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Luciana Cabral

dblp:170/7086 · DBLP profile ↗
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5ranked-venue papers
0as first author
1since 2021 · last 2021
0000-0001-9602-9729ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 3 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Immersive interaction · 77% Usability and user experience research · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Immersive interaction › virtual reality
presence
0.412019
Adaptation and validation of the ITC - Sense of Presence Inventory for the Portuguese language · Int. J. Hum. Comput. Stud. 2019
Usability and user experience research › psychometric evaluation
questionnaire validation
0.112019
Adaptation and validation of the ITC - Sense of Presence Inventory for the Portuguese language · Int. J. Hum. Comput. Stud. 2019

Methods — techniques the papers use, named apart from their topics

validation · 0.4scale adaptation · 0.4
YearPublicationVenuePosition
2021 Assessing presence in virtual environments: adaptation of the psychometric properties of the Presence Questionnaire to the Portuguese populations
abstract
Virtual Reality applications have the goal of transporting their users to a given virtual environment (VE). Thus, Presence is a consensual metric for evaluating the VEs' effectiveness. The present study adapts the Presence Questionnaire (PQ) for the Portuguese-speaking population, maintaining the validity of the contents and concepts, to ascertain the psychometric properties of the instrument.The adaptation to Portuguese was achieved through the standard adaptation process of translation and back-translation process. The sample consisted of 451 individuals (268 males and 183 females). Factor reliability ranged from 0.63 to 0.86. Confirmatory factor analysis produced a theoretical model of 21 items distributed among seven factors, where the covariance between some residual item errors was established. The fit indices obtained were χ2/df=2.077, GFI =0.936, CFI =0.937, RMSEA =0.049, P [RMSEA ≤0.05], MECVI =1.070. Results obtained allowed us to consider that the adapted Portuguese version of the PQ, with 21 items, forms a robust and valid questionnaire whose use is recommended to evaluate Presence in virtual reality research programmes, provided that they use samples of the Portuguese language (Europe).
José Vasconcelos-Raposo, Miguel Melo, Luís Barbosa, Carla Maria Teixeira, Luciana Cabral, Maximino Bessa
Behav. Inf. Technol.5
2019 Using Virtual Reality Tools for Teaching Foreign Languages
Bruno Peixoto, Darque Pinto, Aliane Loureiro Krassmann, Miguel Melo, Luciana Cabral, Maximino Bessa
WorldCIST (3)5
2019 Virtual Reality in Education: Learning a Foreign Language
Darque Pinto, Bruno Peixoto, Aliane Loureiro Krassmann, Miguel Melo, Luciana Cabral, Maximino Bessa
WorldCIST (3)5
2019 Adaptation and Validation of the Temple Presence Inventory in a Portuguese Population
abstract
The present study aims to translate and validate the Temple Presence Inventory (TPI) for the Portuguese context, respecting the maintenance of an equivalent semantics as well as the validity of its contents and concepts. This study also aims to verify the psychometric properties of the instrument (factor validity and internal consistency). The sample consisted of 455 individuals (male = 271, female = 184). The fidelity of the factors varied between 0.5 and 0.84. The confirmatory factor analysis produced a theoretical model with 38 items distributed among eight factors. The covariance between some residual errors of instrument items was considered, and the following fit indices were observed: χ2/df = 2.073; GFI = 0.858; CFI = 0.887; RSMEA = 0.049; AIC = 1527. The results confirm the appropriateness of the version adapted to the Portuguese language of the TPI and that it can be used in research projects aiming to evaluate Presence in the Portuguese-speaking population (Europe).
José Vasconcelos-Raposo, Maximino Bessa, Carla Maria Teixeira, Luciana Cabral, Miguel Melo
Int. J. Hum. Comput. Interact.4
2019 Adaptation and validation of the ITC - Sense of Presence Inventory for the Portuguese language
José Vasconcelos-Raposo, Miguel Melo, Carla Maria Teixeira, Luciana Cabral, Maximino Bessa
Int. J. Hum. Comput. Stud.4