Analytical Model for Classifying Areas of Interest in Interactive Systems
Authors: 
Danilo Teixeira Lima, 
Rodrigo Oliveira Zacarias, Kennedy Edson Silva de Souza, 
Rodrigo Pereira dos Santos, Marcos César da Rocha SeruffoAuthors Info & Claims
Article No.: 4, Pages 1 - 6
Abstract
Several organizations have invested in solutions to improve user experience when interacting with computer systems and tools. One of the applied strategies is the study of users behavior in order to identify which areas of interest (AOI) mostly attract their attention in the application interfaces. In this context, this paper proposes an analytical model that defines AOI based on HyperText Markup Language (HTML) objects of the system interface and classifies them based on an algorithm that uses data from the Tracking Techniques Based User Experience Evaluation Tool (T2-UXT). To evaluate the proposal, a feasibility study was carried out on the Amazon portal. Results allow us to visualize a ranking of areas that mostly attract attention from users during the interaction. As such, it can assist organizations in the creation of interacting ways that benefit their interests as well as their customers' interests.
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Information
Published In
October 2021
523 pages
ISBN:9781450386173
DOI:10.1145/3472301
- General Chairs:
- Ingrid Teixeira Monteiro,
- Kamila Rios da Hora Rodrigues,
- Ticianne de Gois Ribeiro Darin,
- Program Chairs:
- André Pimenta Freire,
- Marcelle Pereira Mota
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- SBC: Brazilian Computer Society
- SIGCHI: ACM Special Interest Group on Computer-Human Interaction
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Association for Computing Machinery
New York, NY, United States
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Published: 18 October 2021
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IHC '21
IHC '21: XX Brazilian Symposium on Human Factors in Computing Systems
October 18 - 22, 2021
Virtual Event, Brazil
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IHC '21 Paper Acceptance Rate 29 of 77 submissions, 38%;
Overall Acceptance Rate 331 of 973 submissions, 34%
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