in combination, will be used to classify different levels of familiarity reflected in participants’ activities. The outcomes of this investigation form a basis for future research studies on how smart cities can adapt to its citizens' needs, based on their current state of spatial cognition – for which familiarity is a key example. These results contribute to the European Commission's policy “Smart Cities - Smart Living” and interplay with future programmes of the Horizon Europe cluster “Climate, Energy and Mobility” and the mission area “Climate-neutral and smart cities”.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

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Call for proposal

(opens in new window) H2020-MSCA-IF-2020

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Coordinator

TECHNISCHE UNIVERSITAET WIEN
Net EU contribution
€ 226 032,96
Address
KARLSPLATZ 13
1040 Wien
Austria
Region
Ostösterreich Wien Wien
Activity type
Higher or Secondary Education Establishments
Links
Total cost
€ 226 032,96

Partners (1)