Exploring Social Context with the Wireless Rope

Nicolai, Tom; Yoneki, Eiko; Behrens, Nils; Kenn, Holger

doi:10.1007/11915034_112

Cited by 56 publications

(44 citation statements)

References 8 publications

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“…For example, the Reality Mining project 1 collected proximity, location and activity information, with proximity nodes being discovered through periodic Bluetooth scans and location information by cell tower IDs. Several other groups have performed similar studies [1,4,5,6,7]. Most of these, such as [4] and [7], use Bluetooth to measure mobility, while others, such as [5] and [6], rely on WiFi.…”

Section: Related Workmentioning

confidence: 99%

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Understanding and measuring the urban pervasive infrastructure

Kostakos

Nicolai

Yoneki

et al. 2008

Pers Ubiquit Comput

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The increasing popularity of mobile computing devices has allowed for new research and application areas. Specifically, urban areas exhibit an elevated concentration of such devices, enabling potential ad-hoc cooperation and sharing of resources among citizens. Here, we argue that people, architecture and technology together provide the infrastructure for these applications and an understanding of this infrastructure is important for an effective design and development. We focus on describing metrics for describing this infrastructure, and elaborate on a set of observation, analysis and simulation methods for capturing, deriving and utilizing those metrics.

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Section: Related Workmentioning

confidence: 99%

“…Several other groups have performed similar studies [1,4,5,6,7]. Most of these, such as [4] and [7], use Bluetooth to measure mobility, while others, such as [5] and [6], rely on WiFi. The duration of experiments varies from 2 days to over 100 days, and the numbers of participants vary from 8 to over 5000 (see the Haggle 2 project).…”

Section: Related Workmentioning

confidence: 99%

Understanding and measuring the urban pervasive infrastructure

Kostakos

Nicolai

Yoneki

et al. 2008

Pers Ubiquit Comput

Self Cite

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“…The recent wide spread of mobile devices implies that many people have their Bluetooth switched on passively, thus providing an important source of useful data. A variety of projects have exploited Bluetooth data for measuring the social network relationships between people (Eagle & Pentland, 2005, Paulos & Goodman, 2004, Nicolai, Yoneki, Behrens, & Kenn, 2006, mobility of vehicles (Yalowitz & Bronnenkant, 2009, Barceló, Montero, Marqués, & Carmona, 2010 and mobility of pedestrians and their relationships (O'Neill et al, 2006, Kostakos et al, 2010. However these investigations have not considered a specific analysis of pedestrians and their use of space.…”

Section: Strategies To Collect Empirical Visitor Datamentioning

confidence: 99%

New Tools for Studying Visitor Behaviours in Museums: A Case Study at the Louvre

Yoshimura

Girardin²,

Carrascal

et al. 2012

Information and Communication Technologies in Tourism 2012

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In this paper we discuss the exploitation of data originated from Bluetooth-enabled devices to understand visitor's behaviour in the Louvre museum in Paris, France. The collected samples are analysed to examine frequent patterns in visitor's behaviours, their trajectory, length of stay and some relationships, offering new details on behaviour than previously available. Our work reinforces the emergence of a new methodology to study visitors. It is part of recent lines of investigation that exploit the presence of pervasive data networks to complement more traditional methods in tourism studies, such as surveys based on observation or interviews. However, most past experiments have explored quantitative data coming from mobile phones, GPS, or even geotagged user generated content to understand behaviour in a region, or a city, at a larger scale than that of our current work.

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“…Olofsson et al [26] studied requirements during music festivals, for example, and Nicolai et al [25] explored social location-aware systems by providing users with proximity awareness about people nearby.…”

Section: Social Navigationmentioning

confidence: 99%

Navigation your way: from spontaneous independent exploration to dynamic social journeys

Robinson

Jones

Williamson

et al. 2011

Pers Ubiquit Comput

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In this article we describe a novel approach to pedestrian navigation using bearing-based haptic feedback. People are guided in the general direction of their destination via a minimal directional cue, but additional exploration is stimulated by varying feedback based on the potential for taking alternative routes. This extreme navigation method removes the complexities of maps and direction following, concentrating on allowing pedestrians to actively explore their surroundings, rather than offering perfect, but passive, turn-by-turn guidance. We simulate and build two mobile prototypes to examine the possible benefits of this approach, then further extend its impact by considering how social media might be incorporated to provide a real-time, dynamically-evolving map of physical locations. The successful use of our mobile prototypes is demonstrated in a realistic field trial, and we discuss the results and interesting participant behaviours that were recorded, validating the predictions from their earlier simulation. We continue by simulating the use of publicly-posted status updates and pictures as a proxy for location mapping, showing how these methods can produce comparable navigation results to real field trials, highlighting their potential as tools for real-world social journeys.

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Exploring Social Context with the Wireless Rope

Cited by 56 publications

References 8 publications

Understanding and measuring the urban pervasive infrastructure

Understanding and measuring the urban pervasive infrastructure

New Tools for Studying Visitor Behaviours in Museums: A Case Study at the Louvre

Navigation your way: from spontaneous independent exploration to dynamic social journeys

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