People with vision impairments access smartphones with the help of screen reader apps such as TalkBack for Android and VoiceOver for iPhone. Prior research has mostly focused on understanding touchscreen phone adoption and typing performance of novice blind users by logging their real-world smartphone usage. Understanding smartphone usage pattern and practices of expert users can help in developing tools and tutorials for transitioning novice and intermediate users to expert users. In this work, we logged smartphone usage data of eight expert Android smartphone users with visual impairments for four weeks, and then interviewed them. This paper presents a detailed analysis that uncovered novel usage patterns, such as extensive usage of directional gestures, reliance on voice and external keyboard for text input, and repurposed explore by touch for single-tap. We conclude with design recommendations to inform the future of mobile accessibility, including hardware guidelines and rethinking accessible software design.<\/p>\n","protected":false},"excerpt":{"rendered":"
People with vision impairments access smartphones with the help of screen reader apps such as TalkBack for Android and VoiceOver for iPhone. Prior research has mostly focused on understanding touchscreen phone adoption and typing performance of novice blind users by logging their real-world smartphone usage. Understanding smartphone usage pattern and practices of expert users can […]<\/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":[],"research-area":[13554],"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":[249802,255415],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-744259","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-human-computer-interaction","msr-locale-en_us","msr-field-of-study-accessibility","msr-field-of-study-human-centered-computing"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2021-5-1","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":"","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":"","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2021\/05\/TalkBack_Log_Study_CHI_2021.pdf","id":"744262","title":"talkback_log_study_chi_2021","label_id":"243132","label":0}],"msr_related_uploader":"","msr_attachments":[{"id":744262,"url":"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2021\/05\/TalkBack_Log_Study_CHI_2021.pdf"}],"msr-author-ordering":[{"type":"user_nicename","value":"Mohit Jain","user_id":38769,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Mohit Jain"},{"type":"text","value":"Nirmalendu Diwakar","user_id":0,"rest_url":false},{"type":"user_nicename","value":"Manohar Swaminathan","user_id":35356,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Manohar Swaminathan"}],"msr_impact_theme":[],"msr_research_lab":[199562],"msr_event":[725128],"msr_group":[144784],"msr_project":[573690,986193],"publication":[],"video":[],"download":[],"msr_publication_type":"inproceedings","related_content":{"projects":[{"ID":573690,"post_title":"Ludic Design for Accessibility","post_name":"ludicdesign","post_type":"msr-project","post_date":"2019-03-18 02:31:07","post_modified":"2022-04-09 21:38:03","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/ludicdesign\/","post_excerpt":"Ludic Design for Accessibility (LDA) that puts play and playfulness at the center of all assistive technology design and use.","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/573690"}]}},{"ID":986193,"post_title":"Accessibility and Assistive technology","post_name":"accessibility-and-assistive-technology","post_type":"msr-project","post_date":"2023-11-21 06:26:01","post_modified":"2023-11-21 07:06:26","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/accessibility-and-assistive-technology\/","post_excerpt":"With Emphasis on the Global South The work on accessibility at MSR India has spanned the range from spatial audio with HoloLens to the use of feature phones to reach children with vision impairments and a spectrum of tangible toys to enhance numeracy for them, to a quiz platform for the Deaf or Hard of Hearing community, with an overarching new methodology called Ludic Design for Accessibility. 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