{"id":390614,"date":"2017-06-15T04:48:41","date_gmt":"2017-06-15T11:48:41","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=390614"},"modified":"2018-10-16T19:57:23","modified_gmt":"2018-10-17T02:57:23","slug":"sociality-tempo-flow-learning-namibian-ride-sharing","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/sociality-tempo-flow-learning-namibian-ride-sharing\/","title":{"rendered":"Sociality, Tempo & Flow: Learning from Namibian Ride-sharing"},"content":{"rendered":"
Ridesharing has become a hot topic in research and in the media, largely because of the recent rise of platforms like Lyft and Uber. Yet shared taxis and paratransit services have played central roles in many African countries\u2019 transport systems for years. We conducted an ethnographic study of shared taxis in Windhoek, Namibia, to understand how ridesharing is achieved in this setting, including the drivers\u2019 orientations, concerns and practices, and their consequences for their passengers. Our findings lead us to suggest designing a different sort of ridesharing system to support the drivers\u2019 agency and tempo, which enables drivers to locate customers in a more ad hoc way than established digital ridesharing platforms. This contributes to a growing body of research on designing for ridesharing. <\/span><\/p>\n <\/p>\n","protected":false},"excerpt":{"rendered":" Ridesharing has become a hot topic in research and in the media, largely because of the recent rise of platforms like Lyft and Uber. Yet shared taxis and paratransit services have played central roles in many African countries\u2019 transport systems for years. We conducted an ethnographic study of shared taxis in Windhoek, Namibia, to understand […]<\/p>\n","protected":false},"featured_media":390752,"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":[],"research-area":[13554,13568],"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-390614","msr-research-item","type-msr-research-item","status-publish","has-post-thumbnail","hentry","msr-research-area-human-computer-interaction","msr-research-area-technology-for-emerging-markets","msr-locale-en_us"],"msr_publishername":"ACM - Association for Computing Machinery","msr_edition":"Proceedings of the First African Conference on Human Computer Interaction","msr_affiliation":"","msr_published_date":"2016-11-21","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"36-47","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","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":"390617","msr_publicationurl":"http:\/\/dl.acm.org\/citation.cfm?id=2998582","msr_doi":"","msr_publication_uploader":[{"type":"file","title":"AfriCHI_Kasera_ONeill_Bidwell_Camera_Final_final","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/06\/AfriCHI_Kasera_ONeill_Bidwell_Camera_Final_final.pdf","id":390617,"label_id":0},{"type":"url","title":"http:\/\/dl.acm.org\/citation.cfm?id=2998582","viewUrl":false,"id":false,"label_id":0}],"msr_related_uploader":"","msr_attachments":[{"id":0,"url":"http:\/\/dl.acm.org\/citation.cfm?id=2998582"}],"msr-author-ordering":[{"type":"text","value":"Joseph Kasera","user_id":0,"rest_url":false},{"type":"user_nicename","value":"jaoneil","user_id":32172,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=jaoneil"},{"type":"text","value":"Nic Bidwell","user_id":0,"rest_url":false}],"msr_impact_theme":[],"msr_research_lab":[],"msr_event":[],"msr_group":[144784],"msr_project":[239753],"publication":[],"video":[],"download":[],"msr_publication_type":"inproceedings","related_content":{"projects":[{"ID":239753,"post_title":"Future workplaces","post_name":"future-workplaces","post_type":"msr-project","post_date":"2016-06-17 15:02:15","post_modified":"2018-08-07 01:00:54","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/future-workplaces\/","post_excerpt":"Technology platforms are emerging as a new kind of workplace: from crowdwork to \u2018peer economy\u2019 platforms. This project uses ethnographic methods to address questions such as: Who are the workers on these platforms? What are their work practices? How do they differ from traditional labor? How is the complex relationship between workers, customers, platform provider, and the algorithms they create, experienced? 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