{"164561":{"#nid":"164561","#data":{"type":"event","title":"Ph.D. Defense of Dissertation: James Clawson","body":[{"value":"\u003Cp\u003ETitle: \u003Cstrong\u003EOn-the-Go Text Entry: Evaluating and Improving Mobile Text Input on mini-QWERTY Keyboards\u003C\/strong\u003E\u003Cbr \/\u003E\u003Cbr \/\u003E\u003Cstrong\u003EJames Clawson\u003C\/strong\u003E\u003Cbr \/\u003EHuman-Centered Computing\u003Cbr \/\u003ESchool of Interactive Computing\u003Cbr \/\u003ECollege of Computing\u003Cbr \/\u003EGeorgia Institute of Technology \u003Cbr \/\u003E\u003Cbr \/\u003E\u003Cbr \/\u003EDate: Tuesday, October 30, 2012\u003Cbr \/\u003ETime: 1:00-4:00pm\u003Cbr \/\u003ELocation: TSRB 134 \u003Cbr \/\u003E\u003Cbr \/\u003E\u003Cbr \/\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003EDr. Thad Starner, School of Interactive Computing, Advisor\u003C\/li\u003E\u003Cli\u003EDr. Gregory Abowd, School of Interactive Computing\u003C\/li\u003E\u003Cli\u003EDr. Beth Mynatt, School of Interactive Computing\u003C\/li\u003E\u003Cli\u003EDr. Scott MacKenzie, Department of Computer Science and Engineering, York University\u003C\/li\u003E\u003Cli\u003EDr. Jacob Wobbrock, Information School, University of Washington\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u003C\/strong\u003E \u003Cbr \/\u003ETo date, hundreds of millions of mini-QWERTY keyboard equipped devices (miniaturized versions of a full desktop keyboard)\u0026nbsp; have been sold. Accordingly, a large percentage of text messages originate from fixed-key, mini-QWERTY keyboard enabled mobile phones. In this dissertation, I present ways to improve text messaging on mini-QWERTY keyboard enabled mobile phones through the use of an automatic error correction algorithm. Over a series of three longitudinal studies I quantify how quickly and accurately individuals can input text on mini-QWERTY keyboards. I evaluate performance in ideal laboratory conditions as well as in a variety of mobile contexts. My first study establishes baseline performance measures; my second study investigates the impact of limited visibility on text input performance; and my third study investigates the impact of mobility (sitting, standing, and walking) on text input performance. After approximately five hours of practice, participants achieved expertise typing almost 60 words-per-minute at almost 95% accuracy. Upon completion of these studies, I examine the types of errors that people make when typing on mini-QWERTY keyboards. Having discovered a common pattern in errors, I develop and refine an algorithm to automatically detect and correct errors in mini-QWERTY keyboard enabled text input. I both validate the algorithm through the analysis of pre-recorded typing data and then empirically evaluate the impacts of automatic error correction on live mini-QWERTY keyboard text input. Validating the algorithm over various datasets, I demonstrate the potential to correct approximately a 25% of the total errors and correct up to 3% of the total keystrokes. Evaluating automatic error detection and correction on live typing results in successfully correcting 60.80% of the off-by-one errors committed by participants while increasing typing rates by almost 2 words-per-minute without introducing any distraction.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"On-the-Go Text Entry: Evaluating and Improving Mobile Text Input on mini-QWERTY Keyboards"}],"uid":"1","created_gmt":"2012-10-23 10:44:40","changed_gmt":"2016-10-08 02:00:53","author":"Jupiter","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2012-10-30T14:00:00-04:00","event_time_end":"2012-10-30T17:00:00-04:00","event_time_end_last":"2012-10-30T17:00:00-04:00","gmt_time_start":"2012-10-30 18:00:00","gmt_time_end":"2012-10-30 21:00:00","gmt_time_end_last":"2012-10-30 21:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:jamer@cc.gatech.edu\u0022\u003EJames Clawson\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}