Abstract
Aim: The use of video teaching content in medical education, and particularly for resuscitation training, has significantly increased. Artificial intelligence (AI) technology can be used to analyse the interaction between viewers and the video content to enable understanding of which videos are engaging and informative. This study uses Realeyes AI technology to measure engagement levels and the emotions elicited from four popular resuscitation and patient safety teaching videos with the aim of assessing the educational efficacy of these videos.
Method: A range of healthcare professionals were recruited for this study and four hundred views were registered and analysed. Participants watched the videos through webcams on their personal devices, while the Realeyes™ AI platform prospectively assessed and analysed attention, emotions, and sentiment throughout the viewing process.
Participants completed one questionnaire prior to viewing the videos that captured their perceived abilities to manage in-hospital cardiac arrests, and a second questionnaire afterwards which recorded the overall impact of the video.
Results: All four videos generated strong emotional engagement and maintained viewers’ attention levels although the videos mainly elicited negative emotions. Viewers outlined several key learning points from each video, and two of the videos increased viewers’ confidence in using the techniques described. Most viewers appreciated the information given in the videos, but some viewers criticised the procedural accuracy in some videos and inclusion of some unrealistic scenarios.
Conclusion: The use of the Realeyes AI technology provided a unique approach to evaluating the effectiveness of educational videos.
Method: A range of healthcare professionals were recruited for this study and four hundred views were registered and analysed. Participants watched the videos through webcams on their personal devices, while the Realeyes™ AI platform prospectively assessed and analysed attention, emotions, and sentiment throughout the viewing process.
Participants completed one questionnaire prior to viewing the videos that captured their perceived abilities to manage in-hospital cardiac arrests, and a second questionnaire afterwards which recorded the overall impact of the video.
Results: All four videos generated strong emotional engagement and maintained viewers’ attention levels although the videos mainly elicited negative emotions. Viewers outlined several key learning points from each video, and two of the videos increased viewers’ confidence in using the techniques described. Most viewers appreciated the information given in the videos, but some viewers criticised the procedural accuracy in some videos and inclusion of some unrealistic scenarios.
Conclusion: The use of the Realeyes AI technology provided a unique approach to evaluating the effectiveness of educational videos.
| Original language | English |
|---|---|
| Number of pages | 21 |
| Journal | Resuscitation Plus |
| Publication status | Submitted - 21 Mar 2024 |