most citedA Contextual Framework for Adaptive User Interfaces: Modelling the Interaction Environment

5 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2025

Assessing Medical Training Skills via Eye and Head Movements

Kayhan Latifzadeh, Luis A. Leiva, Klen Čopič Pucihar +3

We examined eye and head movements to gain insights into skill development in clinical settings. A total of 24 practitioners participated in simulated baby delivery training sessio…

cs.HC2025

A Versatile Dataset of Mouse and Eye Movements on Search Engine Results Pages

Kayhan Latifzadeh, Jacek Gwizdka, Luis A. Leiva

We contribute a comprehensive dataset to study user attention and purchasing behavior on Search Engine Result Pages (SERPs). Previous work has relied on mouse movements as a low-co…

cs.HC2025

Thalamus: A User Simulation Toolkit for Prototyping Multimodal Sensing Studies

Kayhan Latifzadeh, Luis A. Leiva

Conducting user studies that involve physiological and behavioral measurements is very time-consuming and expensive, as it not only involves a careful experiment design, device cal…

cs.IR20251 cited

AdSight: Scalable and Accurate Quantification of User Attention in Multi-Slot Sponsored Search

Mario Villaizán-Vallelado, Matteo Salvatori, Kayhan Latifzadeh +3

Modern Search Engine Results Pages (SERPs) present complex layouts where multiple elements compete for visibility. Attention modelling is crucial for optimising web design and comp…

cs.HC20225 cited

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…