Analysis of Dark Patterns in UI/UX Elements of Digital Platforms
5.35 billion people (the equivalent of 66.2 percent of the world’s population) are using the internet as of January 2024. As the number of users on the internet is growing and the attention span of an internet user has reduced to 8 seconds, one of the challenges that digital businesses face is acqui...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/155501 |
| _version_ | 1811095517091856384 |
|---|---|
| author | Jain, Anukriti |
| author2 | Hu, Antonio (Tony) |
| author_facet | Hu, Antonio (Tony) Jain, Anukriti |
| author_sort | Jain, Anukriti |
| collection | MIT |
| description | 5.35 billion people (the equivalent of 66.2 percent of the world’s population) are using the internet as of January 2024. As the number of users on the internet is growing and the attention span of an internet user has reduced to 8 seconds, one of the challenges that digital businesses face is acquiring, engaging, and retaining users for their products/services. Some companies employ user interface elements on their websites or apps to trick users into signing up or buying a product. Dark patterns are the tricks used by apps and websites that push users into doing things they didn’t intend to, like signing up for a service or making a purchase.
This thesis covers different types of dark patterns, including roach motel, malicious nudging, urgency/scarcity, bait and switch, and confirm-shaming. Dark patterns are also organized into “pressure” and “trickery” categories. Companies leverage dark patterns to meet their business goals, but it is critical to understand the long-term impact of using dark patterns. This thesis explores the possibility of helping users find these patterns and making them vigilant about these dark patterns. These deceptive patterns are common in web flows and are not easily detectable for many people visiting websites. There is a need to build an intervention to create consciousness about dark patterns. This thesis aims to make users aware of dark patterns by building a Chrome extension that will focus users' attention on the information provided and make them aware of dark patterns. First, we will focus on developing a Chrome extension for detecting scarcity/urgency dark patterns. |
| first_indexed | 2024-09-23T16:18:20Z |
| format | Thesis |
| id | mit-1721.1/155501 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T16:18:20Z |
| publishDate | 2024 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/1555012024-07-09T03:03:32Z Analysis of Dark Patterns in UI/UX Elements of Digital Platforms Jain, Anukriti Hu, Antonio (Tony) System Design and Management Program. 5.35 billion people (the equivalent of 66.2 percent of the world’s population) are using the internet as of January 2024. As the number of users on the internet is growing and the attention span of an internet user has reduced to 8 seconds, one of the challenges that digital businesses face is acquiring, engaging, and retaining users for their products/services. Some companies employ user interface elements on their websites or apps to trick users into signing up or buying a product. Dark patterns are the tricks used by apps and websites that push users into doing things they didn’t intend to, like signing up for a service or making a purchase. This thesis covers different types of dark patterns, including roach motel, malicious nudging, urgency/scarcity, bait and switch, and confirm-shaming. Dark patterns are also organized into “pressure” and “trickery” categories. Companies leverage dark patterns to meet their business goals, but it is critical to understand the long-term impact of using dark patterns. This thesis explores the possibility of helping users find these patterns and making them vigilant about these dark patterns. These deceptive patterns are common in web flows and are not easily detectable for many people visiting websites. There is a need to build an intervention to create consciousness about dark patterns. This thesis aims to make users aware of dark patterns by building a Chrome extension that will focus users' attention on the information provided and make them aware of dark patterns. First, we will focus on developing a Chrome extension for detecting scarcity/urgency dark patterns. S.M. 2024-07-08T18:55:29Z 2024-07-08T18:55:29Z 2024-05 2024-06-11T19:47:11.620Z Thesis https://hdl.handle.net/1721.1/155501 In Copyright - Educational Use Permitted Copyright retained by author(s) https://rightsstatements.org/page/InC-EDU/1.0/ application/pdf Massachusetts Institute of Technology |
| spellingShingle | Jain, Anukriti Analysis of Dark Patterns in UI/UX Elements of Digital Platforms |
| title | Analysis of Dark Patterns in UI/UX Elements of Digital Platforms |
| title_full | Analysis of Dark Patterns in UI/UX Elements of Digital Platforms |
| title_fullStr | Analysis of Dark Patterns in UI/UX Elements of Digital Platforms |
| title_full_unstemmed | Analysis of Dark Patterns in UI/UX Elements of Digital Platforms |
| title_short | Analysis of Dark Patterns in UI/UX Elements of Digital Platforms |
| title_sort | analysis of dark patterns in ui ux elements of digital platforms |
| url | https://hdl.handle.net/1721.1/155501 |
| work_keys_str_mv | AT jainanukriti analysisofdarkpatternsinuiuxelementsofdigitalplatforms |