Via audiovisual communications and a controllable physical embodiment, Mobile Robotic telePresence (MRP) systems aim to support enhanced collaboration between remote and local members of a given setting. But MRP systems also put the remote user in positions where they frequently rely on the help of local partners. Getting or \u2018recruiting\u2019 such help can be done with various verbal and embodied actions ranging in explicitness. In this paper, we look at how such recruitment occurs in video data drawn from an experiment where pairs of participants (one local, one remote) performed a timed searching task. We find a prevalence of implicit recruitment methods and outline obstacles to effective recruitment that emerge due to communicative asymmetries that are built into MRP design. In a future where remote work becomes widespread, assistance through remote work technology like MRPs needs close examination at a fundamental interactional level, taking into account how communicative asymmetries are at play in everyday use of such technologies.<\/p>\n","protected":false},"excerpt":{"rendered":"
Via audiovisual communications and a controllable physical embodiment, Mobile Robotic telePresence (MRP) systems aim to support enhanced collaboration between remote and local members of a given setting. But MRP systems also put the remote user in positions where they frequently rely on the help of local partners. Getting or \u2018recruiting\u2019 such help can be done […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[246574],"research-area":[13554,13559],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-697267","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-highlight-award","msr-research-area-human-computer-interaction","msr-research-area-social-sciences","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2020-8-1","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"ACM","msr_how_published":"","msr_notes":"","msr_highlight_text":"Honorable Mention","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/10\/2020-MRPRecruitingAssistance_R.pdf","id":"698137","title":"2020-mrprecruitingassistance_r","label_id":"243132","label":0},{"type":"doi","viewUrl":"false","id":"false","title":"https:\/\/dl.acm.org\/doi\/10.1145\/3432947","label_id":"243106","label":0}],"msr_related_uploader":"","msr_attachments":[{"id":698137,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/10\/2020-MRPRecruitingAssistance_R.pdf"},{"id":697270,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2020\/10\/2020-MRPRecruitingAssistance.pdf"}],"msr-author-ordering":[{"type":"text","value":"Andriana Boudouraki","user_id":0,"rest_url":false},{"type":"text","value":"Joel E. 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