{"id":"https://openalex.org/W3094462703","doi":"https://doi.org/10.1109/ro-man47096.2020.9223544","title":"Would you Take Advice from a Robot? Developing a Framework for Inferring Human-Robot Trust in Time-Sensitive Scenarios","display_name":"Would you Take Advice from a Robot? Developing a Framework for Inferring Human-Robot Trust in Time-Sensitive Scenarios","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3094462703","doi":"https://doi.org/10.1109/ro-man47096.2020.9223544","mag":"3094462703"},"language":"en","primary_location":{"id":"doi:10.1109/ro-man47096.2020.9223544","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ro-man47096.2020.9223544","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 29th 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/A5029470370","display_name":"Jin Xu","orcid":"https://orcid.org/0000-0001-9193-7648"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jin Xu","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038825611","display_name":"Ayanna Howard","orcid":"https://orcid.org/0000-0003-2609-9371"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ayanna Howard","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5029470370"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":0.2155,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61683702,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"814","last_page":"820"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10042","display_name":"Neural and Behavioral Psychology Studies","score":0.9922000169754028,"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"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9894999861717224,"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/robot","display_name":"Robot","score":0.785128116607666},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7310190200805664},{"id":"https://openalex.org/keywords/advice","display_name":"Advice (programming)","score":0.6784114241600037},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.631727397441864},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6080223321914673},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5429989099502563},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.49766114354133606},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.44821611046791077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4464779794216156},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.43528982996940613},{"id":"https://openalex.org/keywords/behavior-based-robotics","display_name":"Behavior-based robotics","score":0.41827499866485596},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3920697271823883},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.2840363383293152},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.16033121943473816},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0938071608543396}],"concepts":[{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.785128116607666},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7310190200805664},{"id":"https://openalex.org/C2779955035","wikidata":"https://www.wikidata.org/wiki/Q4686785","display_name":"Advice (programming)","level":2,"score":0.6784114241600037},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.631727397441864},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6080223321914673},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5429989099502563},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.49766114354133606},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.44821611046791077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4464779794216156},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.43528982996940613},{"id":"https://openalex.org/C19766214","wikidata":"https://www.wikidata.org/wiki/Q4880688","display_name":"Behavior-based robotics","level":4,"score":0.41827499866485596},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3920697271823883},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.2840363383293152},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.16033121943473816},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0938071608543396},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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-man47096.2020.9223544","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ro-man47096.2020.9223544","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2007567868","https://openalex.org/W2020785866","https://openalex.org/W2025900903","https://openalex.org/W2038041609","https://openalex.org/W2070177757","https://openalex.org/W2121226869","https://openalex.org/W2125838338","https://openalex.org/W2312518867","https://openalex.org/W2477771363","https://openalex.org/W2623779865","https://openalex.org/W2783036728","https://openalex.org/W2794173885","https://openalex.org/W2796672016","https://openalex.org/W2899803801","https://openalex.org/W2964132611","https://openalex.org/W2965575078","https://openalex.org/W4231751901","https://openalex.org/W4254148040"],"related_works":["https://openalex.org/W4388430323","https://openalex.org/W4377866454","https://openalex.org/W2899634227","https://openalex.org/W4312401709","https://openalex.org/W2038689900","https://openalex.org/W2904082778","https://openalex.org/W2111737720","https://openalex.org/W3097632046","https://openalex.org/W2908944153","https://openalex.org/W2009362887"],"abstract_inverted_index":{"Trust":[0],"is":[1,15,76,91],"a":[2,22,33,47,59,99,108,118,176],"key":[3],"element":[4],"for":[5,35,209],"successful":[6],"human-robot":[7,37,63],"interaction.":[8],"One":[9],"challenging":[10],"problem":[11],"in":[12,87,106,117,145],"this":[13,27,54,181,188],"domain":[14],"the":[16,42,89,93,115,136,147,152,162,173,200,205],"issue":[17],"of":[18,62,128,180],"how":[19],"to":[20,95,111,142,156,193],"construct":[21],"formulation":[23,48,138],"that":[24,107,135,167,187],"optimally":[25],"models":[26],"trust":[28,38,51,64],"phenomenon.":[29],"This":[30],"paper":[31],"presents":[32],"framework":[34],"modeling":[36],"based":[39,49,65],"on":[40,50,66,78,183],"representing":[41],"human":[43,84,90,116,153],"decision-making":[44],"process":[45],"as":[46,197,199],"states.":[52],"Using":[53],"formulation,":[55],"we":[56],"then":[57],"discuss":[58],"generalized":[60],"model":[61,143,189],"Hidden":[67],"Markov":[68],"Models":[69],"and":[70],"Logistic":[71],"Regression.":[72],"The":[73,131,178],"proposed":[74,137,206],"approach":[75,182],"validated":[77],"datasets":[79],"collected":[80],"from":[81,98,161],"two":[82,184],"different":[83,126],"subject":[85],"studies":[86],"which":[88,146],"provided":[92],"ability":[94],"take":[96,157],"advice":[97,158],"robot.":[100,163],"Both":[101],"experimental":[102,132],"scenarios":[103,185,196],"were":[104],"time-sensitive,":[105],"decision":[109],"had":[110],"be":[112,140,191],"made":[113,175],"by":[114],"limited":[119],"time":[120],"period,":[121],"but":[122],"each":[123],"scenario":[124],"featured":[125],"levels":[127],"cognitive":[129],"load.":[130],"results":[133],"demonstrate":[134],"can":[139,149,190],"utilized":[141],"trust,":[144],"system":[148],"predict":[150],"whether":[151],"will":[154],"decide":[155],"(or":[159],"not)":[160],"It":[164],"was":[165],"found":[166],"our":[168],"prediction":[169],"performance":[170],"degrades":[171],"after":[172],"robot":[174],"mistake.":[177],"validation":[179],"implies":[186],"applied":[192],"other":[194],"interactive":[195],"long":[198],"interaction":[201],"dynamics":[202],"fits":[203],"into":[204],"formulation.":[207],"Directions":[208],"future":[210],"improvements":[211],"are":[212],"discussed.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}