Damage Optimization in Video Games: A Player-Driven Co-Creative Approach Article Swipe
Johannes Pfau
,
M. Charan
,
Erica Kleinman
,
Magy Seif El‐Nasr
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1145/3613904.3642643
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1145/3613904.3642643
The concept of dealing damage is established and widespread in video games. With growing complexity and countless interactions in modern games, capturing how damage unfolds becomes an intricate problem - for developers just as for players. Misunderstanding how to optimize damage potentials includes risks of game imbalances, game-breaking exploits, mismatches between player skill and challenge (harming flow), and impaired perceived competence. All of these considerably impact player experience, game reception, success, and retention, yet polishing optimal strategies remains often a player community effort. To accelerate, inform and ease this process, we implemented an interactive tool capable of simulating, visualizing, planning and comparing damage strategies in video games. Following a case study within the Guild Wars 2 community, we contribute a player-driven perspective on the problem of damage optimization, as well as an artifact that resulted in empirical improvements – advancing the fields of game analytics, game evaluation methods and self-regulated learning.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1145/3613904.3642643
- https://dl.acm.org/doi/pdf/10.1145/3613904.3642643
- OA Status
- gold
- Cited By
- 6
- References
- 77
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4396833173
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4396833173Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1145/3613904.3642643Digital Object Identifier
- Title
-
Damage Optimization in Video Games: A Player-Driven Co-Creative ApproachWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-05-11Full publication date if available
- Authors
-
Johannes Pfau, M. Charan, Erica Kleinman, Magy Seif El‐NasrList of authors in order
- Landing page
-
https://doi.org/10.1145/3613904.3642643Publisher landing page
- PDF URL
-
https://dl.acm.org/doi/pdf/10.1145/3613904.3642643Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://dl.acm.org/doi/pdf/10.1145/3613904.3642643Direct OA link when available
- Concepts
-
Computer science, Video game, Exploit, Game design, Analytics, Human–computer interaction, Game Developer, Game mechanics, Artifact (error), Multimedia, Data science, Artificial intelligence, Computer securityTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 5Per-year citation counts (last 5 years)
- References (count)
-
77Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4396833173 |
|---|---|
| doi | https://doi.org/10.1145/3613904.3642643 |
| ids.doi | https://doi.org/10.1145/3613904.3642643 |
| ids.openalex | https://openalex.org/W4396833173 |
| fwci | 12.57589052 |
| type | article |
| title | Damage Optimization in Video Games: A Player-Driven Co-Creative Approach |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | 16 |
| biblio.first_page | 1 |
| topics[0].id | https://openalex.org/T11197 |
| topics[0].field.id | https://openalex.org/fields/33 |
| topics[0].field.display_name | Social Sciences |
| topics[0].score | 0.9997000098228455 |
| topics[0].domain.id | https://openalex.org/domains/2 |
| topics[0].domain.display_name | Social Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/3312 |
| topics[0].subfield.display_name | Sociology and Political Science |
| topics[0].display_name | Digital Games and Media |
| topics[1].id | https://openalex.org/T10731 |
| topics[1].field.id | https://openalex.org/fields/32 |
| topics[1].field.display_name | Psychology |
| topics[1].score | 0.9990000128746033 |
| topics[1].domain.id | https://openalex.org/domains/2 |
| topics[1].domain.display_name | Social Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/3204 |
| topics[1].subfield.display_name | Developmental and Educational Psychology |
| topics[1].display_name | Educational Games and Gamification |
| topics[2].id | https://openalex.org/T11574 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.998199999332428 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1702 |
| topics[2].subfield.display_name | Artificial Intelligence |
| topics[2].display_name | Artificial Intelligence in Games |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C41008148 |
| concepts[0].level | 0 |
| concepts[0].score | 0.7481138706207275 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[0].display_name | Computer science |
| concepts[1].id | https://openalex.org/C3018412434 |
| concepts[1].level | 2 |
| concepts[1].score | 0.5934171676635742 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q7889 |
| concepts[1].display_name | Video game |
