13,797 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
Can Resilience Be Our Teacher Super-power?
Teaching is courageous work. Today\u27s teachers face heavy workloads and growing emotional responsibilities as K-12 students and families face complicated hurdles and issues such as mental health issues, immigration, and natural disasters. This essay names resilience, grit, and perseverance as essential dispositions needed to tackle the daily hurdles and unexpected circumstances found in the classroom and pre-service teacher preparation. The author’s reflections lead to practical recommendations with the intention to nurture and cultivate resilience in teachers and school communities
Bringing the Semantic Web home: a research agenda for local, personalized SWUI
We suggest that by taking the Semantic Web local and personal, and deploying it as a shared "data sea" for all applications to trawl, new types of interaction are possible (even necessitated) with this heterogeneous source integration. We present a motivating scenario to foreground the kind of interaction we envision as possible, and outline a series of associated questions about data integration issues, and in particular about the interaction challenges fostered by these new possibilities. We sketch out some early approaches to these questions, but our goal is to identify a wider field of questions for the SWUI community in considering the implications of a local/social semantic web, not just a public one, for interaction
Do you knowdis? A user study of a knowledge discovery tool for organizations
Organisations today have no reliable way of ensuring that all employees are aware of information that may be relevant to their work. In this paper we report on a 2-year project in which we have iteratively designed, developed and tested a knowledge discovery system (KnowDis) for organizations. Early stages of our study revealed that, employees do not know what is available on the corporate intranet, or files and messages they have stored. KnowDis proactively fetches relevant information and displays it in an unobtrusive form; this increases employee awareness without disrupting their tasks. We discuss and characterize knowledge workers' email usage behavior. Our main study with 28 users of KnowDis-enhanced email showed it can improve the user experience and performance on information retrieval tasks for knowledge workers
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