Poster: BystandAR: Protecting Bystander Visual Data in Augmented Reality Systems Article Swipe
Matthew Corbett
,
Brendan David-John
,
Jiacheng Shang
,
Yuanming Hu
,
Bo Ji
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1145/3581791.3597377
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1145/3581791.3597377
Augmented Reality (AR) devices are set apart from other mobile devices by the immersive experience they offer. While the powerful suite of sensors on modern AR devices is necessary for enabling such an immersive experience, they can create unease in bystanders (i.e., those surrounding the device during its use) due to potential bystander data leaks, which is called the bystander privacy problem. In this poster, we propose BystandAR, the first practical system that can effectively protect bystander visual (camera and depth) data in real-time with only on-device processing. BystandAR builds on a key insight that the device user’s eye gaze and voice are highly effective indicators for subject/bystander detection in interpersonal interaction, and leverages novel AR capabilities such as eye gaze tracking, wearer-focused microphone, and spatial awareness to achieve a usable frame rate without offloading sensitive information. Through a 16-participant user study,we showthat BystandAR correctly identifies and protects 98.14% of bystanders while allowing access to 96.27% of subjects. We accomplish this with average frame rates of 52.6 frames per second without the need to offload unprotected bystander data to another device.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1145/3581791.3597377
- OA Status
- green
- Cited By
- 1
- References
- 8
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4380928531
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4380928531Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1145/3581791.3597377Digital Object Identifier
- Title
-
Poster: BystandAR: Protecting Bystander Visual Data in Augmented Reality SystemsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-06-16Full publication date if available
- Authors
-
Matthew Corbett, Brendan David-John, Jiacheng Shang, Yuanming Hu, Bo JiList of authors in order
- Landing page
-
https://doi.org/10.1145/3581791.3597377Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://vtechworks.lib.vt.edu/bitstreams/cf24b85d-873f-4dc7-bf6b-17b8b86551f3/downloadDirect OA link when available
- Concepts
-
Bystander effect, Computer science, Gaze, USable, Human–computer interaction, Augmented reality, Mobile device, Frame rate, Frame (networking), Set (abstract data type), Computer vision, Multimedia, World Wide Web, Programming language, Telecommunications, Immunology, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1Per-year citation counts (last 5 years)
- References (count)
-
8Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4380928531 |
|---|---|
| doi | https://doi.org/10.1145/3581791.3597377 |
| ids.doi | https://doi.org/10.1145/3581791.3597377 |
| ids.openalex | https://openalex.org/W4380928531 |
| fwci | 0.61848763 |
| type | article |
| title | Poster: BystandAR: Protecting Bystander Visual Data in Augmented Reality Systems |
| awards[0].id | https://openalex.org/G3355780391 |
| awards[0].funder_id | https://openalex.org/F4320306076 |
| awards[0].display_name | |
| awards[0].funder_award_id | 112778 |
| awards[0].funder_display_name | National Science Foundation |
| awards[1].id | https://openalex.org/G3079467812 |
| awards[1].funder_id | https://openalex.org/F4320306076 |
| awards[1].display_name | |
| awards[1].funder_award_id | 2153397 |
| awards[1].funder_display_name | National Science Foundation |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | 584 |
| biblio.first_page | 583 |
| topics[0].id | https://openalex.org/T11800 |
| topics[0].field.id | https://openalex.org/fields/17 |
| topics[0].field.display_name | Computer Science |
| topics[0].score | 0.9954000115394592 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1710 |
| topics[0].subfield.display_name | Information Systems |
| topics[0].display_name | User Authentication and Security Systems |
| topics[1].id | https://openalex.org/T10648 |
| topics[1].field.id | https://openalex.org/fields/17 |
| topics[1].field.display_name | Computer Science |
| topics[1].score | 0.9909999966621399 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1709 |
| topics[1].subfield.display_name | Human-Computer Interaction |
| topics[1].display_name | Virtual Reality Applications and Impacts |
| topics[2].id | https://openalex.org/T11448 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9592000246047974 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1707 |
| topics[2].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[2].display_name | Face recognition and analysis |
| funders[0].id | https://openalex.org/F4320306076 |
| funders[0].ror | https://ror.org/021nxhr62 |
