Help beacons

Al-Akkad, Amro; Ramı́rez, Leonardo; Boden, Alexander; Randall, Dave; Zimmermann, Andreas

doi:10.1145/2556288.2557002

Cited by 27 publications

(5 citation statements)

References 23 publications

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“…Ethische Aspekte sollen vielmehr möglichst frühzeitig sichtbar und zum Gegenstand von Aushandlungsprozessen mit Stakeholdern (wie Entwicklern, Rettungskräften, Zivilgesellschaft etc.) gemacht werden (Boden et al 2021;Al-Akkad et al 2014). Obwohl der Ansatz aus einer speziellen, ethisch sehr sensiblen Domäne stammt, ist er auch für weitere Anwendungsbereiche geeignet (Perng et al 2021).…”

Section: Elsi Co-designunclassified

Digitale Verantwortung

Recki,

Kroth,

Krauß

et al. 2024

Verbraucherinformatik

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ZusammenfassungDie Verbreitung digitaler Systeme beeinflusst Entscheidungen, Gesetze, Verhalten und Werte in unserer Gesellschaft. Dies wirkt sich auf Konsumgewohnheiten, Marktbeziehungen, Machtverteilung, Privatsphäre und IT-Sicherheit aus. Damit einhergehende Veränderungen haben direkte Auswirkungen auf unser Leben, was im Bereich der Technikfolgenabschätzung bzw. der angewandten Informatik unter dem Stichwort ELSI diskutiert wird. Dieses Kapitel fokussiert auf entsprechende Fragestellungen bezüglich ethischer Auswirkungen. Insbesondere rückt Fairness im Kontext automatisierter Entscheidungen in den Fokus, da Verbraucher:innen diesen zunehmend ausgesetzt sind. Zudem wird im Rahmen der gestiegenen Besorgnis über ökologische Auswirkungen das Thema Nachhaltigkeit am Beispiel von „Sharing Economy“ und „Shared Mobility“ weiter vertieft.

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Section: Elsi Co-designunclassified

Digitale Verantwortung

Recki,

Kroth,

Krauß

et al. 2024

Verbraucherinformatik

Self Cite

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“…• Mobile crowdsensing systems handle extremely diverse types of information. Since its inception in 2006, a plethora of different mobile crowdsensing systems have been proposed for many different purposes, from emotional and health monitoring [134,139] to noise mapping systems [39,136], road traffic monitoring [155,210], discovery of people in distress [2,148], and so on.…”

Section: Why Is the Qoi Problem In Mobile Crowdsensing So Challenging?mentioning

confidence: 99%

Quality of Information in Mobile Crowdsensing

Restuccia

Ghosh

Bhattacharjee

et al. 2017

ACM Trans. Sen. Netw.

154

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Smartphones have become the most pervasive devices in people's lives, and are clearly transforming the way we live and perceive technology. Today's smartphones benefit from almost ubiquitous Internet connectivity and come equipped with a plethora of inexpensive yet powerful embedded sensors, such as accelerometer, gyroscope, microphone, and camera. This unique combination has enabled revolutionary applications based on the mobile crowdsensing paradigm, such as real-time road traffic monitoring, air and noise pollution, crime control, and wildlife monitoring, just to name a few. Differently from prior sensing paradigms, humans are now the primary actors of the sensing process, since they become fundamental in retrieving reliable and up-to-date information about the event being monitored. As humans may behave unreliably or maliciously, assessing and guaranteeing Quality of Information (QoI) becomes more important than ever. In this paper, we provide a new framework for defining and enforcing the QoI in mobile crowdsensing, and analyze in depth the current state-of-the-art on the topic. We also outline novel research challenges, along with possible directions of future work. F. Restuccia et al.Not only are today's smartphones ubiquitous devices, they are also equipped with a plethora of embedded multi-modal sensors; integrate wireless communication technologies such as 4G/WiFi Internet connectivity, and possess complex processing capabilities. For example, the cameras on smartphones can be used as video and image sensors [29], the microphone can be used as an acoustic sensor [39,154,206], and the embedded global positioning system (GPS) receiver can be used to gather accurate location information, while gyroscopes, accelerometers, and proximity sensors can be used to extract contextual information about the users, such as driving or walking states [75,122]. Further, additional sensors can be easily interfaced with smartphones via Bluetooth or wired connections, such as temperature, air quality, and humidity [69,168].These technological features, combined with the advanced sensing capability of humans, has spurred a significant amount of research from both academia and industry, which together have proposed over the last 10 years a myriad of applications based on the emerging mobile crowdsensing paradigm 1 . Mobile crowdsensing empowers ordinary citizens (or users 2 ) with the capability to actively monitor various phenomena pertaining to themselves (e.g., health, social connections) or their community (e.g., environment). This rich information or inference about themselves or the community may also be sent back to the participating or other concerned users to improve their life experiences, thus influencing their choices. Real-life applications, which can take advantage of both low-level sensor data and high-level user activities, range from real-time traffic monitoring applications, to environmental pollution monitoring, crime monitoring, and social networking, just to name a few. For a survey on mobile crowdsensin...

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“…In contrast, our study comprehensively investigates OBN under several mobile network setups. In [6], Help Beacons uses SSID encoding techniques over Wi-Fi Hotspot to announce application-specific messages. Nevertheless, the study only presents a single-source setup and does not involve an analysis on networking performance.…”

Section: Interface Mismatchmentioning

confidence: 99%

Opportunistic beacon networks: Information dissemination via wireless network identifiers

Turkes

Scholten

Havinga

2016

2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)

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This paper presents OBN, a universal opportunistic ad hoc networking model particularly intended for smart mobile devices. It enables fast and lightweight data dissemination in wireless community networks through the utilization of universally-available wireless network identifiers. As a ubiquitous alternative to the publicly-limited ad hoc networking interfaces, it resolves many of the peer-to-peer data forwarding issues with smart beacon advertisements. Opportunistic beacons of the model require neither association nor connection for data sharing, instead exploit wireless network identifiers as message carriers. Our applicability tests on both real-world setups and simulations indicate the soundness of the model. Providing a high data dissemination performance in highly dense and highly mobile environments, OBN can be readily integrated to numerous mobile participatory sensing applications without requiring any specialized setup.

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Help beacons

Cited by 27 publications

References 23 publications

Digitale Verantwortung

Digitale Verantwortung

Quality of Information in Mobile Crowdsensing

Opportunistic beacon networks: Information dissemination via wireless network identifiers

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