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

Young children learning with mobile devices: Research on design and implementation

The increasing growth and usage of mobile devices, such as tablets and iPads, by young children has not yet been accompanied by systematic research about the effects they have on children's learning and the conditions that facilitate or hinder learning and engagement. As a result, only few empirically-based guidelines exist to guide parents, educators, and application (app) designers when choosing or designing apps for young children, often leading to non-evidence-based decisions, or the design of apps with little educational value. This symposium aims to bring together researchers from Australia, the UK and USA to discuss what evidence exist about the learning potential of mobile devices and apps for young children and how it could be used to inform relevant stakeholders