Real-Time Aural and Visual Feedback for Improving Violin Intonation
Playing with correct intonation is one of the major challenges for a string player. A player must learn how to physically reproduce a target pitch, but before that, the player must learn what correct intonation is. This requires audiation- the aural equivalent of visualization- of every note along w...
        Saved in:
      
    
          | Published in | Frontiers in psychology Vol. 10; p. 627 | 
|---|---|
| Main Authors | , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        Switzerland
          Frontiers Media S.A
    
        02.04.2019
     | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 1664-1078 1664-1078  | 
| DOI | 10.3389/fpsyg.2019.00627 | 
Cover
| Abstract | Playing with correct intonation is one of the major challenges for a string player. A player must learn how to physically reproduce a target pitch, but before that, the player must learn what correct intonation is. This requires audiation- the aural equivalent of visualization- of every note along with self-assessment whether the pitch played matches the target, and if not, what action should be taken to correct it. A challenge for successful learning is that much of it occurs during practice, typically without outside supervision. A student who has not yet learned to hear correct intonation may repeatedly practice out of tune, blithely normalizing bad habits and bad intonation. The real-time reflective nature of intonation and its consistent demand on attention make it a ripe target for technological intervention. Using a violin augmented to combine fingerboard sensors with audio analysis for real-time pitch detection, we examine the efficacy of three methods of real-time feedback for improving intonation and pitch learning. The first, aural feedback in the form of an in-tune guide pitch following the student in real-time, is inspired by the tradition of students playing along with teachers. The second is visual feedback on intonation correctness using an algorithm optimized for use throughout normal practice. The third is a combination of the two methods, simultaneously providing aural and visual feedback. Twelve beginning violinists, including children and adults, were given four
20-30 min lessons. Each lesson used one of the intonation feedback methods, along with a control lesson using no feedback. We collected data on intonation accuracy and conducted interviews on student experience and preference. The results varied by player, with evidence of some players being helped by the feedback methods but also cases where the feedback was distracting and intonation suffered. However interviews suggested a high level of interest and potential in having such tools to help during practice, and results also suggested that it takes time to learn to use the real-time aural and visual feedback. Both methods of feedback demonstrate potential for assisting self-reflection during individual practice. | 
    
|---|---|
| AbstractList | Playing with correct intonation is one of the major challenges for a string player. A player must learn how to physically reproduce a target pitch, but before that, the player must learn what correct intonation is. This requires audiation- the aural equivalent of visualization- of every note along with self-assessment whether the pitch played matches the target, and if not, what action should be taken to correct it. A challenge for successful learning is that much of it occurs during practice, typically without outside supervision. A student who has not yet learned to hear correct intonation may repeatedly practice out of tune, blithely normalizing bad habits and bad intonation. The real-time reflective nature of intonation and its consistent demand on attention make it a ripe target for technological intervention. Using a violin augmented to combine fingerboard sensors with audio analysis for real-time pitch detection, we examine the efficacy of three methods of real-time feedback for improving intonation and pitch learning. The first, aural feedback in the form of an in-tune guide pitch following the student in real-time, is inspired by the tradition of students playing along with teachers. The second is visual feedback on intonation correctness using an algorithm optimized for use throughout normal practice. The third is a combination of the two methods, simultaneously providing aural and visual feedback. Twelve beginning violinists, including children and adults, were given four
20-30 min lessons. Each lesson used one of the intonation feedback methods, along with a control lesson using no feedback. We collected data on intonation accuracy and conducted interviews on student experience and preference. The results varied by player, with evidence of some players being helped by the feedback methods but also cases where the feedback was distracting and intonation suffered. However interviews suggested a high level of interest and potential in having such tools to help during practice, and results also suggested that it takes time to learn to use the real-time aural and visual feedback. Both methods of feedback demonstrate potential for assisting self-reflection during individual practice. Playing with correct intonation is one of the major challenges for a string player. A player must learn how to physically reproduce a target pitch, but before that, the player must learn what correct intonation is. This requires audiation- the aural equivalent of visualization- of every note along with self-assessment whether the pitch played matches the target, and if not, what action should be taken to correct it. A challenge for successful learning is that much of it occurs during practice, typically without outside supervision. A student who has not yet learned to hear correct intonation may repeatedly practice out of tune, blithely normalizing bad habits and bad intonation. The real-time reflective nature of intonation and its consistent demand on attention make it a ripe target for technological intervention. Using a violin augmented to combine fingerboard sensors with audio analysis for real-time pitch detection, we examine the efficacy of three methods of real-time feedback for improving intonation and pitch learning. The first, aural feedback in the form of an in-tune guide pitch following the student in real-time, is inspired by the tradition of students playing along with teachers. The second is visual feedback on intonation correctness using an algorithm optimized for use throughout normal practice. The third is a combination of the two methods, simultaneously providing aural and visual feedback. Twelve beginning violinists, including children and adults, were given four in-situ 20–30 min lessons. Each lesson used one of the intonation feedback methods, along with a control lesson using no feedback. We collected data on intonation accuracy and conducted interviews on student experience and preference. The results varied by player, with evidence of some players being helped by the feedback methods but also cases where the feedback was distracting and intonation suffered. However interviews suggested a high level of interest and potential in having such tools to help during practice, and results also suggested that it takes time to learn to use the real-time aural and visual feedback. Both methods of feedback demonstrate potential for assisting self-reflection during individual practice. Playing with correct intonation is one of the major challenges for a string player. A player must learn how to physically reproduce a target pitch, but before that, the player must learn what correct intonation is. This requires audiation- the aural equivalent of visualization- of every note along with self-assessment whether the pitch played matches the target, and if not, what action should be taken to correct it. A challenge for successful learning is that much of it occurs during practice, typically without outside supervision. A student who has not yet learned to hear correct intonation may repeatedly practice out of tune, blithely normalizing bad habits and bad intonation. The real-time reflective nature of intonation and its consistent demand on attention make it a ripe target for technological intervention. Using a violin augmented to combine fingerboard sensors with audio analysis for real-time pitch detection, we examine the efficacy of three methods of real-time feedback for improving intonation and pitch learning. The first, aural feedback in the form of an in-tune guide pitch following the student in real-time, is inspired by the tradition of students playing along with teachers. The second is visual feedback on intonation correctness using an algorithm optimized for use throughout normal practice. The third is a combination of the two methods, simultaneously providing aural and visual feedback. Twelve beginning violinists, including children and adults, were given four in-situ 20-30 min lessons. Each lesson used one of the intonation feedback methods, along with a control lesson using no feedback. We collected data on intonation accuracy and conducted interviews on student experience and preference. The results varied by player, with evidence of some players being helped by the feedback methods but also cases where the feedback was distracting and intonation suffered. However interviews suggested a high level of interest and potential in having such tools to help during practice, and results also suggested that it takes time to learn to use the real-time aural and visual feedback. Both methods of feedback demonstrate potential for assisting self-reflection during individual practice.Playing with correct intonation is one of the major challenges for a string player. A player must learn how to physically reproduce a target pitch, but before that, the player must learn what correct intonation is. This requires audiation- the aural equivalent of visualization- of every note along with self-assessment whether the pitch played matches the target, and if not, what action should be taken to correct it. A challenge for successful learning is that much of it occurs during practice, typically without outside supervision. A student who has not yet learned to hear correct intonation may repeatedly practice out of tune, blithely normalizing bad habits and bad intonation. The real-time reflective nature of intonation and its consistent demand on attention make it a ripe target for technological intervention. Using a violin augmented to combine fingerboard sensors with audio analysis for real-time pitch detection, we examine the efficacy of three methods of real-time feedback for improving intonation and pitch learning. The first, aural feedback in the form of an in-tune guide pitch following the student in real-time, is inspired by the tradition of students playing along with teachers. The second is visual feedback on intonation correctness using an algorithm optimized for use throughout normal practice. The third is a combination of the two methods, simultaneously providing aural and visual feedback. Twelve beginning violinists, including children and adults, were given four in-situ 20-30 min lessons. Each lesson used one of the intonation feedback methods, along with a control lesson using no feedback. We collected data on intonation accuracy and conducted interviews on student experience and preference. The results varied by player, with evidence of some players being helped by the feedback methods but also cases where the feedback was distracting and intonation suffered. However interviews suggested a high level of interest and potential in having such tools to help during practice, and results also suggested that it takes time to learn to use the real-time aural and visual feedback. Both methods of feedback demonstrate potential for assisting self-reflection during individual practice.  | 
    
| Author | McPherson, Andrew Pardue, Laurel S.  | 
    
| AuthorAffiliation | Augmented Instruments Laboratory, Centre for Digital Music, Queen Mary University of London, Electrical Engineering & Computer Science , London , United Kingdom | 
    
| AuthorAffiliation_xml | – name: Augmented Instruments Laboratory, Centre for Digital Music, Queen Mary University of London, Electrical Engineering & Computer Science , London , United Kingdom | 
    
| Author_xml | – sequence: 1 givenname: Laurel S. surname: Pardue fullname: Pardue, Laurel S. – sequence: 2 givenname: Andrew surname: McPherson fullname: McPherson, Andrew  | 
    
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31001159$$D View this record in MEDLINE/PubMed | 
    
| BookMark | eNqFUc1vFCEUJ6bGfti7JzNHL7PyGGaAi0mzsXaTJiameiXAMCuVgRFmava_l-7WpvWgXHjh_T54v3eKjkIMFqE3gFdNw8X7Ycq77YpgECuMO8JeoBPoOloDZvzoSX2MznO-xeVQTDAmr9BxAxgDtOIErb9Y5esbN9rqYknKVyr01TeXl1JeWttrZX5UQ0zVZpxSvHNhW7rRu1BtwhyDml0Mr9HLQflszx_uM_T18uPN-qq-_vxps764rg3tyFwLpQkVQDQbGG80xYpSbduOgGFAekV6QQcO1GojgGnVGE56xiwHSwuRNmdoc9Dto7qVU3KjSjsZlZP7h5i2UqXZGW8lxho0o6aYaMq5EgClbtu2NxwDFkULDlpLmNTul_L-URCwvM9X7vOV9_nKfb6F8-HAmRY92t7YMJfEnn3keSe473Ib72RH25ZAVwTePQik-HOxeZajy8Z6r4KNS5aEAAjaFqsCffvU69Hkz-YKoDsATIo5JztI4-b9Ooq18_-aAv9F_O_gvwEYkL3F | 
    
