Banca de QUALIFICAÇÃO: THIAGO DONIZETTI DOS SANTOS

Uma banca de QUALIFICAÇÃO de DOUTORADO foi cadastrada pelo programa.
DISCENTE : THIAGO DONIZETTI DOS SANTOS
DATA : 10/12/2021
HORA: 09:00
LOCAL: Por participação remota
TÍTULO:

Simplication of User Interface for Elderly People with Computer Anxiety

PÁGINAS: 180
GRANDE ÁREA: Ciências Exatas e da Terra
ÁREA: Ciência da Computação
RESUMO:

Computer Anxiety (CA) can be defined as intimidation, fear and worries that one will be embarrassed, will look stupid, or thinks she/he could damage or be unable to use the computer. So, in an age where people use technology daily, it would be expected that most people would not face problems like CA and that using computers would be natural for everyone. However, it is common for the use of computers to cause apprehension and fear in some people, and, to high levels, these people may demonstrate CA. People with CA (PwCA) face problems in using computers in different contexts. Such problems can be worsened in situations where people use computers because they have no alternative. For instance, to access government services available only through computer systems (e.g., document issuance, tax declarations, etc.), to exercise citizenship by voting with electronic voting machines, to use ATMs, to participate in distance learning courses and to work. Thus, problems related to CA may create multiple barriers for these people, revoking access to technology and, consequently, various work, study and leisure opportunities. Among the studies on CA, few works present solutions to reduce it and none of them propose an automatic personalization solution. In this context, the present work advances a master's project, which investigated the main characteristics related with how elderly PwCA interact with computers, relating them to interaction data (or interaction logs). Therefore, the purpose of this work is to use interaction logs analysis to automatically identify, in runtime, people who demonstrate high levels of CA while using computers to access the web, as well as identify the elements of user interface (UI) which may negatively impact the interaction and/or act as distractors in the task at hand. Based on this, the goal is to provide UI simplification for PwCA, changing or removing identified UI elements, reducing stimuli associated with CA and, consequently, contributing to the reduction of CA effects while interacting with the Web. Finally, in order to achieve these goals, a browser plugin is being developed to identify users with high levels of CA, identify task deviations, UI distractors, and apply simplifications to the UI.

MEMBROS DA BANCA:
Presidente - Interno ao Programa - 307.022.008-83 - VAGNER FIGUEREDO DE SANTANA - IBM RESEARCH
Membro Titular - Examinador(a) Externo à Instituição - EDSON RUFINO DE SOUZA - UFES
Membro Titular - Examinador(a) Externo à Instituição - TIAGO SILVA DA SILVA - UNIFESP
Membro Suplente - Examinador(a) Interno ao Programa - 2316523 - CARLA LOPES RODRIGUEZ
Membro Suplente - Examinador(a) Externo à Instituição - ROBERTO PEREIRA - UFPR