Music listeners need a way to feel emotionally connected to others through their shared experiences and memories with music in their lives because there are limits with music listening services on the user experience for engaging in shared memory and meaning of music.
This study explores the relationship between music, human emotions, and memory. Music plays a prominent role in everyday life for many people (Jäncke, 2008). People listen to music throughout the day through technologies such as radio and audio recordings. Music takes many forms throughout people’s daily lives: music as part of collective cultural memory and identity, music as a method of creating a sense of belonging, and music as a connection between an individual to a larger community and generation (Dijck, 2006). Studies have shown that there is an association between memories and emotions to form autobiographical memories. One study examined the emotions that are evoked when hearing musical pieces from one’s past. The study found that most songs evoked various strong emotions, which were mainly positive such as nostalgia (Jäncke, 2008).
Music streaming services today have community features, such as sharing, for users to actively engage with the community through the shared interest in music. Some examples of this are sharing a playlist of songs with a friend or leaving a comment on a song. However, these community features vary across different apps, thus limiting how deep individuals become engaged with the community. Taking into account the strengths and limitations of current music streaming apps, the project will aim towards creating an app that focuses on enhancing community features where individuals can share their emotions, memories, or experiences with music in their lives with others in the community.
Music is strongly intertwined with memories, being attached to events of the past, accompanied by sights, sounds, and feelings from a specific event. A cognitive research study examining the ties between music, memories of autobiographical events, and emotions found that young adults tie in recorded music with memories of specific autobiographical events, whereas respondents who indicated an age over 45 tend to tie specific songs to nostalgic moods (Dijck, 2006). Another study confirmed these observations about the relationship between musical memory and emotions, arguing that music evokes memories of youth and reminds people of past events, thus intensifying feelings of nostalgia, regret, or reminiscence (Dijck, 2006).
Autobiographical memories exist in different levels of detail. The broader level of detail describes it as periods in one’s lifetime. The finer level of specificity is knowledge of specific events (Janata et al., 2007). When thinking about autobiographical memories for music, one way to think about it is the retrieval of information about the music, such as the title of the song, the artist, or the time period it was popular. However, without these pieces of information, we can still relive the memories and emotions tied with a piece of music just by listening to it. In many cases, the music piece becomes stored in memory during an event without the need of knowing the song’s title. In a study focusing on the characteristics of autobiographical memories evoked by music, it was observed from written responses that there was a large range of memories associated with music. Some descriptions are of specific events that happened in association with the music, such as waiting at a red light in the car with a high school friend. Other descriptions tied music to social relationships, such as friends or significant others. There are also responses where the participant tied different songs to specific moments in their life, such as stages of a romantic relationship while they were young (Janata et al., 2007). The different levels of specificity tied to the memory of a song varies across individuals, but a common theme is that the music means something to the individual, whether trivial or not.
Technological advancements have led to the ability to preserve and archive music in physical and digital formats. Music streaming apps today are an ever-growing archive of music from around the world. It acts as an archive of music from the past, but also continues growing for music constantly being created in the present. Due to the continuous growth of music, apps are caught between their own purpose in the app’s design and the desires of the user. Keeping in mind the complex ties between music, memory, and human emotions, users may tend to feel drawn towards finding music from their past, while the app is designed to push users toward exploring music. A case study on Spotify by Marika Lüders in the European Journal of Cultural Studies focuses on defining what Spotify ‘wants’ and what humans want. The study characterizes Spotify’s features into two categories: material and machine agency. Machine agency features include recommendation algorithms. Material features include browsing music, connecting with friends, editing playlists, and saving albums and artists. The purpose of pushing people towards exploring music is done through the machine agency, whereas the personal and mnemonic meaning of music is supported by material features (Lüders, 2021).
The study interviewed participants on their experiences with different features of Spotify. Participants found the accessibility to vast music libraries made them more inclined to explore and discover music. However, being able to access and explore a vast amount of music leads to ephemeral listening-patterns, where users described themselves losing focus to finish listening to an album and jumping quickly between songs. One user compared the experience of buying a CD and listening to it in a certain setting in contrast with being able to pick songs at random on music streaming services. They explained how the short-attention span with listening to music makes it difficult to associate songs or albums with certain occasions or memories. This indicates the design to explore in Spotify may be leading to a loss in the sentiments of associating memories with music (Lüders, 2021). Actions that counteract this design is the user’s will to archive. The feature of creating playlists acts as a primary instrument for users to archive music that matters to them. It is akin to the physical act of collecting CDs and other physical music recordings.
By documenting the role of music in human memories and emotions and the potential limitations of community-related features of current music streaming services, this project is aimed to develop a user experience that engages music more closely with the autobiographical memories and emotions of individuals and introducing useful features to bring individuals closer together through the shared experiences of listening to music.
