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005 | 20221128113745.0 | ||
008 | 221128b |||||||| |||| 00| 0 eng d | ||
040 |
_aMSU _cMSU _erda |
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100 |
_aZhang, Huiting _eauthor |
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245 |
_aThe role of static scene information on locomotion distance estimation _ccreated by Huiting Zhang, Kan Zhang, Ranxiao Frances Wang |
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264 |
_aUSA : _bTaylor & Francis; _c2013 |
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336 |
_2rdacontent _atext _btxt |
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337 |
_2rdamedia _aunmediated _bn |
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338 |
_2rdacarrier _avolume _bnc |
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440 | _vVolume , number , | ||
520 | _aJudgement of travelled distance is important for many spatial learning and navigation tasks, including path integration. Research on visual information for locomotion distance estimation has traditionally focused on the effect of motion cues. However, static visual information is also generally available during real world navigation. This study investigated the contribution of static visual information on the estimation of travelled distance using a static-frame paradigm. Participants viewed successive static snapshots of simulated self-locomotion along a tunnel containing either random texture or geometric shapes, and then reproduced the travelled distance in a different environment. The results showed that when the motion information was removed, the use of actual distance information was eliminated in the texture condition but remained when perceptual landmarks were present, suggesting that static scene information from identifiable objects can support locomotion distance judgements. Moreover, travel duration was also used in conjunction with the spatial information. These findings suggest that studies involving locomotion distance estimation need to consider the potential contributions of the static scene mechanism and the temporal information in addition to the motion-based mechanism. | ||
650 | _aDistance estimation | ||
650 | _aLocomotion | ||
650 | _aOptic flow | ||
700 |
_aZhang, Kan _eauthor |
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700 |
_aWang, Ranxiao Frances _eauthor |
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856 | _uhttps://doi.org/10.1080/20445911.2012.744314 | ||
942 |
_2lcc _cJA |
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999 |
_c160626 _d160626 |