A method including a retrieval of a digital representation of personality data of a user by a client device (502; 406) from a server , the digital representation of the personality data being processed at the client device to adapt a vehicle's driving configuration to the user , the method being performed by the server and comprising: storing (S202) a neural network trained to compute personality data of a user based on input obtained from the user ; receiving (S204), from the client device (502; 406), a request for a digital representation of personality data for a user ; and sending (S206), to the client device (502; 406), the requested digital representation of the personality data of the user , the digital representation of the personality data of the user being processed at the client device (502; 406) to adapt a driving configuration of a vehicle to a personality of the user , wherein the personality data of the user is computed using the neural network based on input obtained from the user , wherein the personality data of the user is indicative of psychological characteristics of the user and wherein the input obtained from the user corresponds to digital scores reflecting answers to questions regarding the personality of the user , wherein each digital score is used as input to a separate input node of the neural network when computing the personality data of the user using the neural network , and wherein the questions correspond to questions selected from a set of questions representative of an optimally achievable result of computing personality data of a user , wherein the set of questions corresponds to questions of at least one of the International Personality Item Pool (IPIP), HEXACO-60 and Big-Five-Inventory-10 (BFI-10) pools, wherein the selected questions correspond to questions of the set of questions which are determined to be most influential with respect to the optimally achievable result, and wherein the neural network is trained based on data collected in a survey conducted with a plurality test persons, wherein the survey is carried out using the set of questions. storing (S202) a neural network trained to compute personality data of a user based on input obtained from the user ; receiving (S204), from the client device (502; 406), a request for a digital representation of personality data for a user ; and sending (S206), to the client device (502; 406), the requested digital representation of the personality data of the user , the digital representation of the personality data of the user being processed at the client device (502; 406) to adapt a driving configuration of a vehicle to a personality of the user , wherein the personality data of the user is computed using the neural network based on input obtained from the user , wherein the personality data of the user is indicative of psychological characteristics of the user and wherein the input obtained from the user corresponds to digital scores reflecting answers to questions regarding the personality of the user , wherein each digital score is used as input to a separate input node of the neural network when computing the personality data of the user using the neural network , and wherein the questions correspond to questions selected from a set of questions representative of an optimally achievable result of computing personality data of a user , wherein the set of questions corresponds to questions of at least one of the International Personality Item Pool (IPIP), HEXACO-60 and Big-Five-Inventory-10 (BFI-10) pools, wherein the selected questions correspond to questions of the set of questions which are determined to be most influential with respect to the optimally achievable result, and wherein the neural network is trained based on data collected in a survey conducted with a plurality test persons, wherein the survey is carried out using the set of questions. <EOS>