| concepts[2].id | https://openalex.org/C165696696 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5520053505897522 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q11287 |
| concepts[2].display_name | Exploit |
| concepts[3].id | https://openalex.org/C503285160 |
| concepts[3].level | 2 |
| concepts[3].score | 0.48321259021759033 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q858057 |
| concepts[3].display_name | Game design |
| concepts[4].id | https://openalex.org/C79158427 |
| concepts[4].level | 2 |
| concepts[4].score | 0.46475401520729065 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q485396 |
| concepts[4].display_name | Analytics |
| concepts[5].id | https://openalex.org/C107457646 |
| concepts[5].level | 1 |
| concepts[5].score | 0.4585644006729126 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q207434 |
| concepts[5].display_name | Human–computer interaction |
| concepts[6].id | https://openalex.org/C41826821 |
| concepts[6].level | 3 |
| concepts[6].score | 0.45531851053237915 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q844005 |
| concepts[6].display_name | Game Developer |
| concepts[7].id | https://openalex.org/C170828538 |
| concepts[7].level | 2 |
| concepts[7].score | 0.44934260845184326 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q1751513 |
| concepts[7].display_name | Game mechanics |
| concepts[8].id | https://openalex.org/C2779010991 |
| concepts[8].level | 2 |
| concepts[8].score | 0.44660359621047974 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q2720909 |
| concepts[8].display_name | Artifact (error) |
| concepts[9].id | https://openalex.org/C49774154 |
| concepts[9].level | 1 |
| concepts[9].score | 0.33848848938941956 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q131765 |
| concepts[9].display_name | Multimedia |
| concepts[10].id | https://openalex.org/C2522767166 |
| concepts[10].level | 1 |
| concepts[10].score | 0.29239004850387573 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q2374463 |
| concepts[10].display_name | Data science |
| concepts[11].id | https://openalex.org/C154945302 |
| concepts[11].level | 1 |
| concepts[11].score | 0.21512120962142944 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[11].display_name | Artificial intelligence |
| concepts[12].id | https://openalex.org/C38652104 |
| concepts[12].level | 1 |
| concepts[12].score | 0.15808609127998352 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q3510521 |
| concepts[12].display_name | Computer security |
| keywords[0].id | https://openalex.org/keywords/computer-science |
| keywords[0].score | 0.7481138706207275 |
| keywords[0].display_name | Computer science |
| keywords[1].id | https://openalex.org/keywords/video-game |
| keywords[1].score | 0.5934171676635742 |
| keywords[1].display_name | Video game |
| keywords[2].id | https://openalex.org/keywords/exploit |
| keywords[2].score | 0.5520053505897522 |
| keywords[2].display_name | Exploit |
| keywords[3].id | https://openalex.org/keywords/game-design |
| keywords[3].score | 0.48321259021759033 |
| keywords[3].display_name | Game design |
| keywords[4].id | https://openalex.org/keywords/analytics |
| keywords[4].score | 0.46475401520729065 |
| keywords[4].display_name | Analytics |
| keywords[5].id | https://openalex.org/keywords/human–computer-interaction |
| keywords[5].score | 0.4585644006729126 |
| keywords[5].display_name | Human–computer interaction |
| keywords[6].id | https://openalex.org/keywords/game-developer |
| keywords[6].score | 0.45531851053237915 |
| keywords[6].display_name | Game Developer |
| keywords[7].id | https://openalex.org/keywords/game-mechanics |
| keywords[7].score | 0.44934260845184326 |
| keywords[7].display_name | Game mechanics |
| keywords[8].id | https://openalex.org/keywords/artifact |
| keywords[8].score | 0.44660359621047974 |
| keywords[8].display_name | Artifact (error) |
| keywords[9].id | https://openalex.org/keywords/multimedia |
| keywords[9].score | 0.33848848938941956 |
| keywords[9].display_name | Multimedia |
| keywords[10].id | https://openalex.org/keywords/data-science |
| keywords[10].score | 0.29239004850387573 |
| keywords[10].display_name | Data science |
| keywords[11].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[11].score | 0.21512120962142944 |
| keywords[11].display_name | Artificial intelligence |
| keywords[12].id | https://openalex.org/keywords/computer-security |
| keywords[12].score | 0.15808609127998352 |
| keywords[12].display_name | Computer security |
| language | en |
| locations[0].id | doi:10.1145/3613904.3642643 |
| locations[0].is_oa | True |
| locations[0].source | |
| locations[0].license | |
| locations[0].pdf_url | https://dl.acm.org/doi/pdf/10.1145/3613904.3642643 |
