{"id":"https://openalex.org/W4388623209","doi":"https://doi.org/10.1109/ro-man57019.2023.10309526","title":"Show Me What To Pick: Pointing Versus Spatial Gestures for Conveying Intent","display_name":"Show Me What To Pick: Pointing Versus Spatial Gestures for Conveying Intent","publication_year":2023,"publication_date":"2023-08-28","ids":{"openalex":"https://openalex.org/W4388623209","doi":"https://doi.org/10.1109/ro-man57019.2023.10309526"},"language":"en","primary_location":{"id":"doi:10.1109/ro-man57019.2023.10309526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ro-man57019.2023.10309526","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034672129","display_name":"Vidullan Surendran","orcid":"https://orcid.org/0000-0002-9951-3513"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vidullan Surendran","raw_affiliation_strings":["Pennsylvania State University,Department of Aerospace Engineering,University Park,PA,USA,16802"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pennsylvania State University,Department of Aerospace Engineering,University Park,PA,USA,16802","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045198429","display_name":"Alan R. Wagner","orcid":"https://orcid.org/0000-0002-7941-3814"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alan R. Wagner","raw_affiliation_strings":["Pennsylvania State University,Department of Aerospace Engineering,University Park,PA,USA,16802"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pennsylvania State University,Department of Aerospace Engineering,University Park,PA,USA,16802","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":0.3271,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.5808302,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"77","last_page":"84"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10653","display_name":"Robot Manipulation and Learning","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10914","display_name":"Tactile and Sensory Interactions","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.9373241066932678},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7655657529830933},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7229077219963074},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5889449715614319},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5738272070884705},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.5128660202026367},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.5012640953063965},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4572235941886902},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.448317289352417},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07889002561569214}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.9373241066932678},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7655657529830933},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7229077219963074},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5889449715614319},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5738272070884705},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.5128660202026367},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5012640953063965},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4572235941886902},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.448317289352417},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07889002561569214},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ro-man57019.2023.10309526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ro-man57019.2023.10309526","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1481103847","https://openalex.org/W2038736078","https://openalex.org/W2040433077","https://openalex.org/W2084098959","https://openalex.org/W2106979486","https://openalex.org/W2110280344","https://openalex.org/W2111859378","https://openalex.org/W2128274263","https://openalex.org/W2134230037","https://openalex.org/W2164598857","https://openalex.org/W2220084042","https://openalex.org/W2293474797","https://openalex.org/W2537616048","https://openalex.org/W2562583785","https://openalex.org/W2910779592","https://openalex.org/W2964781572","https://openalex.org/W3084387688","https://openalex.org/W3133914500","https://openalex.org/W3206523779","https://openalex.org/W4205438624","https://openalex.org/W4220789069","https://openalex.org/W4286582033","https://openalex.org/W4287755748","https://openalex.org/W4298127989","https://openalex.org/W4366829313","https://openalex.org/W6779739588"],"related_works":["https://openalex.org/W2066003895","https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W2010878661","https://openalex.org/W3147379364","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731","https://openalex.org/W2989699735"],"abstract_inverted_index":{"Gestures":[0],"are":[1,75,105],"a":[2,95,121,128,145,175],"convenient":[3],"modality":[4],"of":[5,48,61,83,126,168,192],"conveying":[6,63],"human":[7,96],"intent":[8],"in":[9,20,39,50,80],"collaborative":[10],"human-robot":[11],"tasks,":[12],"and":[13,37,134,159],"the":[14,30,40,46,54,59,70,81,84,101,116,131,169,190,193],"pointing":[15,71,132,170,194],"gesture":[16,72,171],"is":[17,25,197],"commonly":[18],"used":[19,107],"pick-and-place":[21],"tasks.":[22],"But,":[23],"it":[24],"hard":[26],"to":[27,33,43,52,69,88,172],"accurately":[28],"detect":[29],"location":[31,86,195],"pointed":[32,87],"with":[34,111,174],"stereo":[35],"cameras,":[36],"experiments":[38],"literature":[41],"tend":[42],"space":[44],"out":[45],"objects":[47,74],"interest":[49],"order":[51],"make":[53],"task":[55,91],"easier.":[56],"We":[57],"propose":[58,104],"use":[60],"gestures":[62,102,138,166],"spatial":[64,85,137,165],"directions":[65],"as":[66],"an":[67,140],"alternative":[68],"when":[73,114,163,189],"closely":[76],"packed,":[77],"since":[78],"inaccuracies":[79],"detection":[82,196],"can":[89],"increase":[90],"completion":[92],"difficulty.":[93],"Using":[94,144],"study,":[97],"we":[98,103,119,149,179],"confirmed":[99],"that":[100,154,183],"naturally":[106],"by":[108],"humans":[109,113],"collaborating":[110],"other":[112],"performing":[115],"task.":[117],"Then,":[118],"develop":[120],"computer":[122],"vision":[123],"pipeline":[124],"capable":[125],"generating":[127],"vector":[129],"representing":[130],"direction,":[133],"detecting":[135],"specific":[136],"from":[139],"RGB-D":[141],"video":[142],"stream.":[143],"self":[146],"report":[147,156],"survey,":[148],"show":[150,180],"statistically":[151],"significant":[152],"evidence":[153,182],"subjects":[155],"higher":[157],"satisfaction":[158],"better":[160],"team":[161],"performance":[162],"using":[164],"instead":[167],"communicate":[173],"robotic":[176],"teammate.":[177],"Finally,":[178],"preliminary":[181],"this":[184],"trend":[185],"holds":[186],"true":[187],"even":[188],"accuracy":[191],"artificially":[198],"inflated.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
