Perspective Illusions Based On Convergence Vectors

Hiris, Eric

doi:10.1177/0301006619866303

Cited by 1 publication

(7 citation statements)

References 7 publications

(21 reference statements)

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“…These results, where orientations of replicated oblique sidewalks are misperceived in the same way are difficult to account for in terms of a new point of observation (Parovel & Costall, 2018) which would predict shifts in the opposite direction as seen in our receding straight—receding straight condition. An explanation based on convergence vectors (Hiris, 2019) does not explain the result either, as it makes the same general predictions as a shift in the observation point.…”

Section: Discussionmentioning

confidence: 85%

“…These data can be used to rule out some explanations of how people integrate perspective across multiple pictures (e.g., a new observation point, convergence vectors) and could be used to inform models of perspective space (Erkelens, 2017). It may also be fruitful to investigate the relationship of the current findings to individual differences in perception of how parallel objects appear (Hiris, 2019) and the individual differences in the distance required for images to be no longer visually integrated (Parovel & Costall, 2018).…”

Section: Discussionmentioning

confidence: 99%

“…Orsten and Pomerantz (2014) explain the TRI as being the result of identical roads not sharing a vanishing point and therefore appear to be nonidentical; roads that do share a vanishing point (the appropriate nonidentical road) appear to be identical. Hiris (2019) introduced the concept of “convergence vectors” to explain aspects of the TRI and LTI. In perspective drawings and pictures, parallel lines converge on a vanishing point.…”

mentioning

confidence: 99%

“…Although the demonstrations are convincing, there are no specific quantifications of the size of the LTI (or TRI) and this makes it difficult to arrive at entirely convincing explanations of the LTI and TRI. Except for Hiris (2019) and Orsten and Pomerantz (2014), past studies have focused on presenting identical copies of an image side-by-side. Knowledge that the images are identical, even though they do not appear to be, makes it easy to appreciate the LTI.…”

mentioning

confidence: 99%

“…There is general agreement on a perspective-based explanation of the LTI (Erkelens, 2015;Hiris, 2019;Kingdom et al, 2007;Martinez-Conde, 2018;Orsten & Pomerantz, 2014;Parovel & Costall, 2018, Yoonessi et al, 2008. However, all of these studies rely on demonstrations rather than data collection.…”

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confidence: 99%

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The Misperception of Orientation in Depth When Processing Multiple Pictures With Linear Perspective Cues

et al. 2021

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The leaning tower illusion suggests that combining perspective cues across multiple images can affect the perceived orientation of objects in space. We measured the accuracy of orientation perception when viewing multiple pictures. Across several experiments, 11–16 participants viewed two pictures: a sidewalk and either another sidewalk, a nature scene, or no picture. Participants adjusted an on-screen line to match the remembered orientation of one of the sidewalks. Participants also made a judgment about the parallelism of the sidewalks. Sidewalks perceived as parallel were perceived to have orientations more similar to each other than when they were paired with a nature scene or no picture. The degree of misperception can be approximately twice as large as in the leaning tower illusion, and this effect survived inversion and partially survived alternating presentation of the images. The misperception was eliminated when the participants were cued on which sidewalk they would be judging; however, when forced to process both sidewalks, the misperception reappeared. We conclude that the orientation of objects with perspective cues is misperceived when viewing multiple pictures with perspective cues and this misperception appears to be related at least in part to how parallel those objects are perceived to be.

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Section: Discussionmentioning

confidence: 85%