Presentation | 2018-06-15 A study of difficulty control method in change detection task using everyday object images Takeshi Hizukuri, Takatsugu Hirayama, Yu Enokibori, Kenji Mase, |
---|---|
PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Demand for dementia prevention has been increasing in recent years. Cognitive training is being carried out to improve cognitive function as one of dementia prevention methods. In order to realize the training of cognitive functions for elderly people required in daily life, this study examined the difficulty control method for change detection task using everyday object images. This task presents a subject five everyday objects on a display and asks him/her to detect an object rotated after a timeinterval. From the experimental results, it was found that the correct answer rate is high when the appearances of the object before and after rotation are similar,whereas the correct answer rate is low when the rotated object is spatially isolated from the other objects. It was suggested that the difficulty level could be adjusted by the positional relationship between these objects and the visual similarity before and after rotation. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Change detection task / everyday object image / visual context |
Paper # | MVE2018-10 |
Date of Issue | 2018-06-07 (MVE) |
Conference Information | |
Committee | MVE / ITE-HI |
---|---|
Conference Date | 2018/6/14(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Kenji Mase(Nagoya Univ.) / Tatsuya Yoshizawa(Kanazawa Inst. of Tech.) |
Vice Chair | Masayuki Ihara(NTT) |
Secretary | Masayuki Ihara(NTT) / (Kyushu Univ.) |
Assistant | Satoshi Nishiguchi(Oosaka Inst. of Tech.) / Masanori Yokoyama(*) |
Paper Information | |
Registration To | Technical Committee on Media Experience and Virtual Environment / Technical Group on Human Information |
---|---|
Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A study of difficulty control method in change detection task using everyday object images |
Sub Title (in English) | |
Keyword(1) | Change detection task |
Keyword(2) | everyday object image |
Keyword(3) | visual context |
1st Author's Name | Takeshi Hizukuri |
1st Author's Affiliation | Nagoya University(Nagoya Univ.) |
2nd Author's Name | Takatsugu Hirayama |
2nd Author's Affiliation | Nagoya University(Nagoya Univ.) |
3rd Author's Name | Yu Enokibori |
3rd Author's Affiliation | Nagoya University(Nagoya Univ.) |
4th Author's Name | Kenji Mase |
4th Author's Affiliation | Nagoya University(Nagoya Univ.) |
Date | 2018-06-15 |
Paper # | MVE2018-10 |
Volume (vol) | vol.118 |
Number (no) | MVE-95 |
Page | pp.pp.167-172(MVE), |
#Pages | 6 |
Date of Issue | 2018-06-07 (MVE) |