| funders[0].display_name | National Science Foundation |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C19106626 |
| concepts[0].level | 2 |
| concepts[0].score | 0.8653413653373718 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q230749 |
| concepts[0].display_name | Bystander effect |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.7714999914169312 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C2779916870 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6022630929946899 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q14467155 |
| concepts[2].display_name | Gaze |
| concepts[3].id | https://openalex.org/C2780615836 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5848994851112366 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q2471869 |
| concepts[3].display_name | USable |
| concepts[4].id | https://openalex.org/C107457646 |
| concepts[4].level | 1 |
| concepts[4].score | 0.5719326138496399 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q207434 |
| concepts[4].display_name | Human–computer interaction |
| concepts[5].id | https://openalex.org/C153715457 |
| concepts[5].level | 2 |
| concepts[5].score | 0.5652033686637878 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q254183 |
| concepts[5].display_name | Augmented reality |
| concepts[6].id | https://openalex.org/C186967261 |
| concepts[6].level | 2 |
| concepts[6].score | 0.46316373348236084 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q5082128 |
| concepts[6].display_name | Mobile device |
| concepts[7].id | https://openalex.org/C3261483 |
| concepts[7].level | 2 |
| concepts[7].score | 0.45918458700180054 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q119565 |
| concepts[7].display_name | Frame rate |
| concepts[8].id | https://openalex.org/C126042441 |
| concepts[8].level | 2 |
| concepts[8].score | 0.45658841729164124 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q1324888 |
| concepts[8].display_name | Frame (networking) |
| concepts[9].id | https://openalex.org/C177264268 |
| concepts[9].level | 2 |
| concepts[9].score | 0.4297754764556885 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q1514741 |
| concepts[9].display_name | Set (abstract data type) |
| concepts[10].id | https://openalex.org/C31972630 |
| concepts[10].level | 1 |
| concepts[10].score | 0.32511699199676514 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q844240 |
| concepts[10].display_name | Computer vision |
| concepts[11].id | https://openalex.org/C49774154 |
| concepts[11].level | 1 |
| concepts[11].score | 0.2497376799583435 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q131765 |
| concepts[11].display_name | Multimedia |
| concepts[12].id | https://openalex.org/C136764020 |
| concepts[12].level | 1 |
| concepts[12].score | 0.10666060447692871 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q466 |
| concepts[12].display_name | World Wide Web |
| concepts[13].id | https://openalex.org/C199360897 |
| concepts[13].level | 1 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q9143 |
| concepts[13].display_name | Programming language |
| concepts[14].id | https://openalex.org/C76155785 |
| concepts[14].level | 1 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q418 |
| concepts[14].display_name | Telecommunications |
| concepts[15].id | https://openalex.org/C203014093 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q101929 |
| concepts[15].display_name | Immunology |
| concepts[16].id | https://openalex.org/C86803240 |
| concepts[16].level | 0 |
| concepts[16].score | 0.0 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[16].display_name | Biology |
| keywords[0].id | https://openalex.org/keywords/bystander-effect |
| keywords[0].score | 0.8653413653373718 |
| keywords[0].display_name | Bystander effect |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.7714999914169312 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/gaze |
| keywords[2].score | 0.6022630929946899 |
| keywords[2].display_name | Gaze |
| keywords[3].id | https://openalex.org/keywords/usable |
| keywords[3].score | 0.5848994851112366 |
| keywords[3].display_name | USable |
| keywords[4].id | https://openalex.org/keywords/human–computer-interaction |
| keywords[4].score | 0.5719326138496399 |
| keywords[4].display_name | Human–computer interaction |
| keywords[5].id | https://openalex.org/keywords/augmented-reality |
| keywords[5].score | 0.5652033686637878 |
| keywords[5].display_name | Augmented reality |
| keywords[6].id | https://openalex.org/keywords/mobile-device |
| keywords[6].score | 0.46316373348236084 |
| keywords[6].display_name | Mobile device |
| keywords[7].id | https://openalex.org/keywords/frame-rate |
| keywords[7].score | 0.45918458700180054 |
| keywords[7].display_name | Frame rate |
| keywords[8].id | https://openalex.org/keywords/frame |
| keywords[8].score | 0.45658841729164124 |
| keywords[8].display_name | Frame (networking) |