| 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 CHI Conference on Human Factors in Computing Systems |
| locations[0].landing_page_url | https://doi.org/10.1145/3613904.3642643 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5087933735 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-8760-5023 |
| authorships[0].author.display_name | Johannes Pfau |
| authorships[0].countries | NL, US |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I185103710, https://openalex.org/I193662353 |
| authorships[0].affiliations[0].raw_affiliation_string | Utrecht University, Netherlands and Computational Media, University of California Santa Cruz, United States |
| authorships[0].institutions[0].id | https://openalex.org/I193662353 |
| authorships[0].institutions[0].ror | https://ror.org/04pp8hn57 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I193662353 |
| authorships[0].institutions[0].country_code | NL |
| authorships[0].institutions[0].display_name | Utrecht University |
| authorships[0].institutions[1].id | https://openalex.org/I185103710 |
| authorships[0].institutions[1].ror | https://ror.org/03s65by71 |
| authorships[0].institutions[1].type | education |
| authorships[0].institutions[1].lineage | https://openalex.org/I185103710 |
| authorships[0].institutions[1].country_code | US |
| authorships[0].institutions[1].display_name | University of California, Santa Cruz |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Johannes Pfau |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Utrecht University, Netherlands and Computational Media, University of California Santa Cruz, United States |
| authorships[1].author.id | https://openalex.org/A5048960341 |
| authorships[1].author.orcid | https://orcid.org/0009-0008-0321-4078 |
| authorships[1].author.display_name | M. Charan |
| authorships[1].affiliations[0].raw_affiliation_string | Independent Researcher, India |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Manik Charan |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Independent Researcher, India |
| authorships[2].author.id | https://openalex.org/A5012299025 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-6269-3848 |
| authorships[2].author.display_name | Erica Kleinman |
| authorships[2].countries | US |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I12912129, https://openalex.org/I185103710 |
| authorships[2].affiliations[0].raw_affiliation_string | Ghost Lab, Northeastern University, United States and Computational Media, UC Santa Cruz, United States |
| authorships[2].institutions[0].id | https://openalex.org/I12912129 |
| authorships[2].institutions[0].ror | https://ror.org/04t5xt781 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I12912129 |
| authorships[2].institutions[0].country_code | US |
| authorships[2].institutions[0].display_name | Northeastern University |
| authorships[2].institutions[1].id | https://openalex.org/I185103710 |
| authorships[2].institutions[1].ror | https://ror.org/03s65by71 |
| authorships[2].institutions[1].type | education |
| authorships[2].institutions[1].lineage | https://openalex.org/I185103710 |
| authorships[2].institutions[1].country_code | US |
| authorships[2].institutions[1].display_name | University of California, Santa Cruz |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Erica Kleinman |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Ghost Lab, Northeastern University, United States and Computational Media, UC Santa Cruz, United States |
| authorships[3].author.id | https://openalex.org/A5087676774 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-7808-1686 |
| authorships[3].author.display_name | Magy Seif El‐Nasr |
| authorships[3].countries | US |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I185103710 |
| authorships[3].affiliations[0].raw_affiliation_string | Computational Media, University of California, Santa Cruz, United States |
| authorships[3].institutions[0].id | https://openalex.org/I185103710 |
| authorships[3].institutions[0].ror | https://ror.org/03s65by71 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I185103710 |
| authorships[3].institutions[0].country_code | US |
| authorships[3].institutions[0].display_name | University of California, Santa Cruz |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | Magy Seif El-Nasr |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Computational Media, University of California, Santa Cruz, United States |
| has_content.pdf | True |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://dl.acm.org/doi/pdf/10.1145/3613904.3642643 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Damage Optimization in Video Games: A Player-Driven Co-Creative Approach |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11197 |
| primary_topic.field.id | https://openalex.org/fields/33 |