| CitedBy_id | crossref_primary_10_1177_19484992221121755 crossref_primary_10_5209_reciem_77966 crossref_primary_10_1080_14613808_2023_2222291 crossref_primary_10_3389_fpsyg_2022_835609 crossref_primary_10_3390_educsci13090860 crossref_primary_10_3389_fpsyg_2021_684693 crossref_primary_10_1177_0305735620928397  | 
    
| Cites_doi | 10.1016/j.heares.2006.05.004 10.1145/2493432.2493457 10.1109/ICMEW.2012.35 10.1121/1.416070 10.1080/02671520701755416 10.1145/1322192.1322252 10.1109/TIM.2010.2065770 10.1145/1459359.1459552 10.1121/1.405632 10.3389/fpsyg.2014.00044 10.1145/1290144.1290156 10.3813/AAA.918200 10.1525/mp.2015.33.2.135 10.1145/1978822.1978834 10.1191/1478088706qp063oa 10.1080/10447310709336957 10.3389/fpsyg.2018.02436 10.1111/j.2044-8295.1996.tb02591.x 10.1080/09298215.2015.1087575 10.1145/1520340.1520619 10.4324/9781315085807-7 10.1525/mp.2003.20.4.383 10.1177/0305735604039283 10.1177/0255761411433728 10.1121/1.1458024 10.1145/3125571.3125588 10.1177/2059204318784582 10.2174/1874350101508010192 10.3813/AAA.918932 10.1145/2207676.2208561 10.1080/00222895.1971.10734898 10.1097/WNR.0b013e3283319e25 10.1162/COMJ_a_00005  | 
    
| ContentType | Journal Article | 
    
| Copyright | Copyright © 2019 Pardue and McPherson. 2019 Pardue and McPherson | 
    
| Copyright_xml | – notice: Copyright © 2019 Pardue and McPherson. 2019 Pardue and McPherson | 
    
| DBID | AAYXX CITATION NPM 7X8 5PM ADTOC UNPAY DOA  | 
    
| DOI | 10.3389/fpsyg.2019.00627 | 
    
| DatabaseName | CrossRef PubMed MEDLINE - Academic PubMed Central (Full Participant titles) Unpaywall for CDI: Periodical Content Unpaywall DOAJ Directory of Open Access Journals  | 
    
| DatabaseTitle | CrossRef PubMed MEDLINE - Academic  | 
    
| DatabaseTitleList | PubMed MEDLINE - Academic  | 
    
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: UNPAY name: Unpaywall url: https://proxy.k.utb.cz/login?url=https://unpaywall.org/ sourceTypes: Open Access Repository  | 
    
| DeliveryMethod | fulltext_linktorsrc | 
    
| Discipline | Psychology | 
    
| EISSN | 1664-1078 | 
    
| ExternalDocumentID | oai_doaj_org_article_00b1b74c40ab488a911c40555dc80109 10.3389/fpsyg.2019.00627 PMC6455216 31001159 10_3389_fpsyg_2019_00627  | 
    
| Genre | Journal Article | 
    
| GrantInformation_xml | – fundername: Engineering and Physical Sciences Research Council grantid: EP/N005112/1  | 
    
| GroupedDBID | 53G 5VS 9T4 AAFWJ AAKDD AAYXX ABIVO ACGFO ACGFS ACHQT ADBBV ADRAZ AEGXH AFPKN AIAGR ALMA_UNASSIGNED_HOLDINGS AOIJS BAWUL BCNDV CITATION DIK EBS EJD EMOBN F5P GROUPED_DOAJ GX1 HYE KQ8 M48 M~E O5R O5S OK1 P2P PGMZT RNS RPM ACXDI IAO ICO IEA IHR IHW IPNFZ IPY NPM RIG 7X8 5PM ADTOC UNPAY  | 
    
| ID | FETCH-LOGICAL-c462t-9ab24912b7f783b40a44be5621c712da2d94f814ebc917ba3c82d77e81e424943 | 
    
| IEDL.DBID | UNPAY | 
    
| ISSN | 1664-1078 | 
    
| IngestDate | Fri Oct 03 12:46:33 EDT 2025 Sun Oct 26 04:15:15 EDT 2025 Tue Sep 30 16:44:53 EDT 2025 Sun Aug 24 04:03:03 EDT 2025 Thu Jan 02 22:59:53 EST 2025 Wed Oct 01 05:06:42 EDT 2025 Thu Apr 24 22:56:54 EDT 2025  | 
    
| IsDoiOpenAccess | true | 
    
| IsOpenAccess | true | 
    
| IsPeerReviewed | true | 
    
| IsScholarly | true | 
    
| Keywords | aural feedback intonation violin motor learning pedagogy visual feedback real-time feedback  | 
    
| Language | English | 
    
| License | This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. cc-by  | 
    
| LinkModel | DirectLink | 
    
| MergedId | FETCHMERGED-LOGICAL-c462t-9ab24912b7f783b40a44be5621c712da2d94f814ebc917ba3c82d77e81e424943 | 
    
