Supporting Content Design with an Eye Tracker: The Case of Weather-based Recommendations

TítuloSupporting Content Design with an Eye Tracker: The Case of Weather-based Recommendations
AutoresAlejandro Catala, Jose M. Alonso and Alberto Bugarin
TipoComunicación para congreso
Fonte Workshop on Intelligent Interactive Systems and Language Generation (2IS&NLG) collocated with the 11th International Conference on Natural Language Generation (INLG), Tilburg (The Netherlands), Association for Computational Linguistics, pp. 36--41 , 2018.
ISBN978-1-948087-88-9
AbstractContent design in context-aware services and applications is a matter of careful design. As an intermediate step in our work to produce an algorithm capable of generating automatically recommendations that are acceptable and readable, we have conducted a preliminary pilot study involving an eye tracker as part of our methodology to capture more valuable data in early design stages. The focus of our study is on weather-based recommendations which are likely to be useful in context-aware services and applications that give timely information and support users decision making. The results offer key observations on the relevant items that must be exploited in future designs.
Palabras chavecontent design; weather-based recommendations; eye tracker; user validation; content generation