| primary_topic.field.display_name | Social Sciences |
| primary_topic.score | 0.9997000098228455 |
| primary_topic.domain.id | https://openalex.org/domains/2 |
| primary_topic.domain.display_name | Social Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/3312 |
| primary_topic.subfield.display_name | Sociology and Political Science |
| primary_topic.display_name | Digital Games and Media |
| related_works | https://openalex.org/W4207081595, https://openalex.org/W3158871916, https://openalex.org/W4231050501, https://openalex.org/W2061625644, https://openalex.org/W2488706709, https://openalex.org/W2533512318, https://openalex.org/W1583852935, https://openalex.org/W2130088927, https://openalex.org/W2996376398, https://openalex.org/W4295008850 |
| cited_by_count | 6 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 5 |
| locations_count | 1 |
| best_oa_location.id | doi:10.1145/3613904.3642643 |
| best_oa_location.is_oa | True |
| best_oa_location.source | |
| best_oa_location.license | |
| best_oa_location.pdf_url | https://dl.acm.org/doi/pdf/10.1145/3613904.3642643 |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | proceedings-article |
| best_oa_location.license_id | |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Proceedings of the CHI Conference on Human Factors in Computing Systems |
| best_oa_location.landing_page_url | https://doi.org/10.1145/3613904.3642643 |
| primary_location.id | doi:10.1145/3613904.3642643 |
| primary_location.is_oa | True |
| primary_location.source | |
| primary_location.license | |
| primary_location.pdf_url | https://dl.acm.org/doi/pdf/10.1145/3613904.3642643 |
| 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 CHI Conference on Human Factors in Computing Systems |
| primary_location.landing_page_url | https://doi.org/10.1145/3613904.3642643 |
| publication_date | 2024-05-11 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W2002803086, https://openalex.org/W2981837779, https://openalex.org/W1749523692, https://openalex.org/W2088344577, https://openalex.org/W2096363625, https://openalex.org/W2590230674, https://openalex.org/W3083573859, https://openalex.org/W4252615352, https://openalex.org/W4387410105, https://openalex.org/W2108631245, https://openalex.org/W2140496052, https://openalex.org/W2910871123, https://openalex.org/W2135926797, https://openalex.org/W2797258490, https://openalex.org/W2075830307, https://openalex.org/W3161790790, https://openalex.org/W2996368260, https://openalex.org/W2611228102, https://openalex.org/W2013363278, https://openalex.org/W2947458206, https://openalex.org/W3097755425, https://openalex.org/W2120950450, https://openalex.org/W4285066398, https://openalex.org/W2810602713, https://openalex.org/W4383469148, https://openalex.org/W2066675425, https://openalex.org/W167926177, https://openalex.org/W3004050073, https://openalex.org/W2038413296, https://openalex.org/W3088770142, https://openalex.org/W4253852082, https://openalex.org/W4224979719, https://openalex.org/W4312841718, https://openalex.org/W2015474346, https://openalex.org/W2038866473, https://openalex.org/W3092600108, https://openalex.org/W3169541690, https://openalex.org/W2505919685, https://openalex.org/W4389315343, https://openalex.org/W2013828695, https://openalex.org/W2226794967, https://openalex.org/W2145339207, https://openalex.org/W2031126568, https://openalex.org/W4234488793, https://openalex.org/W2614535584, https://openalex.org/W2564904255, https://openalex.org/W4400151743, https://openalex.org/W3093621925, https://openalex.org/W4366549634, https://openalex.org/W2898502855, https://openalex.org/W3025887383, https://openalex.org/W4385301065, https://openalex.org/W2897204280, https://openalex.org/W3033139834, https://openalex.org/W2796233093, https://openalex.org/W2014969765, https://openalex.org/W4300484403, https://openalex.org/W1979572685, https://openalex.org/W2896241128, https://openalex.org/W2021721272, https://openalex.org/W4389315226, https://openalex.org/W4308426654, https://openalex.org/W1551447511, https://openalex.org/W2107564662, https://openalex.org/W3021935667, https://openalex.org/W3082977079, https://openalex.org/W2982316857, https://openalex.org/W2941010912, https://openalex.org/W2014700278, https://openalex.org/W2530010729, https://openalex.org/W3160589153, https://openalex.org/W2941349959, https://openalex.org/W2074790166, https://openalex.org/W3161970973, https://openalex.org/W3103695590, https://openalex.org/W4389105047, https://openalex.org/W4231042348 |
| referenced_works_count | 77 |
| abstract_inverted_index.- | 29 |
| abstract_inverted_index.2 | 115 |
| abstract_inverted_index.a | 79, 108, 119 |
| abstract_inverted_index.To | 83 |
| abstract_inverted_index.an | 26, 92, 131 |
| abstract_inverted_index.as | 33, 128, 130 |
| abstract_inverted_index.in | 9, 18, 104, 135 |
