DocumentCode
2167770
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
fYear
2015
fDate
22-24 July 2015
Firstpage
163
Lastpage
168
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science & Education (ICCSE), 2015 10th International Conference on
Conference_Location
Cambridge, United Kingdom
Print_ISBN
978-1-4799-6598-4
Type
conf
DOI
10.1109/ICCSE.2015.7250236
Filename
7250236
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