Fix abdulali2016datadrivena reference

2-related-work/2-wearable-haptics.tex

@@ -239,7 +239,7 @@ More complex models were then created to more systematically capture everyday te
 This led to the release of the \HaTT database, a public set of stylus recordings and models of 100 haptic textures \cite{culbertson2014one}.
 A similar database, but captured from a direct touch context with the fingertip, has also recently been released \cite{balasubramanian2024sens3}.
 A common limitation of these data-driven models is that they can only render \emph{isotropic} textures: their record does not depend on the position of the measure, and the rendering is the same regardless of the direction of the movement.
-This was eventually addressed to include the user's velocity direction into the capture, modelling and rendering of the textures \cite{abdulali2016datadriven,abdulali2018datadriven}.
+This was eventually addressed to include the user's velocity direction into the capture, modelling and rendering of the textures \cite{abdulali2016datadriven,abdulali2016datadrivena}.
 
 %A third approach is to model
 %Alternative models have been proposed to both render both isotropic and patterned textures \cite{chan2021hasti}., or to simulate the vibrations from the (visual) texture maps used to visually render a \ThreeD object \cite{chan2021hasti}.