{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:59:12Z","timestamp":1760241552695,"version":"build-2065373602"},"reference-count":19,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2018,5,17]],"date-time":"2018-05-17T00:00:00Z","timestamp":1526515200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["BDCC"],"abstract":"<jats:p>With the widespread use of wearable sensors, cloud services, social networking services (SNS), etc., there are various applications and systems that record information on users\u2019 daily activities and support recalling these activities. In various situations in everyday life, it is useful to recall and refer to past events by utilizing such information; therefore, there are increasing expectations surrounding a memory recall system that supports users\u2019 activities. In this research, we aim to realize a system that acquires records of users\u2019 experiences, transforms these records as Active Information Resources, autonomously manages the accumulated records based on the record\u2019s metadata, and supports users\u2019 human memory recall. In this paper, we describe the design and implementation of a basic framework for accumulating records on daily activities and providing information related to past experiences according to the user\u2019s request. We also present evaluation experiments using the implemented system.<\/jats:p>","DOI":"10.3390\/bdcc2020012","type":"journal-article","created":{"date-parts":[[2018,5,17]],"date-time":"2018-05-17T11:47:45Z","timestamp":1526557665000},"page":"12","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Memory Recall Support System Based on Active Acquisition and Accumulation of Memory Fragments"],"prefix":"10.3390","volume":"2","author":[{"given":"Kaho","family":"Takahashi","sequence":"first","affiliation":[{"name":"Research Institute of Electrical Communication, Tohoku University, Katahira 2-1-1, Aoba-ku, Sendai 980-8577, Japan"},{"name":"Graduate School of Information Sciences, Tohoku University, Aoba 6-3-09, Aramaki-aza, Aoba-ku, Sendai 980-8579, Japan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4369-9865","authenticated-orcid":false,"given":"Takumi","family":"Kato","sequence":"additional","affiliation":[{"name":"Research Institute of Electrical Communication, Tohoku University, Katahira 2-1-1, Aoba-ku, Sendai 980-8577, Japan"},{"name":"Graduate School of Information Sciences, Tohoku University, Aoba 6-3-09, Aramaki-aza, Aoba-ku, Sendai 980-8579, Japan"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4789-856X","authenticated-orcid":false,"given":"Tetsuo","family":"Kinoshita","sequence":"additional","affiliation":[{"name":"Research Institute of Electrical Communication, Tohoku University, Katahira 2-1-1, Aoba-ku, Sendai 980-8577, Japan"},{"name":"Graduate School of Information Sciences, Tohoku University, Aoba 6-3-09, Aramaki-aza, Aoba-ku, Sendai 980-8579, Japan"}]}],"member":"1968","published-online":{"date-parts":[[2018,5,17]]},"reference":[{"key":"ref_1","unstructured":"Larry, R.S., and Eric, R.K. 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