{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,2]],"date-time":"2026-08-02T18:16:58Z","timestamp":1785694618369,"version":"3.56.0"},"reference-count":34,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2023,3,13]],"date-time":"2023-03-13T00:00:00Z","timestamp":1678665600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["MTI"],"abstract":"<jats:p>There are various mobile applications to support foreign-language learning. While providing interactive designs and playful games to keep learners interested, these applications do not focus on motivating learners to continue learning after a long time. Our goal for this study was to develop an application that guides learners to achieve small goals by creating small lessons that are related to their real-life situations, with a main focus on vocabulary acquisition. Therefore, we present MiniHongo, a smartphone application that recognizes learners\u2019 current locations and activities to compose lessons that comprise words that are strongly related to the learners\u2019 real-time situations and can be studied in a short time period, thereby improving user motivation. MiniHongo uses a cloud service for its database and public application programming interfaces for location tracking. A between-subject experiment was conducted to evaluate MiniHongo, which involved comparing it to two other versions of itself. One composed lessons without location recognition, and the other composed lessons without location and activity recognition. The experimental results indicate that users have a strong interest in learning Japanese with MiniHongo, and some difference was found in how well users could memorize what they learned via the application. It is also suggested that the application requires improvements.<\/jats:p>","DOI":"10.3390\/mti7030029","type":"journal-article","created":{"date-parts":[[2023,3,13]],"date-time":"2023-03-13T07:28:15Z","timestamp":1678692495000},"page":"29","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Location- and Physical-Activity-Based Application for Japanese Vocabulary Acquisition for Non-Japanese Speakers"],"prefix":"10.3390","volume":"7","author":[{"given":"Nguyen","family":"Tran","sequence":"first","affiliation":[{"name":"Graduate School of Science and Technology, Kyoto Institute of Technology, Kyoto 606-8585, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shogo","family":"Kajimura","sequence":"additional","affiliation":[{"name":"Faculty of Information and Human Sciences, Kyoto Institute of Technology, Kyoto 606-8585, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5542-8272","authenticated-orcid":false,"given":"Yu","family":"Shibuya","sequence":"additional","affiliation":[{"name":"Faculty of Information and Human Sciences, Kyoto Institute of Technology, Kyoto 606-8585, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,3,13]]},"reference":[{"key":"ref_1","unstructured":"Mahwar, N.J. 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