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DOI :
Journal Korea Society of Visual Design Forum , Vol.82, No.0, 217 ~ 226, 2024
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| Title |
| A Comparative Study of Dark Pattern Design Perception and User Experience by Interaction Type of Conversational Interface - Focused on Voice and Text Interaction - |
| 한지수 Jisoo Han , 장수용 Suyong Jang , 김은솔 Eunsol Kim , 오창훈 Changhoon Oh |
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| abstract |
| Background As LLM-based AI technology advances, conversational interfaces are evolving into services that provide voice and text interaction together. However, most of the dark pattern research is centered on visual interfaces such as text, and there is a lack of research on dark patterns in voice interfaces. Therefore, this study aims to investigate the perception of dark patterns in interactive interfaces by interaction type and their impact on user experience.
Methods This study sought to understand whether the type of interaction and inclusion of dark patterns in conversational AI affects perceived maliciousness, usability, trust, and intention to continue using it. The experiment was conducted with using 2X2 within-group design with surveys and post-interviews for each dependent variable, and a conversational AI prototype.
Result The study found that type of interaction and the inclusion of dark patterns had interactive effects on maliciousness and usability, with the two tending to be opposite. For maliciousness, voice interactions were more malicious than chat interactions when dark patterns were included. For usability, the inclusion of dark patterns resulted in higher usability for chat interactions than for voice interactions.
Conclusion The significance of this study is that, unlike previous studies on user experience with dark patterns in visual interfaces, this study examined user experience with dark pattern design in auditory interfaces to verify differences in perception and user experience with dark patterns based on interface type. |
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| Key Words |
| 인터랙션, 다크패턴, 사용자 경험, Interaction, Dark Patterns, User Experience |
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