{"id":"https://openalex.org/W4297156892","doi":"https://doi.org/10.1145/3546155.3547288","title":"Suspicious Behavior","display_name":"Suspicious Behavior","publication_year":2022,"publication_date":"2022-09-26","ids":{"openalex":"https://openalex.org/W4297156892","doi":"https://doi.org/10.1145/3546155.3547288"},"language":"en","primary_location":{"id":"doi:10.1145/3546155.3547288","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3546155.3547288","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3546155.3547288","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Nordic Human-Computer Interaction Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3546155.3547288","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054758398","display_name":"Linda Kronman","orcid":"https://orcid.org/0000-0001-7699-4505"},"institutions":[{"id":"https://openalex.org/I4432739","display_name":"University of Bergen","ror":"https://ror.org/03zga2b32","country_code":"NO","type":"education","lineage":["https://openalex.org/I4432739"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Linda Kronman","raw_affiliation_strings":["University of Bergen, Norway"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Bergen, Norway","institution_ids":["https://openalex.org/I4432739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055414916","display_name":"Andreas Zingerle","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andreas Zingerle","raw_affiliation_strings":["Kairus Art+Research, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kairus Art+Research, Austria","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2824,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.48885168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.974399983882904,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5167081356048584}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5167081356048584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3546155.3547288","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3546155.3547288","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3546155.3547288","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Nordic Human-Computer Interaction Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3546155.3547288","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3546155.3547288","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3546155.3547288","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Nordic Human-Computer Interaction Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6207669381","display_name":"Machine Vision in Everyday Life: Playful Interactions with Visual Technologies in Digital Art, Games, Narratives and Social Media","funder_award_id":"771800","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320323078","display_name":"Universitetet i Bergen","ror":"https://ror.org/03zga2b32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4297156892.pdf","grobid_xml":"https://content.openalex.org/works/W4297156892.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W2142996775","https://openalex.org/W2941486823","https://openalex.org/W2962711930","https://openalex.org/W3098156371","https://openalex.org/W4293918026","https://openalex.org/W6600611851","https://openalex.org/W6837775153"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"Suspicious":[0],"Behavior":[1],"is":[2,73,80],"a":[3],"fictional":[4],"annotation":[5,26,99],"tutorial":[6,70],"inviting":[7],"readers":[8],"to":[9,81],"critically":[10],"examine":[11],"machine":[12],"learning":[13],"datasets":[14],"assembled":[15],"for":[16,96],"anomaly":[17],"detection":[18],"in":[19,49,55,85],"surveillance":[20],"footage":[21],"(Figure":[22,52],"1).":[23],"Mimicking":[24],"existing":[25],"interfaces":[27],"[11]":[28],"and":[29,45,64,104],"practices":[30],"[12]":[31],"the":[32,39,56,69,89,92],"tutorial,":[33],"although":[34],"fictive,":[35],"provides":[36],"insight":[37],"into":[38],"hidden":[40],"work":[41],"of":[42,58,68],"crowdsourced":[43],"labor":[44],"how":[46],"annotators":[47],"engage":[48],"decision":[50],"making":[51],"2).":[53],"Readers":[54],"role":[57],"annotator-trainees,":[59],"advance":[60],"through":[61],"an":[62,97],"introduction":[63],"three":[65],"\u2018advanced":[66],"modules\u2019":[67],"performing":[71],"what":[72],"called":[74],"\u2018Human":[75],"Intelligence":[76],"Tasks.\u2019":[77],"The":[78],"assignment":[79],"spot":[82],"suspicious":[83],"behavior":[84],"video":[86],"segments.":[87],"Throughout":[88],"interactive":[90],"story":[91],"reader":[93],"gets":[94],"trained":[95],"optimized":[98],"workflow,":[100],"balancing":[101],"between":[102],"accuracy":[103],"efficiency.":[105]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}