I examined popular music streaming apps to understand what services many people use to listen to music. This competitive analysis serves as a method to help me understand the design of the most widely used music streaming services. The rankings of the top 5 music streaming apps are ranked on total number of users and paid subscribers from 2023 statistics summarized on BusinessofApps database overview for “Music Streaming App Revenue and Usage Statistics (2023)”. I chose two other apps based on features focused on the experience of sharing music with others. By choosing apps from the popular end of the spectrum to the niche side, a cross comparison analysis can be conducted.
Table 1: Competitive Analysis of Music Apps | |
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App Name | Description |
Spotify
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Spotify is a digital music, podcast, and video service with massive growing libraries of songs and content by creators around the world. App characteristics include:
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Apple Music
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Some characteristics of Apple Music:
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Amazon Music
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Amazon Music features a massive amount of current and back-catalog songs and albums. Some characteristics of Amazon Music:
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YouTube
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YouTube is a video sharing website and often used to play music, search for songs, and assemble playlists. Recently, YouTube launched its music service YouTube Music featuring official albums, videos, live performances, and more. Characteristics of YouTube Music:
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Pandora
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Pandora is a music streaming and discovery app. Characteristics of Pandora:
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Musicboard
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Musicboard is a social platform that allows users to keep track of music they listen to and actively engage with the music they listen to through various action features. Characteristics of Musicboard:
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Makromusic
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Makromusic is a social platform that focuses on matching users with other people that share the same music taste. Characteristics of Musicboard:
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Here is a table of features the apps have, providing a visual of common features among music apps and features unique to a few apps.
Table 2: Features in Music Apps | |||||||
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Spotify | Apple Music | Amazon Music | YouTube | Pandora | Musicboard | Makromusic | |
Music Player | X | X | X | X | X | ||
Music Sharing | X | X | X | X | X | ||
Create Playlist | X | X | X | X | X | X | X |
Friends/Following List | X | X | X | X | X | ||
Live Radio | X | X | |||||
Sound Quality | X | X | X | X | X | ||
Music Video | X | X | X | X | X | ||
Recommendations | X | X | X | X | X | X | X |
Write Reviews | X | ||||||
Leave Rating | X | X | X | ||||
Chat with Other Users | X | X | X | ||||
Free/Paid/Both | Both | Paid | Both | Both | Both | Both | Both |
All the apps offer paid subscription plans. The following table lists out features offered by the paid subscription plans across all apps. By observation, many of the apps share similar features in their paid plans.
Table 2: Features in Music Apps | |||||||
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Features for Paid Subscription | |||||||
Spotify
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Apple Music
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Amazon Music
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YouTube Music
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Pandora
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Musicboard
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Makromusic
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For part of my user research, I analyzed data collected by two studies that have interviewed and surveyed people about their experiences with music. The studies I analyze data from are “Record and Hold: Popular Music between Personal and Collective Memory” by Dijck (Dijck, 2006) and “Pushing music: People’s continued will to archive versus Spotify’s will to make them explore” by Lüders (Lüders, 2021). Analyzing digital records will provide an overview of the music experience from a music listener’s perspective while interview data will provide in-depth understanding of what participants think about specific aspects of the music listening experience and reveal common keywords in regards to these experiences.
In Dijck’s study “Record and Hold: Popular Music between Personal and Collective Memory”, Dijck analyzed an online set of narrative responses generated through the Dutch Top 2000, a national radio-event. This radio event organizes a five-day broadcast of the 2000 most popular songs of all times, compiled by public radio listeners. During the event, the station asks for personal comments from listeners, which involve evaluations and memories of the songs. The comments range from in the moment, physical experiences to reminiscing on past memories.
There are many comments that Dijk quotes in this study. I drew the following keywords to categorize the various types of comments: technology, mood, memory, family, and collective. Below is a table that ties quotes from comments that fit these keywords.
Table 4: Keyword Categories from Dijk's Study on Dutch Top 2000's 2004 Database | |
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Categories | Comments |
Mood |
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Memory |
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Technology |
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Family |
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Collective |
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Mood encompasses emotions and general sensations the person feels when they listen to a song. Memory describes specific scenes the person remembers when they hear a song. Technology describes the type of recording technology that existed during the time the person remembers the song. Family shows a connection between family members through shared stories. Collective describes social activities people remember when they listen to music.
Lüders’ “Pushing music: People’s continued will to archive versus Spotify’s will to make them explore” is a case study on the user experience for the music streaming service app Spotify. The study conducted interviews to examine how people express their needs for exploring and archiving music.
For exploring music, a recurring theme among participants is the easy access to vast music libraries. This made them more inclined to exploring and discovering music. One participant described how Spotify encouraged them to become more open to music they would not have listened to in the past. The second way participants explore music in Spotify is by seeing what their friends are listening to by looking at the friend feeds feature in the app. The third way of exploring music is through the recommendation algorithm. The recommendation algorithm similarly helped some participants open up their tastes in music genres.
For archiving music, many participants felt that Spotify’s features for saving and collecting music was inferior to physical collections or digital collections of music as local files. The participants expressed that saving music involved the user knowing about the feature and actively using the feature to save music. One participant expressed that they have to actively remind themselves to remember the artist they just listened to before they move on to listening to other artists. Another participant preferred the nostalgia of having their own material collections of their favorite artists and albums on their iPhone and physical CDs.
Spotify does offer the function to create playlists, which users use as a means to save music. Participants’ reasons for creating playlists go beyond just creating a digital archive. Participants want to remember certain phases of their life or express a particular mood. One participant explained that they used playlists as a way to link personal meanings in their life to music: “when I was 14, that was the time I loved hip-hop.” Another participant created multiple playlists for different moods and environments: “I have several work-playlists that I have in the background while working.”
After analyzing secondary sources to understand a sample of the population’s relationship with music, I conducted interviews with two people. My interview questions were focused on understanding the past and present relationships between the participants and music.
My first participant is someone in the elderly age group above 60 years.
The second participant is in the middle-aged group below 60 years.
Analyzing the quotes collected from the Dutch Top 2000 in Dijk’s study, I categorized overarching themes as keywords based on the context of the comments: mood, memory, technology, family, and collective. I found that these keywords often overlap with each other because memories are complex and can contain the other keywords within it. For example: one comment encompassed a memory of listening to music with friends with iPods in the car. By recognizing these keywords as well as how they overlap, I got information about how to execute features to allow users of my app to express their memories with music.
From the case study on user experiences with the Spotify app, I learned what users liked about the app and what they thought was lacking in their listening experience with the app. Materially, users can archive and save their favorite music to return to later. Emotionally, users create playlists to record memories, reflect emotions, or express phases in their life. By understanding how users feel about playlists, I can develop a way to enhance the experience of creating playlists to the users of my app.
I learned from these interviews that there is a special difference between the experiences of listening to music in a group compared to in private. In a group, the experience is remembered as a fond memory involving friends and the technology used during that time. Individually, the experience is more personal, involving daily life routines or reflecting one’s mood. By understanding these differences in music experiences, I can develop a better understanding of the user personas I will create that will use my app.
I created three user personas to represent the users I intend to target with the app I will create. Below is one of the three personas.
Grace is looking to make a playlist to reflect her current R&B music phase and discuss her song choices for the playlist. She knows many music listening apps have a playlist feature, but they are limited in just being a collection of songs. She wants to be able to discuss why she added each song in her playlist. During an online search, she stumbles upon Rhythmry, a music discussion app that encourages creating meaningful playlists curated by users. Grace launches the app and searches for her current favorite songs. After finding a song, she taps on the option to add it to a new playlist. The playlist creation screen comes up with a number of options. The playlist lists out some suggestions for the playlist’s theme and title based on her initial song addition. She chooses the “R&B” option for the genre and titles the playlist “Moody R&B Phase”. She gives the playlist a simple description: “R&B that reaches my soul.” At the bottom of the screen is a box to add a description for the song she is adding to the playlist. She writes “I was feeling pretty down on the day I listened to this song. I spent the day alone with no one to talk to and listened to music to pass time. The lyrics for this song felt like a reflection of my mood that day so it was comforting. I couldn’t get the song out of my head for the next few days so I knew I had to remember this one.” The playlist auto-saves her edits. Grace taps on the option to add another song and begins her next search.
The following is a skeletal view of the features the app will have, including common features among music apps. The focus of the app will be on the playlist creation experience, so more attention will be on this feature.
The main task is “How to Curate a Playlist.” The following are subtasks to achieve the main task.
The user can enter the playlist editor by either tapping the plus button to add a new playlist or tapping a create button next to a featured playlist prompt.
The user can navigate to the Search page from the Playlist Creator by tapping the plus button to “Add Song”. In the Search page, the user can either search using the search bar or by categories listed in “Moods & Genres” below the search bar. After finding a track, the user can listen to it and tap on “Add to Playlist” to add it and return to the Playlist Creator screen.
The user can enter a description for the track added. There are two options below the track description box: “Confirm” and “Add Highlight”. “Confirm” saves the track description. “Add Highlight” button will cause a popup asking the user if they would like to create a music highlight. This feature allows the user to select a certain part of the track they want to feature in their playlist. The user can choose from several options or manually create the part they want to highlight. The user may either confirm or cancel this process. The user can save the playlist or continue adding more tracks.
This wireflow features 4 main scenes: Home, Search, Library, and Playlist Creator. The bottom of the screen has a navigation bar to navigate to Home, Search, and Library. Home welcomes the user and features the user’s playlists and featured prompts to begin playlist creation. The user is taken to the Playlist Creator screen when creating a new playlist. Playlist Creator has user input for the playlist’s title and description. The user can add tracks on this screen by tapping “Add Song” in the Playlist Creator screen. Search has a search bar for users to type in. Below the search bar are several categories if users wish to search categorically instead of directly looking for a specific track. After typing in a search query, tracks that match or are related to their query are listed. Next to the track is an option to add to the playlist. Tapping the add button takes the user back to Playlist Creator. The user can add a description or create a highlight to feature for the added track. The highlight feature allows the user to choose a part of the track to highlight. There will be options for suggested highlights, or the user can manually create it. After confirming track description and/or highlight, the user can continue to add more tracks or save their playlist to exit editing mode. Library shows the user’s created playlists and playlists they have liked from other users on the platform.
User 1 was able to complete the task smoothly. It was obvious that the plus symbol on the front page meant to create a new playlist. The user navigated to the Playlist Creator screen. The user used the plus symbol again to add a song from the search page. After adding a song, the user returns to the Playlist Creator screen. The user tapped “Confirm”, “Save”, then completed the task.
User 1 made the following comments:
User 1's suggestions:
Other UI elements make sense and are easy to navigate. User 1 appeared to have no problem completing the task.
User 2 was able to complete the task smoothly. User 2 was also more curious about the “Add Highlight” function. The user navigated to the Playlist Creator screen. The user used the plus symbol again to add a song from the search page. After adding a song, the user returns to the Playlist Creator screen. The user tapped “Add Highlight” and expressed surprise and wonder at the options that appeared for choosing a “highlight”. The user tapped “Confirm” and “Save.” The user also tested the “Edit” button which brought the user back to the editing mode for the playlist.
User 2 made the following comments:
User 2’s suggestions:
Other UI elements make sense and are easy to navigate. The user appeared to have no problem completing the task.
Both users had little to no difficulty in completing the task of “Creating and Editing a Playlist.” One user was only focused on creating the playlist and adding a song. The other user was curious about the additional function of adding a “Highlight” and experimented with that button.
One user suggested some minor changes to improve the user experience and improve clarity to the app’s usage. I will take the following considerations to mind in my next modifications:
For interface design, I first conducted research on recommended design features for mobile devices. Some design features may need to be adjusted since mobile devices are smaller than a desktop screen and screen viewing experience varies among users. Some features to take note of for mobile app design include font size, layout, and simplicity.
Version 1 was created in Figma. Figma offers a wide range of font families to choose from, layout tools, and plugins that can check for color accessibility standards.
I created a Version 2 of the Design Interface System in preparation for transitioning to the high fidelity prototype. For the high fidelity prototype, I plan to use Adobe XD. Adobe XD offers similar functionality, tools, and plugins as Figma for designing interfaces. However, using Adobe Creative Cloud offers even more access to designs and tools exclusive to Adobe.
I created a fleshed out version of one of the screens of the app for a user impression test. In the user impression test, I asked the following questions:
Participants described the interface as simple and personalized. One participant mentioned the interface was functional, but felt a little cluttered and elaborated in the additional feedback. The participant said the navigation bar could be hidden while editing the playlist and a back button is enough. The participant further suggested that to reduce the clutter, make the descriptions minimized. The descriptions can have a function to be expanded for detailed reading. I will consider this design when the playlist is outside of editing mode. One participant noted that the song description feature may be meaningful to a niche audience.
Based on user feedback from the low-fidelity prototype wireflow test and impression test on a sample frame with Version 1’s Design Interface System, I made the following modifications:
I conducted a pilot test of my app’s high fidelity prototype with a classmate my age who I know is a frequent user of music apps. I received encouraging feedback from the test about the current state of the prototype.
After reviewing the feedback from the usability test for Version 1 and recommendations made by my mentor for this project, I made some design changes to the prototype and slightly modified the task scenarios for usability testing.
Below is an overview of the high-fidelity prototype Version 2:
For Version 2’s usability test, I modified how the task scenarios were explained. Version 1’s task scenarios listed the steps to complete the task. I want to know if the user can replicate those steps without being explicitly told what they are. The modified task scenarios are as follows:
The participant for Version 2’s usability test is another classmate who is an active user of music apps. I received more valuable feedback about the prototype from this test.
While researching for this project, I learned a lot more about the nuances and complex relationships between music and the emotions and memories it can evoke in listeners. I further explored this by conducting preliminary user interviews to learn about what music means to people. These helped me generate a few ideas to try as features in my app to enhance the personalization experience. I first approached this goal by observing the features of other music apps. I found that many music apps share similar features, but each one has a feature or select set of features they have that sets them apart from other music apps. I then began designing the app.
During the design process, I encountered some difficulties.
To further improve this project in the future, there are a few changes that can be made to the app’s design.
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