7,250 research outputs found
Target Apps Selection: Towards a Unified Search Framework for Mobile Devices
With the recent growth of conversational systems and intelligent assistants
such as Apple Siri and Google Assistant, mobile devices are becoming even more
pervasive in our lives. As a consequence, users are getting engaged with the
mobile apps and frequently search for an information need in their apps.
However, users cannot search within their apps through their intelligent
assistants. This requires a unified mobile search framework that identifies the
target app(s) for the user's query, submits the query to the app(s), and
presents the results to the user. In this paper, we take the first step forward
towards developing unified mobile search. In more detail, we introduce and
study the task of target apps selection, which has various potential real-world
applications. To this aim, we analyze attributes of search queries as well as
user behaviors, while searching with different mobile apps. The analyses are
done based on thousands of queries that we collected through crowdsourcing. We
finally study the performance of state-of-the-art retrieval models for this
task and propose two simple yet effective neural models that significantly
outperform the baselines. Our neural approaches are based on learning
high-dimensional representations for mobile apps. Our analyses and experiments
suggest specific future directions in this research area.Comment: To appear at SIGIR 201
Crossing Classroom Boundaries in Science Teaching and Learning through the Use of Smartphones
Peer reviewe
Proceedings of the 4th Workshop on Interacting with Smart Objects 2015
These are the Proceedings of the 4th IUI Workshop on Interacting with
Smart Objects. Objects that we use in our everyday life are expanding
their restricted interaction capabilities and provide functionalities
that go far beyond their original functionality. They feature computing
capabilities and are thus able to capture information, process and store
it and interact with their environments, turning them into smart objects
Big Brother is Listening to You: Digital Eavesdropping in the Advertising Industry
In the Digital Age, information is more accessible than ever. Unfortunately, that accessibility has come at the expense of privacy. Now, more and more personal information is in the hands of corporations and governments, for uses not known to the average consumer. Although these entities have long been able to keep tabs on individuals, with the advent of virtual assistants and âalways-listeningâ technologies, the ease by which a third party may extract information from a consumer has only increased. The stark reality is that lawmakers have left the American public behind. While other countries have enacted consumer privacy protections, the United States has no satisfactory legal framework in place to curb data collection by greedy businesses or to regulate how those companies may use and protect consumer data. This Article contemplates one use of that data: digital advertising. Inspired by stories of suspiciously well-targeted advertisements appearing on social media websites, this Article additionally questions whether companies have been honest about their collection of audio data. To address the potential harms consumers may suffer as a result of this deficient privacy protection, this Article proposes a framework wherein companies must acquire users\u27 consent and the government must ensure that businesses do not use consumer information for harmful purposes
Combining mobile-health (mHealth) and artificial intelligence (AI) methods to avoid suicide attempts: the Smartcrises study protocol
The screening of digital footprint for clinical purposes relies on the capacity of wearable technologies
to collect data and extract relevant informationâs for patient management. Artificial intelligence (AI) techniques
allow processing of real-time observational information and continuously learning from data to build
understanding. We designed a system able to get clinical sense from digital footprints based on the smartphoneâs
native sensors and advanced machine learning and signal processing techniques in order to identify suicide risk.
Method/design: The Smartcrisis study is a cross-national comparative study. The study goal is to determine the
relationship between suicide risk and changes in sleep quality and disturbed appetite. Outpatients from the
Hospital FundaciĂłn JimĂ©nez DĂaz Psychiatry Department (Madrid, Spain) and the University Hospital of Nimes
(France) will be proposed to participate to the study. Two smartphone applications and a wearable armband will
be used to capture the data. In the intervention group, a smartphone application (MEmind) will allow for the
ecological momentary assessment (EMA) data capture related with sleep, appetite and suicide ideations.
Discussion: Some concerns regarding data security might be raised. Our system complies with the highest level of
security regarding patientsâ data. Several important ethical considerations related to EMA method must also be
considered. EMA methods entails a non-negligible time commitment on behalf of the participants. EMA rely on
daily, or sometimes more frequent, Smartphone notifications. Furthermore, recording participantsâ daily experiences
in a continuous manner is an integral part of EMA. This approach may be significantly more than asking a
participant to complete a retrospective questionnaire but also more accurate in terms of symptoms monitoring.
Overall, we believe that Smartcrises could participate to a paradigm shift from the traditional identification of risks
factors to personalized prevention strategies tailored to characteristics for each patientThis study was partly funded by FundaciĂłn JimĂ©nez DĂaz Hospital, Instituto
de Salud Carlos III (PI16/01852), DelegaciĂłn del Gobierno para el Plan
Nacional de Drogas (20151073), American Foundation for Suicide Prevention
(AFSP) (LSRG-1-005-16), the Madrid Regional Government (B2017/BMD-3740
AGES-CM 2CM; Y2018/TCS-4705 PRACTICO-CM) and Structural Funds of the
European Union. MINECO/FEDER (âADVENTUREâ, id. TEC2015â69868-C2â1-R)
and MCIU Explora Grant âaMBITIONâ (id. TEC2017â92552-EXP), the French Embassy
in Madrid, Spain, The foundation de lâavenir, and the Fondation de
France. The work of D. RamĂrez and A. ArtĂ©s-RodrĂguez has been partly supported
by Ministerio de EconomĂa of Spain under projects: OTOSIS
(TEC2013â41718-R), AID (TEC2014â62194-EXP) and the COMONSENS Network
(TEC2015â69648-REDC), by the Ministerio de EconomĂa of Spain jointly with
the European Commission (ERDF) under projects ADVENTURE (TEC2015â
69868-C2â1-R) and CAIMAN (TEC2017â86921-C2â2-R), and by the Comunidad
de Madrid under project CASI-CAM-CM (S2013/ICE-2845). The work of P.
Moreno-Muñoz has been supported by FPI grant BES-2016-07762
Mobile Personal Health Application for Empowering Diabetic Patients
In this paper we present the functional features of a mobile Personal Health Application that aims to empower Type 1 and Type 2 diabetic patients by facilitating self-management of their disease. The application supports the collection of observations of daily living i.e. vital signs, diet, quality and quantity of sleep, physical parameters such as weight, mental parameters such as self-assessment of quality of life, level of mood and stress, and physical activity related information. The application can operate in stand-alone mode as a consumer health app running in smartphones and tablets. However, the full range of its functionality is available when integrated with a server-based patient empowerment framework that further facilitates diabetes management with the active involvement of healthcare professionals, the exploitation of inclusive knowledge from clinical guidelines, and the incorporation of comprehensive information material
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Mobile language learning now and in the future
The widespread ownership of mobile devices such as cellphones, personal media players, personal digital assistants (PDAs), smartphones and wireless laptops means that âmobile learningâ is no longer in the preserve of technical experts and researchers with specialist knowledge. Teachers and learners have begun to integrate mobile technologies into everyday practices and there is evidence of efforts to invent exciting new scenarios of use. Language learning is one of the disciplines that looks set to benefit from these developments. Learners can make good use of the facilities to record and to listen to audio at any time, supported by the rising availability of podcasts and the âalways onâ characteristics of portable devices which encourage spontaneous interactions. Mobile learning promises to deliver closer integration of language learning with everyday communication needs and cultural experiences
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