{"schema":"record/v1","id":"art_01M5MV9HTHDVCV6TSWZ6KV3JXY","type":"article","revision":1,"etag":"\"r1.s0\"","title":"What public head-movement and saliency datasets exist for 360-degree content, and what do they show about where viewers look (and what they cannot show about story)?","summary":"Two open-access datasets papers were read: Sitzmann et al. (arXiv v2; 22 computer-generated static stereo panoramas, 169 users, 1980 gaze-and-head trajectories, three viewing conditions) report an equator bias and strong between-user agreement; Nasrabadi et al. (MMSys 2019; 28 videos built on a moving-object by camera-motion taxonomy, 60 participants, no audio; MIT-licensed GitHub repo with traces, questionnaires and scripts) report preliminary signs that viewers tend to look at moving targets, with exceptions, and more dispersed viewing in higher-altitude shots. Nasrabadi et al. also list other datasets with participant counts (e.g. 59 participants/5 videos; 48 subjects/20 videos; 57 subjects with eye data) and note viewing is more scattered under free viewing than when questioned afterward. These datasets describe viewing of short, mostly narrative-free content and do not test story comprehension or missed events.","status":"active","body":{"text":"Two open-access datasets papers were read: Sitzmann et al. (arXiv v2; 22 computer-generated static stereo panoramas, 169 users, 1980 gaze-and-head trajectories, three viewing conditions) report an equator bias and strong between-user agreement; Nasrabadi et al. (MMSys 2019; 28 videos built on a moving-object by camera-motion taxonomy, 60 participants, no audio; MIT-licensed GitHub repo with traces, questionnaires and scripts) report preliminary signs that viewers tend to look at moving targets, with exceptions, and more dispersed viewing in higher-altitude shots. Nasrabadi et al. also list other datasets with participant counts (e.g. 59 participants/5 videos; 48 subjects/20 videos; 57 subjects with eye data) and note viewing is more scattered under free viewing than when questioned afterward. These datasets describe viewing of short, mostly narrative-free content and do not test story comprehension or missed events.\n\nCurator qualifications: Gaze datasets: Sitzmann (equator bias, strong between-user agreement on static panoramas) and Nasrabadi (moving-object by camera-motion taxonomy).\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://arxiv.org/html/1612.04335v2","note":"candidate evidence excerpts"},{"url":"https://arxiv.org/html/1905.03823v1","note":"candidate evidence excerpts"}]},"categories":["T15","T19","T20"],"tags":[],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null,"claims":[{"url":"https://arxiv.org/html/1612.04335v2","claim":"Two open-access datasets papers were read: Sitzmann et al. (arXiv v2; 22 computer-generated static stereo panoramas, 169 users, 1980 gaze-and-head trajectories, three viewing conditions) report an equator bias and strong between-user agreement; Nasrabadi et al. (MMSys 2019; 28 videos built on a moving-object by camera-motion taxonomy, 60 participants, no audio; MIT-licensed GitHub repo with traces, questionnaires and scripts) report preliminary signs that viewers tend to look at moving targets, with exceptions, and more dispersed viewing in higher-altitude shots. Nasrabadi et al. also list other datasets with participant counts (e.g. 59 participants/5 videos; 48 subjects/20 videos; 57 subjects with eye data) and note viewing is more scattered under free viewing than when questioned afterward. 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(arXiv v2; 22 computer-generated static stereo panoramas, 169 users, 1980 gaze-and-head trajectories, three viewing conditions) report an equator bias and strong between-user agreement; Nasrabadi et al. (MMSys 2019; 28 videos built on a moving-object by camera-motion taxonomy, 60 participants, no audio; MIT-licensed GitHub repo with traces, questionnaires and scripts) report preliminary signs that viewers tend to look at moving targets, with exceptions, and more dispersed viewing in higher-altitude shots. Nasrabadi et al. also list other datasets with participant counts (e.g. 59 participants/5 videos; 48 subjects/20 videos; 57 subjects with eye data) and note viewing is more scattered under free viewing than when questioned afterward. These datasets describe viewing of short, mostly narrative-free content and do not test story comprehension or missed events.\n\nCurator qualifications: Gaze datasets: Sitzmann (equator bias, strong between-user agreement on static panoramas) and Nasrabadi (moving-object by camera-motion taxonomy).\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://arxiv.org/html/1612.04335v2","note":"candidate evidence excerpts"},{"url":"https://arxiv.org/html/1905.03823v1","note":"candidate evidence excerpts"}]},"tags":[],"type":"article","links":[],"title":"What public head-movement and saliency datasets exist for 360-degree content, and what do they show about where viewers look (and what they cannot show about story)?","rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"summary":"Two open-access datasets papers were read: Sitzmann et al. (arXiv v2; 22 computer-generated static stereo panoramas, 169 users, 1980 gaze-and-head trajectories, three viewing conditions) report an equator bias and strong between-user agreement; Nasrabadi et al. (MMSys 2019; 28 videos built on a moving-object by camera-motion taxonomy, 60 participants, no audio; MIT-licensed GitHub repo with traces, questionnaires and scripts) report preliminary signs that viewers tend to look at moving targets, with exceptions, and more dispersed viewing in higher-altitude shots. Nasrabadi et al. also list other datasets with participant counts (e.g. 59 participants/5 videos; 48 subjects/20 videos; 57 subjects with eye data) and note viewing is more scattered under free viewing than when questioned afterward. 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