| keywords[9].id | https://openalex.org/keywords/set |
| keywords[9].score | 0.4297754764556885 |
| keywords[9].display_name | Set (abstract data type) |
| keywords[10].id | https://openalex.org/keywords/computer-vision |
| keywords[10].score | 0.32511699199676514 |
| keywords[10].display_name | Computer vision |
| keywords[11].id | https://openalex.org/keywords/multimedia |
| keywords[11].score | 0.2497376799583435 |
| keywords[11].display_name | Multimedia |
| keywords[12].id | https://openalex.org/keywords/world-wide-web |
| keywords[12].score | 0.10666060447692871 |
| keywords[12].display_name | World Wide Web |
| language | en |
| locations[0].id | doi:10.1145/3581791.3597377 |
| locations[0].is_oa | False |
| locations[0].source | |
| locations[0].license | |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | proceedings-article |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services |
| locations[0].landing_page_url | https://doi.org/10.1145/3581791.3597377 |
| locations[1].id | pmh:oai:vtechworks.lib.vt.edu:10919/115733 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400248 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | VTechWorks (Virginia Tech) |
| locations[1].source.host_organization | https://openalex.org/I859038795 |
| locations[1].source.host_organization_name | Virginia Tech |
| locations[1].source.host_organization_lineage | https://openalex.org/I859038795 |
| locations[1].license | |
| locations[1].pdf_url | https://vtechworks.lib.vt.edu/bitstreams/cf24b85d-873f-4dc7-bf6b-17b8b86551f3/download |
| locations[1].version | submittedVersion |
| locations[1].raw_type | Text |
| locations[1].license_id | |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | http://hdl.handle.net/10919/115733 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5034528455 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-1315-5066 |
| authorships[0].author.display_name | Matthew Corbett |
| authorships[0].countries | US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I859038795 |
| authorships[0].affiliations[0].raw_affiliation_string | Virginia Tech, Blackburg, VA, United States of America |
| authorships[0].institutions[0].id | https://openalex.org/I859038795 |
| authorships[0].institutions[0].ror | https://ror.org/02smfhw86 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I859038795 |
| authorships[0].institutions[0].country_code | US |
| authorships[0].institutions[0].display_name | Virginia Tech |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Matthew Corbett |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Virginia Tech, Blackburg, VA, United States of America |
| authorships[1].author.id | https://openalex.org/A5070114175 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-3292-1130 |
| authorships[1].author.display_name | Brendan David-John |
| authorships[1].countries | US |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I859038795 |
| authorships[1].affiliations[0].raw_affiliation_string | Virginia Tech, Blackburg, VA, USA |
| authorships[1].institutions[0].id | https://openalex.org/I859038795 |
| authorships[1].institutions[0].ror | https://ror.org/02smfhw86 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I859038795 |
| authorships[1].institutions[0].country_code | US |
| authorships[1].institutions[0].display_name | Virginia Tech |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Brendan David-John |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Virginia Tech, Blackburg, VA, USA |
| authorships[2].author.id | https://openalex.org/A5020662666 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-3695-0991 |
| authorships[2].author.display_name | Jiacheng Shang |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I166088655 |
| authorships[2].affiliations[0].raw_affiliation_string | Montclair State University, Montclair, NJ, United States of America |
| authorships[2].institutions[0].id | https://openalex.org/I166088655 |
| authorships[2].institutions[0].ror | https://ror.org/01nxc2t48 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I166088655 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | Montclair State University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Jiacheng Shang |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Montclair State University, Montclair, NJ, United States of America |
| authorships[3].author.id | https://openalex.org/A5068155662 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-1136-9909 |
| authorships[3].author.display_name | Yuanming Hu |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I219193219 |
| authorships[3].affiliations[0].raw_affiliation_string | Purdue University, West Lafayette, IN, United States of America |
| authorships[3].institutions[0].id | https://openalex.org/I219193219 |