| abstract_inverted_index.is | 5 |
| abstract_inverted_index.of | 2, 44, 62, 96, 125, 142 |
| abstract_inverted_index.on | 122 |
| abstract_inverted_index.to | 38 |
| abstract_inverted_index.we | 90, 117 |
| abstract_inverted_index.All | 61 |
| abstract_inverted_index.The | 0 |
| abstract_inverted_index.and | 7, 15, 53, 57, 71, 86, 100, 148 |
| abstract_inverted_index.for | 30, 34 |
| abstract_inverted_index.how | 22, 37 |
| abstract_inverted_index.the | 112, 123, 140 |
| abstract_inverted_index.yet | 73 |
| abstract_inverted_index.– | 138 |
| abstract_inverted_index.Wars | 114 |
| abstract_inverted_index.With | 12 |
| abstract_inverted_index.case | 109 |
| abstract_inverted_index.ease | 87 |
| abstract_inverted_index.game | 45, 68, 143, 145 |
| abstract_inverted_index.just | 32 |
| abstract_inverted_index.that | 133 |
| abstract_inverted_index.this | 88 |
| abstract_inverted_index.tool | 94 |
| abstract_inverted_index.well | 129 |
| abstract_inverted_index.Guild | 113 |
| abstract_inverted_index.often | 78 |
| abstract_inverted_index.risks | 43 |
| abstract_inverted_index.skill | 52 |
| abstract_inverted_index.study | 110 |
| abstract_inverted_index.these | 63 |
| abstract_inverted_index.video | 10, 105 |
| abstract_inverted_index.damage | 4, 23, 40, 102, 126 |
| abstract_inverted_index.fields | 141 |
| abstract_inverted_index.flow), | 56 |
| abstract_inverted_index.games, | 20 |
| abstract_inverted_index.games. | 11, 106 |
| abstract_inverted_index.impact | 65 |
| abstract_inverted_index.inform | 85 |
| abstract_inverted_index.modern | 19 |
| abstract_inverted_index.player | 51, 66, 80 |
| abstract_inverted_index.within | 111 |
| abstract_inverted_index.becomes | 25 |
| abstract_inverted_index.between | 50 |
| abstract_inverted_index.capable | 95 |
| abstract_inverted_index.concept | 1 |
| abstract_inverted_index.dealing | 3 |
| abstract_inverted_index.effort. | 82 |
| abstract_inverted_index.growing | 13 |
| abstract_inverted_index.methods | 147 |
| abstract_inverted_index.optimal | 75 |
| abstract_inverted_index.problem | 28, 124 |
| abstract_inverted_index.remains | 77 |
| abstract_inverted_index.unfolds | 24 |
| abstract_inverted_index.(harming | 55 |
| abstract_inverted_index.artifact | 132 |
| abstract_inverted_index.impaired | 58 |
| abstract_inverted_index.includes | 42 |
| abstract_inverted_index.optimize | 39 |
| abstract_inverted_index.planning | 99 |
| abstract_inverted_index.players. | 35 |
| abstract_inverted_index.process, | 89 |
| abstract_inverted_index.resulted | 134 |
| abstract_inverted_index.success, | 70 |
| abstract_inverted_index.Following | 107 |
| abstract_inverted_index.advancing | 139 |
| abstract_inverted_index.capturing | 21 |
| abstract_inverted_index.challenge | 54 |
| abstract_inverted_index.community | 81 |
| abstract_inverted_index.comparing | 101 |
| abstract_inverted_index.countless | 16 |
| abstract_inverted_index.empirical | 136 |
| abstract_inverted_index.exploits, | 48 |
| abstract_inverted_index.intricate | 27 |
| abstract_inverted_index.learning. | 150 |
| abstract_inverted_index.perceived | 59 |
| abstract_inverted_index.polishing | 74 |
| abstract_inverted_index.analytics, | 144 |
| abstract_inverted_index.community, | 116 |
| abstract_inverted_index.complexity | 14 |
| abstract_inverted_index.contribute | 118 |
| abstract_inverted_index.developers | 31 |
| abstract_inverted_index.evaluation | 146 |
| abstract_inverted_index.mismatches | 49 |
| abstract_inverted_index.potentials | 41 |
| abstract_inverted_index.reception, | 69 |
| abstract_inverted_index.retention, | 72 |
| abstract_inverted_index.strategies | 76, 103 |
| abstract_inverted_index.widespread | 8 |
| abstract_inverted_index.accelerate, | 84 |
| abstract_inverted_index.competence. | 60 |
| abstract_inverted_index.established | 6 |
| abstract_inverted_index.experience, | 67 |
| abstract_inverted_index.imbalances, | 46 |
| abstract_inverted_index.implemented | 91 |
| abstract_inverted_index.interactive | 93 |
| abstract_inverted_index.perspective | 121 |
| abstract_inverted_index.simulating, | 97 |
| abstract_inverted_index.considerably | 64 |
| abstract_inverted_index.improvements | 137 |
| abstract_inverted_index.interactions | 17 |
| abstract_inverted_index.visualizing, | 98 |
| abstract_inverted_index.game-breaking | 47 |
| abstract_inverted_index.optimization, | 127 |
| abstract_inverted_index.player-driven | 120 |
| abstract_inverted_index.self-regulated | 149 |
| abstract_inverted_index.Misunderstanding | 36 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/16 |
| sustainable_development_goals[0].score | 0.4099999964237213 |
| sustainable_development_goals[0].display_name | Peace, Justice and strong institutions |
| citation_normalized_percentile.value | 0.97252134 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |