{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T02:36:57Z","timestamp":1772937417480,"version":"3.50.1"},"reference-count":60,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,1,19]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>We designed and implemented Mus\u00e9e to capture the novel experience of interpreting cover versions of music, which contain both familiar and unfamiliar musical components and are curated based on the user\u2019s music-streaming history data. Mus\u00e9e is a tangible music player that enables users to explore and listen to professional or amateur covers of songs (via YouTube) in two categories: covers of songs from users\u2019 most-liked artists and covers of users\u2019 most-played songs. To investigate its potential value in situ, we conducted field trials of Mus\u00e9e in four households for 1 month. Findings showed that unfamiliar musical elements in cover music provided a sense of \u2018freshness\u2019 to past songs and helped the listener appreciate over-consumed music in new ways. In addition, restricting detailed information about cover songs that were playing helped users focus on the sound, thus priming them to infer and reflect on the original song and their memories associated with it. Our findings point to new insights for the design of interfaces that use historical personal data to expand users\u2019 experience beyond solely revisiting prior tastes.<\/jats:p>","DOI":"10.1093\/iwc\/iwac027","type":"journal-article","created":{"date-parts":[[2022,9,8]],"date-time":"2022-09-08T15:58:53Z","timestamp":1662652733000},"page":"24-42","source":"Crossref","is-referenced-by-count":3,"title":["Encountering Cover Versions of Songs Derived from Personal Music-Listening History Data: a Design and Field Trial of Mus\u00e9e in Homes"],"prefix":"10.1093","volume":"34","author":[{"given":"Sangu","family":"Jang","sequence":"first","affiliation":[{"name":"Department of Design , UNIST, Ulsan 44919, Republic of Korea"}]},{"given":"Woojin","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Design , UNIST, Ulsan 44919, Republic of Korea"}]},{"given":"Beom","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Design , UNIST, Ulsan 44919, Republic of Korea"}]},{"given":"William","family":"Odom","sequence":"additional","affiliation":[{"name":"Everyday Design Studio , School of Interactive Arts and Technology, , Surrey, British Columbia, Canada"},{"name":"Simon Fraser University , School of Interactive Arts and Technology, , Surrey, British Columbia, Canada"}]},{"given":"Young-Woo","family":"Park","sequence":"additional","affiliation":[{"name":"Department of Design , UNIST, Ulsan 44919, Republic of Korea"}]}],"member":"286","published-online":{"date-parts":[[2022,9,7]]},"reference":[{"key":"2023031507055715100_","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1016\/j.ijhcs.2018.04.004","article-title":"Moodplay: interactive music recommendation based on artists\u2019 mood similarity","volume":"121","author":"Andjelkovic","year":"2019","journal-title":"Int. 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