11 research outputs found
Facebook (A)Live? Are Live Social Broadcasts Really Broadcasts?
The era of live-broadcast is back but with two major changes. First, unlike
traditional TV broadcasts, content is now streamed over the Internet enabling
it to reach a wider audience. Second, due to various user-generated content
platforms it has become possible for anyone to get involved, streaming their
own content to the world. This emerging trend of going live usually happens via
social platforms, where users perform live social broadcasts predominantly from
their mobile devices, allowing their friends (and the general public) to engage
with the stream in real-time. With the growing popularity of such platforms,
the burden on the current Internet infrastructure is therefore expected to
multiply. With this in mind, we explore one such prominent platform - Facebook
Live. We gather 3TB of data, representing one month of global activity and
explore the characteristics of live social broadcast. From this, we derive
simple yet effective principles which can decrease the network burden. We then
dissect global and hyper-local properties of the video while on-air, by
capturing the geography of the broadcasters or the users who produce the video
and the viewers or the users who interact with it. Finally, we study the social
engagement while the video is live and distinguish the key aspects when the
same video goes on-demand. A common theme throughout the paper is that, despite
its name, many attributes of Facebook Live deviate from both the concepts of
live and broadcast.Comment: Published at The Web Conference 2018 (WWW 2018). Please cite the WWW
versio
Summary of the Sussex-Huawei Locomotion-Transportation Recognition Challenge 2019
In this paper we summarize the contributions of participants to the third Sussex-Huawei Locomotion-Transportation (SHL) Recognition Challenge organized at the HASCAWorkshop of UbiComp/ISWC 2020. The goal of this machine learning/data science challenge is to recognize eight locomotion and transportation activities (Still, Walk, Run, Bike, Bus, Car, Train, Subway) from the inertial sensor data of a smartphone in a user-independent manner with an unknown target phone position. The training data of a “train” user is available from smartphones placed at four body positions (Hand, Torso, Bag and Hips). The testing data originates from “test” users with a smartphone placed at one, but unknown, body position. We introduce the dataset used in the challenge and the protocol of the competition. We present a meta-analysis of the contributions from 15 submissions, their approaches, the software tools used, computational cost and the achieved results. Overall, one submission achieved F1 scores above 80%, three with F1 scores between 70% and 80%, seven between 50% and 70%, and four below 50%, with a latency of maximum of 5 seconds
Finding Dory in the Crowd: Detecting Social Interactions using Multi-Modal Mobile Sensing
21 pages, 6 figures, conference paper21 pages, 6 figures, conference pape
An Empirical Study of the Cost of DNS-over-HTTPS
DNS is a vital component for almost every networked application. Originally
it was designed as an unencrypted protocol, making user security a concern.
DNS-over-HTTPS (DoH) is the latest proposal to make name resolution more
secure. In this paper we study the current DNS-over-HTTPS ecosystem, especially
the cost of the additional security. We start by surveying the current DoH
landscape by assessing standard compliance and supported features of public DoH
servers. We then compare different transports for secure DNS, to highlight the
improvements DoH makes over its predecessor, DNS-over-TLS (DoT). These
improvements explain in part the significantly larger take-up of DoH in
comparison to DoT. Finally, we quantify the overhead incurred by the additional
layers of the DoH transport and their impact on web page load times. We find
that these overheads only have limited impact on page load times, suggesting
that it is possible to obtain the improved security of DoH with only marginal
performance impact
Poster: One Leg at a Time: Towards Optimised Design Engineering of Textile Sensors in Trousers
La investigación tuvo como objetivo general: Determinar el nivel de mejora de
la autoestima después de la aplicación del programa de dramatización en los niños
del 1° grado de Educación Primaria de la I.E. N° 16683 – Pona Alta del Distrito de
Bagua Grande - 2015.
El tipo de investigación es explicativa, con un diseño pre experimental, se
realizó con una muestra de 32 estudiantes, los cuales fueron elegidos en forma no
probabilística por conveniencia o a criterio de la investigadora; para la recolección
de datos se aplicó la técnica de observación y como instrumento una ficha de
evaluación; los datos obtenidos fueron procesados mediante la estadística
descriptiva y la inferencial, con el apoyo del software SPSS.
Los resultados alcanzados al término de la investigación fueron satisfactorios
porque el nivel de autoestima de los estudiantes del primer grado de Educación
Primaria de la I.E. N° 16683 – Pona Alta, después de aplicar el Programa de
dramatización “Jugando con Amor”, se encontró que en el post test, la dimensión
autovaloración alcanzó el nivel más alto de autoestima 43.8%, seguido de la
dimensión autoimagen con el 37.5% de autoestima, y la dimensión autoconfianza
con el 35.7%; se concluye que los estudiantes lograron superar sus debilidades en
la autoestima, gracias a la efectividad del programa experimental
The Right to the Sustainable Smart City
Environmental concerns have driven an interest in sustainable smart cities, through the monitoring and optimisation of networked infrastructures. At the same time, there are concerns about who these interventions and services are for, and who benefits. HCI researchers and designers interested in civic life have started to call for the democratisation of urban space through resistance and political action to challenge state and corporate claims. This paper contributes to an emerging body of work that seeks to involve citizens in the design of sustainable smart cities, particularly in the context of marginalised and culturally diverse urban communities. We present a study involving co-designing Internet of Things with urban agricultural communities and discuss three ways in which design can participate in the right to the sustainable smart city through designing for the commons, care, and biocultural diversity