Name
Abstract | ||
|---|---|---|
Memory deficit is one of the primary effects of intellectual disability, and has a great impact on daily life. Here, we propose a novel spatial memory training system based on a citizen science virtual environment, in which users navigate an aquatic robot in a polluted canal and identify specific objects from images acquired by the robot. A portable low-cost electroencephalography device is utilized to enhance the degree of interactivity and enable real-time estimation of the affective state of the user. We involved a cohort of 60 healthy adult subjects to evaluate users' interest, memory performance, and affective variables as a function of navigation modality (active versus passive) and interface (a traditional computer mouse versus the headset). Despite offering a higher level of difficulty, the headset was preferred over a traditional mouse control by the users, whose spatial memory performance did not vary with the navigation modality or the interface. Active navigation was found to lead to a higher level of engagement, as measured by the headset. These findings suggest the possibility of a new, effective, and entertaining form of intellectual rehabilitation with potential impact on fetal alcohol syndrome. We present a spatial memory training system using a low-cost EEG headset.The system is constructed around an environmental citizen science project.A group of healthy adults evaluated the system as highly engaging and entertaining.The headset was preferred to a traditional computer mouse.A higher engagement was attained during active navigation tasks. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.chb.2017.03.017 | Computers in Human Behavior |
Keywords | Field | DocType |
Affective state evaluation,Citizen science,Fetal alcohol syndrome,Intellectual disability,Spatial memory training | Social psychology,Headset,Rehabilitation,Interactivity,Intellectual disability,Virtual machine,Psychology,Citizen science,Robot,Affect (psychology),Multimedia | Journal |
Volume | Issue | ISSN |
73 | C | 0747-5632 |
Citations | PageRank | References |
2 | 0.43 | 18 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eduardo Palermo | 1 | 84 | 15.96 |
| Jeffrey Laut | 2 | 12 | 2.55 |
| Oded Nov | 3 | 984 | 63.88 |
| Paolo Cappa | 4 | 74 | 8.94 |
| Maurizio Porfiri | 5 | 437 | 47.05 |