Scoping Review of Bioelectrical Signals Uses in Videogames for Evaluation Purposes
Bioelectric signals can improve assessment in videogames by helping to better understand user experience, evaluate attention, or study the cognitive and physical effects of games. Use of signals is therefore relevant to better evaluate and understand the impact and effects of videogames on players,...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9913957/ |
| _version_ | 1828342995012812800 |
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| author | Antonio Calvo-Morata Manuel Freire Ivan Martinez-Ortiz Baltasar Fernandez-Manjon |
| author_facet | Antonio Calvo-Morata Manuel Freire Ivan Martinez-Ortiz Baltasar Fernandez-Manjon |
| author_sort | Antonio Calvo-Morata |
| collection | DOAJ |
| description | Bioelectric signals can improve assessment in videogames by helping to better understand user experience, evaluate attention, or study the cognitive and physical effects of games. Use of signals is therefore relevant to better evaluate and understand the impact and effects of videogames on players, and specially so in the field of serious games, such as educational or training games, to gain insights into the learning processes; or in games for health to better evaluate non-conscious effects on the player’s body. We examine how biological signals (bioelectric + eye-tracking) are being used and collected in the field of video games, including the choice of signals, the devices used to collect them (e.g., wearables), the purposes for which they are collected, and the results reported from their use. As a result of this systematic literature review, 81 articles have been analyzed, finding that electrocardiograms and encephalograms are the most frequently used signals. The main use of these bioelectrical signals is to evaluate player engagement, level of difficulty, and stress during the gameplay. But there are also examples where signals are used to detect health problems, or as evidence to compare educational games with other learning activities. This review informs researchers interested in better understanding the benefits and limitations of biological signals for video games, providing an overview of studies conducted in recent years and the associated devices described in those studies. Limitations in this field include signal noise issues as well as the amount of time required to calibrate the devices during experiments, adding to the complexity of user testing. It is necessary to work on tools that facilitate experiments with large groups of users in parallel as well as to work on open software and low-cost devices that allow the emergence of a greater number of studies in this field, given for example their potential in the field of educational games to better understand the learning processes of users. |
| first_indexed | 2024-04-13T23:36:55Z |
| format | Article |
| id | doaj.art-3e32f402cfdd4a33b5d1173b1edc7615 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-13T23:36:55Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-3e32f402cfdd4a33b5d1173b1edc76152022-12-22T02:24:42ZengIEEEIEEE Access2169-35362022-01-011010770310771510.1109/ACCESS.2022.32130709913957Scoping Review of Bioelectrical Signals Uses in Videogames for Evaluation PurposesAntonio Calvo-Morata0https://orcid.org/0000-0001-8701-7582Manuel Freire1https://orcid.org/0000-0003-4596-3823Ivan Martinez-Ortiz2Baltasar Fernandez-Manjon3https://orcid.org/0000-0002-8200-6216Department of Software Engineering and Artificial Intelligence, Complutense University of Madrid, Madrid, SpainDepartment of Software Engineering and Artificial Intelligence, Complutense University of Madrid, Madrid, SpainDepartment of Software Engineering and Artificial Intelligence, Complutense University of Madrid, Madrid, SpainDepartment of Software Engineering and Artificial Intelligence, Complutense University of Madrid, Madrid, SpainBioelectric signals can improve assessment in videogames by helping to better understand user experience, evaluate attention, or study the cognitive and physical effects of games. Use of signals is therefore relevant to better evaluate and understand the impact and effects of videogames on players, and specially so in the field of serious games, such as educational or training games, to gain insights into the learning processes; or in games for health to better evaluate non-conscious effects on the player’s body. We examine how biological signals (bioelectric + eye-tracking) are being used and collected in the field of video games, including the choice of signals, the devices used to collect them (e.g., wearables), the purposes for which they are collected, and the results reported from their use. As a result of this systematic literature review, 81 articles have been analyzed, finding that electrocardiograms and encephalograms are the most frequently used signals. The main use of these bioelectrical signals is to evaluate player engagement, level of difficulty, and stress during the gameplay. But there are also examples where signals are used to detect health problems, or as evidence to compare educational games with other learning activities. This review informs researchers interested in better understanding the benefits and limitations of biological signals for video games, providing an overview of studies conducted in recent years and the associated devices described in those studies. Limitations in this field include signal noise issues as well as the amount of time required to calibrate the devices during experiments, adding to the complexity of user testing. It is necessary to work on tools that facilitate experiments with large groups of users in parallel as well as to work on open software and low-cost devices that allow the emergence of a greater number of studies in this field, given for example their potential in the field of educational games to better understand the learning processes of users.https://ieeexplore.ieee.org/document/9913957/Assessmentbiosignalsevaluationserious gamesvideogames |
| spellingShingle | Antonio Calvo-Morata Manuel Freire Ivan Martinez-Ortiz Baltasar Fernandez-Manjon Scoping Review of Bioelectrical Signals Uses in Videogames for Evaluation Purposes IEEE Access Assessment biosignals evaluation serious games videogames |
| title | Scoping Review of Bioelectrical Signals Uses in Videogames for Evaluation Purposes |
| title_full | Scoping Review of Bioelectrical Signals Uses in Videogames for Evaluation Purposes |
| title_fullStr | Scoping Review of Bioelectrical Signals Uses in Videogames for Evaluation Purposes |
| title_full_unstemmed | Scoping Review of Bioelectrical Signals Uses in Videogames for Evaluation Purposes |
| title_short | Scoping Review of Bioelectrical Signals Uses in Videogames for Evaluation Purposes |
| title_sort | scoping review of bioelectrical signals uses in videogames for evaluation purposes |
| topic | Assessment biosignals evaluation serious games videogames |
| url | https://ieeexplore.ieee.org/document/9913957/ |
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