Title :
Designing an adaptive online advertisement system: A focus group methodology
Author :
Qudah, Dana A.Al ; Cristea, Alexandra I. ; Shi, Lei ; Alqatawna, Ja´far
Author_Institution :
Department of Computer Science, University of Warwick, CV4 7AL, Coventry, United Kingdom
Abstract :
Human Computer Interaction systems have access to the valuable resource of information that can be collected directly from users of these systems and services. This idea has become a part of the design process for systems that touch users´ perceptions — here, in the field of online advertising and marketing. This research paper discusses a revisited design for an adaptive online advertisement system called MyAds. The methodological approach used for proposing a new design was the focus group methodology, due to the fact that it produces concrete ideas that are needed at this stage of the research. The main outcomes of the experiment agreed on using Amazon as a motivational blueprint for the new design and generated a list of requirements from users, in order for their acceptance level of personalised online advertisements to increase.
Keywords :
Adaptive systems; Advertising; Facebook; Feature extraction; Twitter; Focus groups; HCI; adaptive; e-advertising; requirement list;
Conference_Titel :
Computer Science & Education (ICCSE), 2015 10th International Conference on
Conference_Location :
Cambridge, United Kingdom
Print_ISBN :
978-1-4799-6598-4
DOI :
10.1109/ICCSE.2015.7250236