| authorships[3].institutions[0].ror | https://ror.org/02dqehb95 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I219193219 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | Purdue University West Lafayette |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Y. Charlie Hu |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Purdue University, West Lafayette, IN, United States of America |
| authorships[4].author.id | https://openalex.org/A5040279482 |
| authorships[4].author.orcid | https://orcid.org/0000-0003-0149-7509 |
| authorships[4].author.display_name | Bo Ji |
| authorships[4].countries | US |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I859038795 |
| authorships[4].affiliations[0].raw_affiliation_string | Virginia Tech, Blacksburg, VA, United States of America |
| authorships[4].institutions[0].id | https://openalex.org/I859038795 |
| authorships[4].institutions[0].ror | https://ror.org/02smfhw86 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I859038795 |
| authorships[4].institutions[0].country_code | US |
| authorships[4].institutions[0].display_name | Virginia Tech |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | Bo Ji |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Virginia Tech, Blacksburg, VA, United States of America |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://vtechworks.lib.vt.edu/bitstreams/cf24b85d-873f-4dc7-bf6b-17b8b86551f3/download |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Poster: BystandAR: Protecting Bystander Visual Data in Augmented Reality Systems |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11800 |
| primary_topic.field.id | https://openalex.org/fields/17 |
| primary_topic.field.display_name | Computer Science |
| primary_topic.score | 0.9954000115394592 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1710 |
| primary_topic.subfield.display_name | Information Systems |
| primary_topic.display_name | User Authentication and Security Systems |
| related_works | https://openalex.org/W2053004761, https://openalex.org/W2060232277, https://openalex.org/W2372296322, https://openalex.org/W2370719635, https://openalex.org/W2359636035, https://openalex.org/W2620667791, https://openalex.org/W2083162155, https://openalex.org/W2015652414, https://openalex.org/W1979091441, https://openalex.org/W2010516505 |
| cited_by_count | 1 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| locations_count | 2 |
| best_oa_location.id | pmh:oai:vtechworks.lib.vt.edu:10919/115733 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400248 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | False |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | VTechWorks (Virginia Tech) |
| best_oa_location.source.host_organization | https://openalex.org/I859038795 |
| best_oa_location.source.host_organization_name | Virginia Tech |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I859038795 |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://vtechworks.lib.vt.edu/bitstreams/cf24b85d-873f-4dc7-bf6b-17b8b86551f3/download |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | Text |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | http://hdl.handle.net/10919/115733 |
| primary_location.id | doi:10.1145/3581791.3597377 |
| primary_location.is_oa | False |
| primary_location.source | |
| primary_location.license | |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | proceedings-article |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services |
| primary_location.landing_page_url | https://doi.org/10.1145/3581791.3597377 |
| publication_date | 2023-06-16 |
| publication_year | 2023 |
| referenced_works | https://openalex.org/W2782786191, https://openalex.org/W2785355036, https://openalex.org/W4285815540, https://openalex.org/W2529431648, https://openalex.org/W4206348727, https://openalex.org/W2626969969, https://openalex.org/W2147815065, https://openalex.org/W3125253952 |
| referenced_works_count | 8 |
| abstract_inverted_index.a | 91, 129, 138 |
| abstract_inverted_index.AR | 25, 115 |
| abstract_inverted_index.In | 62 |
| abstract_inverted_index.We | 158 |
| abstract_inverted_index.an | 32 |
| abstract_inverted_index.as | 118 |
| abstract_inverted_index.by | 11 |
| abstract_inverted_index.in | 39, 82, 109 |
| abstract_inverted_index.is | 27, 56 |
| abstract_inverted_index.of | 21, 149, 156, 165 |
| abstract_inverted_index.on | 23, 90 |
| abstract_inverted_index.to | 50, 127, 154, 173, 178 |
| abstract_inverted_index.we | 65 |
| abstract_inverted_index.and | 79, 100, 112, 124, 146 |
| abstract_inverted_index.are | 4, 102 |
| abstract_inverted_index.can | 36, 73 |
| abstract_inverted_index.due | 49 |
| abstract_inverted_index.eye | 98, 119 |
| abstract_inverted_index.for | 29, 106 |
| abstract_inverted_index.its | 47 |
| abstract_inverted_index.key | 92 |
| abstract_inverted_index.per | 168 |
| abstract_inverted_index.set | 5 |
| abstract_inverted_index.the | 12, 18, 44, 58, 68, 95, 171 |
| abstract_inverted_index.(AR) | 2 |
| abstract_inverted_index.52.6 | 166 |