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Edited by: Alfonso Perez-Carrillo, Universidad Pompeu Fabra, Spain Reviewed by: Esther H. S. Mang, Hong Kong Baptist University, Hong Kong; Miguel Molina-Solana, Imperial College London, United Kingdom; George Waddell, Royal College of Music, United Kingdom This article was submitted to Performance Science, a section of the journal Frontiers in Psychology  | 
    
| OpenAccessLink | https://proxy.k.utb.cz/login?url=https://www.frontiersin.org/articles/10.3389/fpsyg.2019.00627/pdf | 
    
| PMID | 31001159 | 
    
| PQID | 2211945273 | 
    
| PQPubID | 23479 | 
    
| ParticipantIDs | doaj_primary_oai_doaj_org_article_00b1b74c40ab488a911c40555dc80109 unpaywall_primary_10_3389_fpsyg_2019_00627 pubmedcentral_primary_oai_pubmedcentral_nih_gov_6455216 proquest_miscellaneous_2211945273 pubmed_primary_31001159 crossref_citationtrail_10_3389_fpsyg_2019_00627 crossref_primary_10_3389_fpsyg_2019_00627  | 
    
| ProviderPackageCode | CITATION AAYXX  | 
    
| PublicationCentury | 2000 | 
    
| PublicationDate | 2019-04-02 | 
    
| PublicationDateYYYYMMDD | 2019-04-02 | 
    
| PublicationDate_xml | – month: 04 year: 2019 text: 2019-04-02 day: 02  | 
    
| PublicationDecade | 2010 | 
    
| PublicationPlace | Switzerland | 
    
| PublicationPlace_xml | – name: Switzerland | 
    
| PublicationTitle | Frontiers in psychology | 
    
| PublicationTitleAlternate | Front Psychol | 
    
| PublicationYear | 2019 | 
    
| Publisher | Frontiers Media S.A | 
    
| Publisher_xml | – name: Frontiers Media S.A | 
    
| References | Brown (B3) 1996; 100 Kohut (B22) 1985 Buys (B4) 2018 Sharp (B47) 2008; 23 Consolvo (B5) 2007; 22 Percival (B41) 2007 Ng (B35) 2007 Volpe (B52) 2017 Ng (B36) 2008 Pardue (B40) 2015; 44 De Sorbier (B7) 2012 B32 Micheyl (B33) 2006; 219 Kjeldskov (B21) 2014 Lu (B31) 2008 Schoonderwaldt (B46) 2007 B39 Hafke-Dys (B13) 2016; 102 Johnson (B18) 2012 Suzuki (B49) 1983 Leukel (B28) 2004; 32 Loosen (B30) 1993; 93 Adams (B1) 1971; 3 van der Linden (B50) van der Linden (B51); 60 Kreitman (B24) 1998 Yee-King (B57) 2014 Ng (B37) 2007 Kempter (B20) 2003 B43 Geringer (B12) 2014; 32 Wang (B54) 2012 De Cheveigné (B6) 2002; 111 Perez-Carrillo (B42) 2016 Johnson (B17) 2013 Demoucron (B8) 2009; 95 Vurma (B53) 2014; 5 Fleming (B11) 2006; 7 Duffin (B9) 2008 Lim (B29) 2010; 34 Braun (B2) 2006; 3 Larrouy-Maestri (B27) 2018 Sloboda (B48) 1996; 87 Rogers (B45) 2007 Yang (B56) 2016 Johnson (B16) 2017 Rogers (B44) 2011; 18 Kopiez (B23) 2003; 20 Warren (B55) 2015; 33 O'Connor (B38) 1987 B19 Jambon (B15) 2009 Morreale (B34) 2018; 9 Larkin (B26) 2008 Hanson (B14) 2009; 20 Kreitman (B25) 2010 Dyer (B10) 2015; 8  | 
    
| References_xml | – volume: 219 start-page: 36 year: 2006 ident: B33 article-title: Influence of musical and psychoacoustical training on pitch discrimination publication-title: Hear. Research doi: 10.1016/j.heares.2006.05.004 – volume-title: Not Pulling Strings year: 1987 ident: B38 – start-page: 811 volume-title: Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing year: 2013 ident: B17 article-title: Embracing calibration in body sensing: using self-tweaking to enhance ownership and performance, doi: 10.1145/2493432.2493457 – start-page: 163 volume-title: 2012 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) year: 2012 ident: B54 article-title: Real-time pitch training system for violin learners, doi: 10.1109/ICMEW.2012.35 – volume: 100 start-page: 1728 year: 1996 ident: B3 article-title: Pitch center of stringed instrument vibrato tones publication-title: J. Acous. Soc. Am. doi: 10.1121/1.416070 – volume: 23 start-page: 293 year: 2008 ident: B47 article-title: Vak or vak-uous? towards the trivialisation of learning and the death of scholarship publication-title: Res. Pap. Educ. doi: 10.1080/02671520701755416 – start-page: 1 volume-title: Signal & Information Processing Association Annual Summit and Conference (APSIPA ASC), 2012 Asia-Pacific year: 2012 ident: B7 article-title: Violin pedagogy for finger and bow placement using augmented reality, – volume-title: Electronic Visualisation and the Arts (EVA) London Conference year: 2007 ident: B35 article-title: 3D Motion data analysis and visualisation for string practice training, – start-page: 339 volume-title: Proceedings of the 9th International Conference on Multimodal Interfaces year: 2007 ident: B37 article-title: 3D augmented mirror: a multimodal interface for string instrument learning and teaching with gesture support, doi: 10.1145/1322192.1322252 – start-page: 035003 volume-title: Proceedings of Meetings on Acoustics 172ASA year: 2016 ident: B42 article-title: Statistical models for the indirect acquisition of violin bowing controls from audio analysis, – volume: 60 start-page: 104 ident: B51 article-title: Musicjacket: combining motion capture and vibrotactile feedback to teach violin bowing publication-title: IEEE Trans. Instrument. Meas. doi: 10.1109/TIM.2010.2065770 – start-page: 1005 volume-title: Proceedings of the 16th ACM International Conference on Multimedia year: 2008 ident: B31 article-title: IDVT: an interactive digital violin tutoring system based on audio-visual fusion, doi: 10.1145/1459359.1459552 – volume: 93 start-page: 525 year: 1993 ident: B30 article-title: Intonation of solo violin performance with reference to equally tempered, pythagorean, and just intonations publication-title: J. Acoust. Soc. Am. doi: 10.1121/1.405632 – volume: 5 start-page: 44 year: 2014 ident: B53 article-title: Timbre-induced pitch shift from the perspective of signal detection theory: the impact of musical expertise, silence interval, and pitch region publication-title: Front. Psychol. doi: 10.3389/fpsyg.2014.00044 – ident: B39 – start-page: 336 volume-title: International Conference on Ubiquitous Computing year: 2007 ident: B45 article-title: Why it's worth the hassle: The value of in-situ studies when designing ubicomp, – start-page: 67 volume-title: Proceedings of the International Workshop on Educational Multimedia and Multimedia Education year: 2007 ident: B41 article-title: Effective use of multimedia for computer-assisted musical instrument tutoring, doi: 10.1145/1290144.1290156 – volume-title: How Equal Temperament Ruined Harmony (and Why You Should Care) year: 2008 ident: B9 – volume: 95 start-page: 718 year: 2009 ident: B8 article-title: Measuring bow force in bowed string performance: theory and implementation of a bow force sensor publication-title: Acta Acust. doi: 10.3813/AAA.918200 – volume: 33 start-page: 135 year: 2015 ident: B55 article-title: The actual vs. predicted effects of intonation accuracy on vocal performance quality publication-title: Music Percept. Interdiscipl. J. doi: 10.1525/mp.2015.33.2.135 – volume-title: Teaching from the Balance Point: A Guide for Suzuki Parents, Teachers, and Students year: 1998 ident: B24 – volume: 18 start-page: 58 year: 2011 ident: B44 article-title: Interaction design gone wild: striving for wild theory publication-title: Interactions doi: 10.1145/1978822.1978834 – volume: 3 start-page: 77 year: 2006 ident: B2 article-title: Using thematic analysis in psychology publication-title: Qual. Res. Psychol. doi: 10.1191/1478088706qp063oa – volume-title: Proceedings of the 15th Sound and Music Computing Conference year: 2018 ident: B4 article-title: Real-time bowed string feature extraction for performance applications, – volume: 22 start-page: 103 year: 2007 ident: B5 article-title: Conducting in situ evaluations for and with ubiquitous computing technologies publication-title: Int. J. Hum. Comput. Interact. doi: 10.1080/10447310709336957 – start-page: 108 volume-title: Proceedings of the 17th Conference of the International Society for Music Information Retrieval (ISMIR) year: 2016 ident: B56 article-title: Ava: an interactive system for visual and quantitative analyses of vibrato and portamento performance styles, – volume: 7 start-page: 4 year: 2006 ident: B11 article-title: Learning styles again: varking up the right tree! publication-title: Educ. Dev. – volume: 9 start-page: 2436 year: 2018 ident: B34 article-title: Effect of instrument structure alterations on violin performance publication-title: Front. Psychol. doi: 10.3389/fpsyg.2018.02436 – volume: 87 start-page: 287 year: 1996 ident: B48 article-title: The role of practice in the development of performing musicians publication-title: Brit. J. Psychol. doi: 10.1111/j.2044-8295.1996.tb02591.x – volume: 44 start-page: 305 year: 2015 ident: B40 article-title: A low-cost real-time tracking system for violin publication-title: J. New Music Res. doi: 10.1080/09298215.2015.1087575 – ident: B43 – start-page: 4069 volume-title: CHI'09 Extended Abstracts on Human Factors in Computing Systems year: 2009 ident: B15 article-title: User experience evaluation in the wild, doi: 10.1145/1520340.1520619 – volume-title: Teaching with an Open Heart: A Guide to Developing Conscious Musicianship for Suzuki Parents, Teachers, and Students year: 2010 ident: B25 – start-page: 105 volume-title: The Music Practitioner year: 2017 ident: B16 article-title: ‘Expressive intonation’ in string performance: problems of analysis and interpretation, doi: 10.4324/9781315085807-7 – volume: 20 start-page: 383 year: 2003 ident: B23 article-title: Intonation of harmonic intervals: adaptability of expert musicians to equal temperament and just intonation publication-title: Music Percept. Interdiscipl. J. doi: 10.1525/mp.2003.20.4.383 – volume: 32 start-page: 75 year: 2004 ident: B28 article-title: The influence of harmoniccontext on the tuning of thirds played by professional flautists publication-title: Psychol. Music doi: 10.1177/0305735604039283 – volume-title: Nurtured by Love: The Classic Approach to Talent Education year: 1983 ident: B49 – volume: 32 start-page: 19 year: 2014 ident: B12 article-title: Two studies of pitch in string instrument vibrato: perception and pitch matching responses of university and high school string players publication-title: Int. J. Music Educ. doi: 10.1177/0255761411433728 – volume-title: Proceedings of the 14th International Conference on Auditory Display year: 2008 ident: B26 article-title: Sonification of bowing features for string instrument training, – volume: 111 start-page: 1917 year: 2002 ident: B6 article-title: Yin, a fundamental frequency estimator for speech and music publication-title: J. Acous. Soc. Am. doi: 10.1121/1.1458024 – start-page: 25 volume-title: Proceedings of the 12th Biannual Conference on Italian SIGCHI Chapter year: 2017 ident: B52 article-title: A multimodal corpus for technology-enhanced learning of violin playing, doi: 10.1145/3125571.3125588 – volume-title: Designing Educational Social Machines for Effective Feedback. year: 2014 ident: B57 – year: 2018 ident: B27 article-title: ‘I know it when i hear it' on listeners' perception of mistuning publication-title: Music Sci. doi: 10.1177/2059204318784582 – start-page: 225 volume-title: Proceedings of the 2008 Conference on New Interfaces for Musical Expression year: 2008 ident: B36 article-title: i-maestro: Technology-enhanced learning and teaching for music, – start-page: 533 volume-title: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems ident: B50 article-title: Buzzing to play: lessons learned from an in the wild study of real-time vibrotactile feedback, – volume: 8 start-page: 192 year: 2015 ident: B10 article-title: Sonification as concurrent augmented feedback for motor skill learning and the importance of mapping design publication-title: Open Psychol. J. doi: 10.2174/1874350101508010192 – volume: 102 start-page: 155 year: 2016 ident: B13 article-title: Violinists' perceptions of and motor reactions to fundamental frequency shifts introduced in auditory feedback publication-title: Acta Acust. doi: 10.3813/AAA.918932 – start-page: 1135 volume-title: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems year: 2012 ident: B18 article-title: Being in the thick of in-the-wild studies: the challenges and insights of researcher participation, doi: 10.1145/2207676.2208561 – volume: 3 start-page: 111 year: 1971 ident: B1 article-title: A closed-loop theory of motor learning publication-title: J. Motor Behav. doi: 10.1080/00222895.1971.10734898 – volume-title: How Muscles Learn: Teaching the Violin with the Body in Mind year: 2003 ident: B20 – volume-title: Musical Performance: Learning Theory and Pedagogy year: 1985 ident: B22 – volume: 20 start-page: 1392 year: 2009 ident: B14 article-title: Preferential processing of tactile events under conditions of divided attention: effects of divided attention on reaction time publication-title: Neuroreport doi: 10.1097/WNR.0b013e3283319e25 – start-page: 43 volume-title: Proceedings of the 16th International Conference on Human-Computer Interaction With Mobile Devices & Services year: 2014 ident: B21 article-title: Was it worth the hassle?: Ten years of mobile hci research discussions on lab and field evaluations, – start-page: 65 volume-title: Proceedings of the 3rd International Conference on Automated Production of Cross Media Content for Multi-channel Distribution (AXMEDIS07) year: 2007 ident: B46 article-title: Visualization of bowing gestures for feedback: The hodgson plot, – volume: 34 start-page: 45 year: 2010 ident: B29 article-title: Intune: a system to support an instrumentalist's visualization of intonation publication-title: Comput. Music J. doi: 10.1162/COMJ_a_00005 – ident: B32 – ident: B19  | 
    
| SSID | ssj0000402002 | 
    
| Score | 2.27874 | 
    
| Snippet | Playing with correct intonation is one of the major challenges for a string player. A player must learn how to physically reproduce a target pitch, but before... | 
    
| SourceID | doaj unpaywall pubmedcentral proquest pubmed crossref  | 
    
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source  | 
    
| StartPage | 627 | 
    
| SubjectTerms | aural feedback intonation motor learning pedagogy Psychology real-time feedback violin  | 
    
| SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3fT9swELamvsALArZBGKBM2gtIURPXSZzHUlF1k7aHCRBvls8_AFGl1doK9b_nzilRq03rC29REifO3dn-znf5jrFvtHkP3kGii8onQnpIZM4hSb32aSFBWEuO4s9fxehW_LjP79dKfVFOWEMP3Aium6aQQSmMSDWgsWkcnHic57k1ksI6NPumslpzpsIcTG4Rpe5QXBK9sKrrp7PlA6VyET9lQUVk1tahQNf_L4z5d6rkzqKe6uWLHo_X1qHhPttbAci433T8gH1w9SHbbeex5Uc2-I3gL6F_O-I-kWrEurbx3dNsgYdDXKxAm-cYsWrcbijgVardE3-ngsJBVZ_Y7fD6ZjBKVrUSEiMKPk8qDehIZRxKX8oeoLSEAIfgJjNlxq3mthJeZsKBQQcNdM9IbsvSycwJbCh6n1mnntTumMXGO4uwyPDcg8i4qUDbtMRp0LnKpAIi1n2TnDIrInGqZzFW6FCQrFWQtSJZqyDriF20LaYNicZ_7r0iZbT3Ef11OIFGoVZGobYZRcS-vqlS4XChGIiu3WQxU5wY7QSxzkXsqFFt-yqKdSBAxtblhtI3-rJ5pX56DJTchcgRBxURu2zNY-uXnrzHl35hu_TEkEvET1ln_mfhzhAmzeE8jIhXV7IPlw priority: 102 providerName: Directory of Open Access Journals – databaseName: Scholars Portal Journals: Open Access dbid: M48 link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV1Lb9QwELZKOdALojwDFAUJIYFkmngd2zkgVCpWBakcEIt6izyO3Vasstt9CPbfM-NkI1ZdFW5RYifOjD3zTcb5hrFX9PEeggduVRm4NAG4KQTwLNiQKQOyrilQPP2qTkbyy1lxtsPWf5d0ApxvDe2ontRoNn73-2r1ARf8e4o40d8ehul8dU67tIh6Ugn9enrFqawUpV-7Ghu32G10XSXVdjjt8H801RQ9tfsSlZJokrRpU5lb77vhuiLD_zZYen135Z1lM7WrX3Y8_st1De-xux3mTI_aSbLPdnxzn-31pm_1gB1_Q7zI6XeQ9Ih4OFLb1OmPy_kSD4fo38C6nynC27T_BoFXqdxP-plqEEftPmSj4afvxye8K6_AnVRiwUsLGHvlAnTQZgAys1KCRzyUO52L2oq6lMHk0oPDmA7swBlRa-1N7iV2lINHbLeZNP4JS13wNSIpJ4oAMheuBFtnGi2n96XLJCTscC25ynXc41QCY1xhDEKyrqKsK5J1FWWdsDd9j2nLu3FD24-kjL4dMWbHE5PZedUtQGwJOWjp8DUBjZZFI4_HRVHUzlB6MGEv16qscIVR2sQ2frKcV4JI8CQR1SXscava_lGUHkFMjb31htI3xrJ5pbm8iCzeShYInVTC3vbT459v-vQ_BvmM7VGHuLtIPGe7i9nSHyBwWsCLOPn_APG7F20 priority: 102 providerName: Scholars Portal  | 
    
| Title | Real-Time Aural and Visual Feedback for Improving Violin Intonation | 
    
| URI | https://www.ncbi.nlm.nih.gov/pubmed/31001159 https://www.proquest.com/docview/2211945273 https://pubmed.ncbi.nlm.nih.gov/PMC6455216 https://www.frontiersin.org/articles/10.3389/fpsyg.2019.00627/pdf https://doaj.org/article/00b1b74c40ab488a911c40555dc80109  | 
    
