90 citations · 242 across the 9 of their papers we have counts for
10 papers
The Elements of Visual Art Recommendation: Learning Latent Semantic Representations of Paintings
Bereket A. Yilma, Luis A. Leiva
Artwork recommendation is challenging because it requires understanding how users interact with highly subjective content, the complexity of the concepts embedded within the artwor…
A Contextual Framework for Adaptive User Interfaces: Modelling the Interaction Environment
Mateusz Dubiel, Bereket Abera Yilma, Kayhan Latifzadeh +1
The interaction context (or environment) is key to any HCI task and especially to adaptive user interfaces (AUIs), since it represents the conditions under which users interact wit…
Adapting User Interfaces with Model-based Reinforcement Learning
Kashyap Todi, Gilles Bailly, Luis A. Leiva +1
Adapting an interface requires taking into account both the positive and negative effects that changes may have on the user. A carelessly picked adaptation may impose high costs to…
Understanding Visual Saliency in Mobile User Interfaces
Luis A. Leiva, Yunfei Xue, Avya Bansal +4
For graphical user interface (UI) design, it is important to understand what attracts visual attention. While previous work on saliency has focused on desktop and web-based UIs, mo…
My Mouse, My Rules: Privacy Issues of Behavioral User Profiling via Mouse Tracking
Luis A. Leiva, Ioannis Arapakis, Costas Iordanou
This paper aims to stir debate about a disconcerting privacy issue on web browsing that could easily emerge because of unethical practices and uncontrolled use of technology. We de…
Query Abandonment Prediction with Recurrent Neural Models of Mouse Cursor Movements
Lukas Brückner, Ioannis Arapakis, Luis A. Leiva
Most successful search queries do not result in a click if the user can satisfy their information needs directly on the SERP. Modeling query abandonment in the absence of click-thr…
Human or Machine? It Is Not What You Write, But How You Write It
Luis A. Leiva, Moises Diaz, Miguel A. Ferrer +1
Online fraud often involves identity theft. Since most security measures are weak or can be spoofed, we investigate a more nuanced and less explored avenue: behavioral biometrics v…
Learning Efficient Representations of Mouse Movements to Predict User Attention
Ioannis Arapakis, Luis A. Leiva
Tracking mouse cursor movements can be used to predict user attention on heterogeneous page layouts like SERPs. So far, previous work has relied heavily on handcrafted features, wh…
Omnis Prædictio: Estimating the Full Spectrum of Human Performance with Stroke Gestures
Luis A. Leiva, Radu-Daniel Vatavu, Daniel Martín-Albo +1
Designing effective, usable, and widely adoptable stroke gesture commands for graphical user interfaces is a challenging task that traditionally involves multiple iterative rounds…
A Price-Per-Attention Auction Scheme Using Mouse Cursor Information
Ioannis Arapakis, Antonio Penta, Hideo Joho +1
Payments in online ad auctions are typically derived from click-through rates, so that advertisers do not pay for ineffective ads. But advertisers often care about more than just c…