Name
Title | ||
|---|---|---|
Active glass-type human augmented cognition system considering attention and intention. |
Abstract | ||
|---|---|---|
Human cognition is the result of an interaction of several complex cognitive processes with limited capabilities. Therefore, the primary objective of human cognitive augmentation is to assist and expand these limited human cognitive capabilities independently or together. In this study, we propose a glass-type human augmented cognition system, which attempts to actively assist human memory functions by providing relevant, necessary and intended information by constantly assessing intention of the user. To achieve this, we exploit selective attention and intention processes. Although the system can be used in various real-life scenarios, we test the performance of the system in a person identity scenario. To detect the intended face, the system analyses the gaze points and change in pupil size to determine the intention of the user. An assessment of the gaze points and change in pupil size together indicates that the user intends to know the identity and information about the person in question. Then, the system retrieves several clues through speech recognition system and retrieves relevant information about the face, which is finally displayed through head-mounted display. We present the performance of several components of the system. Our results show that the active and relevant assistance based on users' intention significantly helps the enhancement of memory functions. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1080/09540091.2015.1051513 | Connect. Sci. |
Keywords | Field | DocType |
human augmented cognition system,cognitive augmentation,human intention,selective attention,human-machine interaction | Human memory,Computer science,Augmented cognition,Human–computer interaction,Artificial intelligence,Cognition,Human machine interaction,Memory functions,Gaze,Simulation,Selective attention,Exploit,Machine learning | Journal |
Volume | Issue | ISSN |
27 | 4 | 0954-0091 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bumhwi Kim | 1 | 23 | 5.11 |
| Amitash Ojha | 2 | 18 | 5.60 |
| Minho Lee | 3 | 4 | 3.16 |