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Evidence for the merits of collecting streaming music

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Abstract

Streaming music applications allow their users to listen to music that they did not collect, making music collecting voluntary for the first time in the history of music consumption. Using a questionnaire (n = 370), we aimed to measure streaming collection size and its relations to other variables. Results showed a large variability in streaming collection size, with a median of only 200 songs. Furthermore, most participants drastically reduced their collection size when moving to streaming technology. Our results nevertheless found extensive evidence for the merits of streaming collections, including (a) collection size positively correlated with both listening hours and listening enjoyment; (b) participants wanted to listen to their favorite music for most of their streaming listening time; (c) young participants collected almost twice as many streaming songs as older participants, indicating that collecting is not an old habit; and (d) participants who enjoyed listening to records/CDs more than streaming were found to have previously been avid collectors who had abandoned collecting for streaming applications. In this paper, we discuss why regardless of these merits, the large majority of our participants reduced their collection size and conclude with suggestions about how the redesigning of streaming applications may encourage users to collect more songs.

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Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

Notes

  1. Based on https://www.midiaresearch.com/blog/music-subscriber-market-shares-q2-2021 retrieved on July 17, 2022.

  2. As indicated in https://en.wikipedia.org/wiki/Album retrieved on July 26, 2021.

References

  1. Bergman O, Whittaker S, Tish G (2022) Collecting music in the streaming age. Pers Ubiquit Comput 1(26):121–129

    Article  Google Scholar 

  2. Bergman O, Whittaker S (2016) The science of managing our digital stuff. Mit Press, Cambridge, MA

    Book  Google Scholar 

  3. Jones W, Teevan J (2007) Personal information management. University of Washington Press, Seattle, WA

    Google Scholar 

  4. Golsteijn C, Van Den Hoven E, Frohlich D, Sellen A (2012) Towards a more cherishable digital object. In: Proceedings of the designing interactive systems conference. Newcastle, UK. ACM press, New York, pp 655–664

  5. Whittaker S, Bergman O, Clough P (2010) Easy on that trigger dad: a study of long term family photo retrieval. Pers Ubiquit Comput 13(5):17–30

    Google Scholar 

  6. Teevan J, Alvarado C, Ackerman MS, Karger DR (2004) The perfect search engine is not enough: a study of orienteering behavior in directed search. In: Dykstra-Erickson E, Tscheligi M (eds) SIGCHI conference on Human Factors in Computing Systems. ACM Press, New York, pp 415–422

    Chapter  Google Scholar 

  7. Bruce H, Jones W, Dumais S (2004) Keeping and re-finding information on the web: what do people do and what do they need? Proc Am Soc Inf Sci Technol 41(1):129–137

    Article  Google Scholar 

  8. Whittaker S, Bellotti V, Gwizdka J (2007) Everything through email. In: Jones W, Teevan J (eds) Personal information management. University of Washington Press, Seattle, pp 167–189

    Google Scholar 

  9. Whittaker S, Matthews T, Cerruti J, Badenes H, Tang J (2011) Am I wasting my time organizing email? A study of email refinding. In: Tan D, Fitzpatrick G, Gutwin C, Begole B, Kellogg WA (eds) Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, New York, NY, USA, pp 3449–3458

  10. Cage K, Santos L, Scott C, Vaughn-Cooke M (2014) Personal health record design preferences for minority diabetic patients. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting vol 1. SAGE Publications, pp 614–618

  11. Taha J, Sharit J, Czaja SJ (2014) Usability of an electronic personal health record (PHR) among a diverse group of adults. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Chicago IL, vol 1. SAGE Publications, Newbury Park, California, pp 619–623

  12. Czerwinski M, Horvitz E (2002) An investigation of memory for daily computing events. In: HCI, 2002, ACM press, New York, pp 230–245

  13. Bellotti V, Dalal B, Good N, Flynn P, Bobrow DG, Ducheneaut N (2004). What a to-do: studies of task management towards the design of a personal task list manager. In the Proceedings of the SIGCHI conference on Human factors in computing systems, Vienna, Austria, ACM, New York, pp 735-742.

  14. Dinneen JD, Julien CA (2020) The ubiquitous digital file: a review of file management research. J Am Soc Inf Sci 71(1):E1–E32

    Google Scholar 

  15. Cunningham SJ, Jones M, Jones S (2004) Organizing digital music for use: an examination of personal music collections. In: ISMIR, Barcelona, Spain, pp 1-8

  16. Bentley F, Metcalf C, Harboe G (2006) Personal vs. commercial content: the similarities between consumer use of photos and music. In: Proceedings of the SIGCHI conference on Human Factors in computing systems. ACM, New York, pp 667–676

  17. Sesigür O (2020) How to approach collecting music on streaming services. Interactions: Stud Commun Culture 11 (1):65–74

  18. Bergman O, Whittaker S, Schooler J (2021) Out of sight and out of mind: bookmarks are created but not used. J Librariansh Inf Sci 53(2):338–348

    Article  Google Scholar 

  19. Brinegar J, Capra R (2011) Managing music across multiple devices and computers. In: Proceedings of the 2011 iConference. ACM, pp 489–495

  20. Andriūnaitytė R (2020) A PIM perspective on music usage and curation using Spotify. Master thesis, Aalborg University, Copenhagen

  21. Bainbridge D, Cunningham SJ, Downie JS (2003) How people describe their music information needs: a grounded theory analysis of music queries. In: ISMIR 2003. Johns Hopkins University, pp 1–2

  22. Bergman O, Beyth-Marom R, Nachmias R (2008) The user-subjective approach to personal information management systems design: evidence and implementations. J Am Soc Inform Sci Technol 59(2):235–246

    Article  Google Scholar 

  23. Jones W (2007) Keeping found things found: the study and practice of personal information management Morgan Kauffman, Seattle

  24. Barreau DK, Nardi BA (1995) Finding and reminding: file organization from the desktop. SIGCHI Bulletin 27(3):39–43

    Article  Google Scholar 

  25. Bergman O, Elyada O, Dvir N, Vaitzman Y, Ben Ami A (2015) Spotting the latest version of a file with Old’nGray. Interact Comput 27(6):630–639. https://doi.org/10.1093/iwc/iwu018

    Article  Google Scholar 

  26. Bergman O, Tucker S, Beyth-Marom R, Cutrell E, Whittaker S (2009) It’s not that important: demoting personal information of low subjective importance using GrayArea. CHI 2009 Conference on Human Factors and Computing Systems. ACM, New York, NY, USA, pp 269–278

    Google Scholar 

  27. Bergman O, Komninos A, Liarokapis D, Clarke J (2012) You never call: demoting unused contacts on mobile phones using DMTR. Pers Ubiquit Comput 16(6):757–766. https://doi.org/10.1007/s00779-011-0411-3

    Article  Google Scholar 

  28. Whittaker S, Hirschberg J (2001) The character, value, and management of personal paper archives. ACM Transactions on Computer-Human Interaction 8(2):150–170. http://doi.acm.org/10.1145/376929.376932

  29. Malone TW (1983) How do people organize their desks? Implications for the design of office information systems. ACM Trans Office Inf Syst 1(1):99–112

    Article  Google Scholar 

  30. Whittaker S, Sidner C (1996) Email overload: exploring personal information management of email. In: Proceedings of the SIGCHI conference on Human Factors in Computing Systems: Common Ground. ACM Press, New York, NY, pp 276–283

  31. Fitchett S, Cockburn A (2015) An empirical characterisation of file retrieval. Int J Hum Comput Stud 74:1–13

    Article  Google Scholar 

  32. Petrelli D, Whittaker S (2010) Family memories in the home: contrasting physical and digital mementos. Pers Ubiquit Comput 14(2):153–169

    Article  Google Scholar 

  33. Kibby M (2009) Collect yourself: negotiating personal music archives. Inf Commun Soc 12(3):428–443

    Article  Google Scholar 

  34. Watkins RD, Sellen A, Lindley SE (2015) Digital collections and digital collecting practices. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. pp 3423–3432

  35. Bergman O, Gradovitch N, Bar-Ilan J, Beyth-Marom R (2013) Folder vs. tag preference in personal information management. J Am Soc Inf Sci Technol 64(10):1995–2012

    Article  Google Scholar 

  36. Cunningham SJ, Bainbridge D, Falconer A (2006) “More of an art than a science”: supporting the creation of playlists and mixes

  37. Lee JH, Kim Y-S, Hubbles C (2016) A look at the cloud from both sides now: an analysis of cloud music service usage. In: ISMIR pp 299–305

  38. Hagen AN (2015) The playlist experience: personal playlists in music streaming services. Pop Music Soc 38(5):625–645

    Article  Google Scholar 

  39. Cunningham SJ, Bainbridge D, Bainbridge A (2017) Exploring personal music collection behavior. International Conference on Asian Digital Libraries. Springer, pp 295–306

    Google Scholar 

  40. Weinberger M, Bouhnik D (2019) Usage habits in music streaming applications and their influence on privacy related issues. In: Science and Information Technology Education Conference, Jerusalem, Israel. Informing Science Institute, pp 437–447

  41. Sinclair G, Tinson J (2017) Psychological ownership and music streaming consumption. J Bus Res 71:1–9

    Article  Google Scholar 

  42. Ng J, Yew J (2017) Why download when you can stream? The experience of collecting music in the streaming age. In: Proceedings of the 3rd International Conference on Human-Computer Interaction and User Experience in Indonesia pp 28–33

  43. Uski S, Lampinen A (2016) Social norms and self-presentation on social network sites: profile work in action. New Media Soc 18(3):447–464

    Article  Google Scholar 

  44. Morris JW, Powers D (2015) Control, curation and musical experience in streaming music services. Creative Industries Journal 8(2):106–122

    Article  Google Scholar 

  45. Maalsen S, McLean J (2018) Record collections as musical archives: gender, record collecting, and whose music is heard. J Mater Cult 23(1):39–57

    Article  Google Scholar 

  46. Gilbert D, Ebert JE (2002) Decisions and revisions: the affective forecasting of changeable outcomes. J Pers Soc Psychol 82(4):503–514

    Article  Google Scholar 

  47. Iyengar SS, Lepper MR (2000) When choice is demotivating: can one desire too much of a good thing? J Pers Soc Psychol 79(6):995

    Article  Google Scholar 

  48. Kamalzadeh M, Baur D, Möller T (2012) A survey on music listening and management behaviours

  49. Deary IJ, Corley J, Gow AJ, Harris SE, Houlihan LM, Marioni RE, Penke L, Rafnsson SB, Starr JM (2009) Age-associated cognitive decline. Br Med Bull 92(1):135–152

    Article  Google Scholar 

  50. Salthouse TA (2009) When does age-related cognitive decline begin? Neurobiol Aging 30(4):507–514

    Article  Google Scholar 

  51. Verhaeghen P, Salthouse TA (1997) Meta-analyses of age–cognition relations in adulthood: estimates of linear and nonlinear age effects and structural models. Psychol Bull 122(3):231

    Article  Google Scholar 

  52. Shneiderman B, Plaisant C, Cohen M, Jacobs S, Elmqvist N, Diakopoulos N (2016) Designing the user interface: strategies for effective human-computer interaction. Pearson

  53. Kahneman D, Diener E, Schwarz N (1999) Well-being: foundations of hedonic psychology. Russell Sage Foundation

    Google Scholar 

  54. Gilbert D (2009) Stumbling on happiness. Random House LLC, New York

    Google Scholar 

  55. Belk RW, Wallendorf M (2012) Of mice and men: gender identity in collecting. In: Interpreting objects and collections. Routledge, pp 252–265

  56. Apostolou M (2011) Why men collect things? A case study of fossilised dinosaur eggs. J Econ Psychol 32(3):410–417

    Article  Google Scholar 

  57. Hamari J, Koivisto J, Sarsa H (2014) Does gamification work?--a literature review of empirical studies on gamification. In: 2014 47th Hawaii international conference on system sciences. Ieee, pp 3025–3034

  58. Kapp KM (2013) The gamification of learning and instruction fieldbook: ideas into practice. John Wiley & Sons

    Google Scholar 

  59. Konstan J, Terveen L (2021) Human-centered recommender systems: origins, advances, challenges, and opportunities. AI Mag 42(3):31–42

    Google Scholar 

  60. Knijnenburg BP, Willemsen MC, Gantner Z, Soncu H, Newell C (2012) Explaining the user experience of recommender systems. User Model User-Adap Inter 22(4):441–504

    Article  Google Scholar 

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We thank our participants for their time and effort.

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Correspondence to Ofer Bergman.

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Bergman, O., Whittaker, S. & Gradovitch, N. Evidence for the merits of collecting streaming music. Pers Ubiquit Comput 27, 331–342 (2023). https://doi.org/10.1007/s00779-022-01692-y

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