{"id":"https://openalex.org/W3094212965","doi":"https://doi.org/10.1109/ro-man47096.2020.9223545","title":"A Tale of Two Suggestions: Action and Diagnosis Recommendations for Responding to Robot Failure","display_name":"A Tale of Two Suggestions: Action and Diagnosis Recommendations for Responding to Robot Failure","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3094212965","doi":"https://doi.org/10.1109/ro-man47096.2020.9223545","mag":"3094212965"},"language":"en","primary_location":{"id":"doi:10.1109/ro-man47096.2020.9223545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ro-man47096.2020.9223545","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":"conference-paper","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/A5103247567","display_name":"Siddhartha Banerjee","orcid":"https://orcid.org/0000-0001-5353-4522"},"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":"Siddhartha Banerjee","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008211323","display_name":"Matthew Gombolay","orcid":"https://orcid.org/0000-0002-5321-6038"},"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":"Matthew Gombolay","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033265891","display_name":"Sonia Chernova","orcid":"https://orcid.org/0000-0001-6320-0825"},"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":"Sonia Chernova","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":1.1891,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.77746193,"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":"398","last_page":"405"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T12128","display_name":"AI in Service Interactions","score":0.9983000159263611,"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/T10525","display_name":"Human-Automation Interaction and Safety","score":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.7631065845489502},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.6987160444259644},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6912714242935181},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5483759045600891},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.530991792678833},{"id":"https://openalex.org/keywords/human-error","display_name":"Human error","score":0.46015480160713196},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.43572989106178284},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4069729447364807},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.361211359500885},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.320171058177948},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.15535596013069153},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13999155163764954},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07393887639045715}],"concepts":[{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.7631065845489502},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.6987160444259644},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6912714242935181},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5483759045600891},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.530991792678833},{"id":"https://openalex.org/C169806903","wikidata":"https://www.wikidata.org/wiki/Q5937752","display_name":"Human error","level":2,"score":0.46015480160713196},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.43572989106178284},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4069729447364807},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.361211359500885},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.320171058177948},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.15535596013069153},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13999155163764954},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07393887639045715},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ro-man47096.2020.9223545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ro-man47096.2020.9223545","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":0.7799999713897705,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W4683893","https://openalex.org/W19399978","https://openalex.org/W1697372989","https://openalex.org/W1969897050","https://openalex.org/W1993857922","https://openalex.org/W1995641496","https://openalex.org/W1998404584","https://openalex.org/W2095306143","https://openalex.org/W2099184899","https://openalex.org/W2099291478","https://openalex.org/W2101876245","https://openalex.org/W2103530214","https://openalex.org/W2116298968","https://openalex.org/W2122219027","https://openalex.org/W2169549255","https://openalex.org/W2203714058","https://openalex.org/W2272645513","https://openalex.org/W2395207380","https://openalex.org/W2554915684","https://openalex.org/W2558644883","https://openalex.org/W2577537660","https://openalex.org/W2586616796","https://openalex.org/W2606126819","https://openalex.org/W2613049552","https://openalex.org/W2801776818","https://openalex.org/W2808048733","https://openalex.org/W2891054364","https://openalex.org/W2950845588","https://openalex.org/W2953027140","https://openalex.org/W2962758893","https://openalex.org/W2965326432","https://openalex.org/W2996229661","https://openalex.org/W3004235515","https://openalex.org/W3009894005","https://openalex.org/W3123421154","https://openalex.org/W4242863818","https://openalex.org/W6600192709","https://openalex.org/W6637583005","https://openalex.org/W6712379494","https://openalex.org/W6754654578"],"related_works":["https://openalex.org/W2286391053","https://openalex.org/W2982600058","https://openalex.org/W1963486701","https://openalex.org/W2312483540","https://openalex.org/W4249477090","https://openalex.org/W191745111","https://openalex.org/W1522083559","https://openalex.org/W2007570603","https://openalex.org/W2808224918","https://openalex.org/W2773679836"],"abstract_inverted_index":{"Robots":[0],"operating":[1],"without":[2],"close":[3],"human":[4,48],"supervision":[5],"might":[6],"need":[7],"to":[8,46,63,77],"rely":[9],"on":[10,59,90],"a":[11,23,52,87],"remote":[12],"call":[13],"center":[14],"of":[15,22,32,67,106],"operators":[16],"for":[17,122],"assistance":[18],"in":[19],"the":[20,30,47,65,98,103],"event":[21],"failure.":[24],"In":[25],"this":[26],"work,":[27],"we":[28,109],"investigate":[29],"effects":[31,66,105],"providing":[33,68],"decision":[34],"support":[35],"through":[36],"diagnosis":[37,72,95,118],"suggestions,":[38],"as":[39,44],"feedback,":[40],"and":[41,70,119],"action":[42,75,83,120],"recommendations,":[43],"feedforward,":[45],"operators.":[49,78],"We":[50,79],"conduct":[51],"10-condition":[53],"user":[54],"study":[55],"involving":[56],"200":[57],"participants":[58],"Amazon":[60],"Mechanical":[61],"Turk":[62],"evaluate":[64],"noisy":[69],"noise-free":[71],"suggestions":[73],"and/or":[74],"recommendations":[76,84,121],"find":[80,110],"that":[81,111],"although":[82],"(feedforward)":[85],"have":[86],"greater":[88],"effect":[89],"successful":[91],"error":[92,112],"resolution":[93],"than":[94],"information":[96],"(feedback),":[97],"feedback":[99],"likely":[100],"helps":[101],"ameliorate":[102],"deleterious":[104],"noise.":[107],"Therefore,":[108],"recovery":[113],"interfaces":[114],"should":[115],"display":[116],"both":[117],"maximum":[123],"effectiveness.":[124]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