| UnpaywallVersion | publishedVersion | 
    
| Volume | 10 | 
    
| hasFullText | 1 | 
    
| inHoldings | 1 | 
    
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAFT databaseName: Open Access Digital Library customDbUrl: eissn: 1664-1078 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000402002 issn: 1664-1078 databaseCode: KQ8 dateStart: 20100101 isFulltext: true titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html providerName: Colorado Alliance of Research Libraries – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 1664-1078 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000402002 issn: 1664-1078 databaseCode: DOA dateStart: 20100101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVBFR databaseName: Free Medical Journals customDbUrl: eissn: 1664-1078 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000402002 issn: 1664-1078 databaseCode: DIK dateStart: 20100101 isFulltext: true titleUrlDefault: http://www.freemedicaljournals.com providerName: Flying Publisher – providerCode: PRVFQY databaseName: GFMER Free Medical Journals customDbUrl: eissn: 1664-1078 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000402002 issn: 1664-1078 databaseCode: GX1 dateStart: 0 isFulltext: true titleUrlDefault: http://www.gfmer.ch/Medical_journals/Free_medical.php providerName: Geneva Foundation for Medical Education and Research – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 1664-1078 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000402002 issn: 1664-1078 databaseCode: M~E dateStart: 20100101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVAQN databaseName: PubMed Central customDbUrl: eissn: 1664-1078 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0000402002 issn: 1664-1078 databaseCode: RPM dateStart: 20100101 isFulltext: true titleUrlDefault: https://www.ncbi.nlm.nih.gov/pmc/ providerName: National Library of Medicine – providerCode: PRVFZP databaseName: Scholars Portal - Open Access customDbUrl: eissn: 1664-1078 dateEnd: 20250131 omitProxy: true ssIdentifier: ssj0000402002 issn: 1664-1078 databaseCode: M48 dateStart: 20101201 isFulltext: true titleUrlDefault: http://journals.scholarsportal.info providerName: Scholars Portal  | 
    
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lj9MwEB5B98BeeD_CYxUkLiBlN3EdxzmWFdWCtCuEKIJT5PEDqq2yFW2Eyq9nJkkjCisQ4hI5yViJ7bH9jT3-BuAZL95j8JgYVYZE6oCJzgUmaTAhVRqlc2wonp6pk5l88zHfehOuerfKwEf3ORD0vO6YgnsXMe7hZFGVR2G52nxmtyzmmlRkvC9duAp7Kic4PoK92dnbySc2tJSSNMwUutuevDTrznTUsvZfBjV_95i81tRLs_lmFoufpqPpDcBtQTovlPPDZo2H9vsvHI__VdKbcL0Hq_Gkk78FV3x9G_aHMXNzB47fEdBM-BxJPGECj9jULv4wXzWUnNLEiMaex4SL42Hxgt5ynKD4NQcvbtXiLsymr94fnyR9XIbESiXWSWmQjLZMYBEKPUaZGinRE5DKbJEJZ4QrZdCZ9GjJGEQztlq4ovA685IyyvE9GNUXtX8AsQ3eEQSzIg8oM2FLNC4taMj1vrSpxAiOts1T2Z60nGNnLCoyXriGqraGKq6hqq2hCJ4POZYdYccfZF9yiw9yTLXdPqC2qPq2IEnMsJCWiok02hmaHSid57mzmvcVI3i61ZeKuibvt5jaXzSrSjB7nmSGuwjud_ozfIr3VQiMU-5iR7N2_mX3TT3_0tJ_K5kT5lIRvBh08K8lffgvwo9gn29a_yTxGEbrr41_QtBrjQftkgVdT6U-6DvaD2U-MHM | 
    
| linkProvider | Unpaywall | 
    
| linkToUnpaywall | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lj9MwEB5B98BeeD-yPBQkLiBlN3EdOzmWFdWCxAohiuAUefyAaqtsRRutyq9nJkkjCisQ4ubEYyW2x_Y39vgbgGe8eY_BY2JUGRJZBEyKXGCSBhNSVaB0jg3Ft6fqZCbffMq33oSr3q0y8NV9DgQ9rzum4N5FjEc4WVTlUViuNl_YLYu5JhUZ70sXrsKeygmOj2Bvdvpu8pkNLaUkTTO66I4nLy26sxy1rP2XQc3fPSavNfXSbC7MYvHTcjS9AbitSOeFcnbYrPHQfv-F4_G_anoTrvdgNZ508rfgiq9vw_4wZ27uwPF7ApoJ3yOJJ0zgEZvaxR_nq4aSU1oY0dizmHBxPGxeUC7HCYpfc_DiVi3uwmz66sPxSdLHZUisVGKdlAbJaMsE6qCLMcrUSImegFRmdSacEa6UocikR0vGIJqxLYTT2heZl1RQju_BqD6v_QOIbfCOIJgVeUCZCVuicammKdf70qYSIzjadk9le9Jyjp2xqMh44Raq2haquIWqtoUieD6UWHaEHX-Qfck9Psgx1Xb7gvqi6vuCJDFDLS1VE2m2M7Q6UDrPc2cLPleM4OlWXyoamnzeYmp_3qwqwex5khnuIrjf6c_wKT5XITBOpfWOZu38y25OPf_a0n8rmRPmUhG8GHTwrzU9-Bfhh7DPD61_kngEo_W3xj8m6LXGJ_3g-gEwyC6k | 
    
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Real-Time+Aural+and+Visual+Feedback+for+Improving+Violin+Intonation&rft.jtitle=Frontiers+in+psychology&rft.au=Pardue%2C+Laurel+S&rft.au=McPherson%2C+Andrew&rft.date=2019-04-02&rft.issn=1664-1078&rft.eissn=1664-1078&rft.volume=10&rft.spage=627&rft_id=info:doi/10.3389%2Ffpsyg.2019.00627&rft.externalDBID=NO_FULL_TEXT | 
    
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1664-1078&client=summon | 
    
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1664-1078&client=summon | 
    
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1664-1078&client=summon |