| abstract_inverted_index.data | 53, 81, 177 |
| abstract_inverted_index.from | 7 |
| abstract_inverted_index.gaze | 99, 120 |
| abstract_inverted_index.need | 172 |
| abstract_inverted_index.only | 85 |
| abstract_inverted_index.rate | 132 |
| abstract_inverted_index.such | 31, 117 |
| abstract_inverted_index.that | 72, 94 |
| abstract_inverted_index.they | 15, 35 |
| abstract_inverted_index.this | 63, 160 |
| abstract_inverted_index.use) | 48 |
| abstract_inverted_index.user | 140 |
| abstract_inverted_index.with | 84, 161 |
| abstract_inverted_index.While | 17 |
| abstract_inverted_index.apart | 6 |
| abstract_inverted_index.first | 69 |
| abstract_inverted_index.frame | 131, 163 |
| abstract_inverted_index.novel | 114 |
| abstract_inverted_index.other | 8 |
| abstract_inverted_index.rates | 164 |
| abstract_inverted_index.suite | 20 |
| abstract_inverted_index.those | 42 |
| abstract_inverted_index.voice | 101 |
| abstract_inverted_index.which | 55 |
| abstract_inverted_index.while | 151 |
| abstract_inverted_index.(i.e., | 41 |
| abstract_inverted_index.96.27% | 155 |
| abstract_inverted_index.98.14% | 148 |
| abstract_inverted_index.access | 153 |
| abstract_inverted_index.builds | 89 |
| abstract_inverted_index.called | 57 |
| abstract_inverted_index.create | 37 |
| abstract_inverted_index.depth) | 80 |
| abstract_inverted_index.device | 45, 96 |
| abstract_inverted_index.during | 46 |
| abstract_inverted_index.frames | 167 |
| abstract_inverted_index.highly | 103 |
| abstract_inverted_index.leaks, | 54 |
| abstract_inverted_index.mobile | 9 |
| abstract_inverted_index.modern | 24 |
| abstract_inverted_index.offer. | 16 |
| abstract_inverted_index.second | 169 |
| abstract_inverted_index.system | 71 |
| abstract_inverted_index.unease | 38 |
| abstract_inverted_index.usable | 130 |
| abstract_inverted_index.visual | 77 |
| abstract_inverted_index.(camera | 78 |
| abstract_inverted_index.Reality | 1 |
| abstract_inverted_index.Through | 137 |
| abstract_inverted_index.achieve | 128 |
| abstract_inverted_index.another | 179 |
| abstract_inverted_index.average | 162 |
| abstract_inverted_index.device. | 180 |
| abstract_inverted_index.devices | 3, 10, 26 |
| abstract_inverted_index.insight | 93 |
| abstract_inverted_index.offload | 174 |
| abstract_inverted_index.poster, | 64 |
| abstract_inverted_index.privacy | 60 |
| abstract_inverted_index.propose | 66 |
| abstract_inverted_index.protect | 75 |
| abstract_inverted_index.sensors | 22 |
| abstract_inverted_index.spatial | 125 |
| abstract_inverted_index.without | 133, 170 |
| abstract_inverted_index.allowing | 152 |
| abstract_inverted_index.enabling | 30 |
| abstract_inverted_index.powerful | 19 |
| abstract_inverted_index.problem. | 61 |
| abstract_inverted_index.protects | 147 |
| abstract_inverted_index.showthat | 142 |
| abstract_inverted_index.study,we | 141 |
| abstract_inverted_index.user’s | 97 |
| abstract_inverted_index.Augmented | 0 |
| abstract_inverted_index.BystandAR | 88, 143 |
| abstract_inverted_index.awareness | 126 |
| abstract_inverted_index.bystander | 52, 59, 76, 176 |
| abstract_inverted_index.correctly | 144 |
| abstract_inverted_index.detection | 108 |
| abstract_inverted_index.effective | 104 |
| abstract_inverted_index.immersive | 13, 33 |
| abstract_inverted_index.leverages | 113 |
| abstract_inverted_index.necessary | 28 |
| abstract_inverted_index.on-device | 86 |
| abstract_inverted_index.potential | 51 |
| abstract_inverted_index.practical | 70 |
| abstract_inverted_index.real-time | 83 |
| abstract_inverted_index.sensitive | 135 |
| abstract_inverted_index.subjects. | 157 |
| abstract_inverted_index.tracking, | 121 |
| abstract_inverted_index.BystandAR, | 67 |
| abstract_inverted_index.accomplish | 159 |
| abstract_inverted_index.bystanders | 40, 150 |
| abstract_inverted_index.experience | 14 |
| abstract_inverted_index.identifies | 145 |
| abstract_inverted_index.indicators | 105 |
| abstract_inverted_index.offloading | 134 |
| abstract_inverted_index.effectively | 74 |
| abstract_inverted_index.experience, | 34 |
| abstract_inverted_index.microphone, | 123 |
| abstract_inverted_index.processing. | 87 |
| abstract_inverted_index.surrounding | 43 |
| abstract_inverted_index.unprotected | 175 |
| abstract_inverted_index.capabilities | 116 |
| abstract_inverted_index.information. | 136 |
| abstract_inverted_index.interaction, | 111 |
| abstract_inverted_index.interpersonal | 110 |
| abstract_inverted_index.16-participant | 139 |
| abstract_inverted_index.wearer-focused | 122 |
| abstract_inverted_index.subject/bystander | 107 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/16 |
| sustainable_development_goals[0].score | 0.8199999928474426 |
| sustainable_development_goals[0].display_name | Peace, Justice and strong institutions |
| citation_normalized_percentile.value | 0.66487666 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |