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Optimizing the reading experience for an interpersonal network map

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dc.contributor Aalto University en
dc.contributor Aalto-yliopisto fi
dc.contributor.advisor none, none
dc.contributor.author Chien, Yu-Chao
dc.date.accessioned 2019-07-14T17:00:34Z
dc.date.available 2019-07-14T17:00:34Z
dc.date.issued 2019
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/39272
dc.description.abstract This Master of Art thesis aims to optimize the reading experience for an interpersonal network map in mobile devices, the reason for focusing on mobile devices, is based on the 2017 Pew Research Center report, 85% of U.S adults now get their news on a mobile device, and from the research of Eric Enge, mobile usage in total internet traffic reached 63% in 2017 in the US. The trend of mobile-centered seems to continuously grow in the near future. During the literature review and the user studies, it provided a fundamental knowledge base of how user interact and respond to the graphical user interface in sociogram. The findings offer the framework of the prototype. Visual experiments of the interpersonal network map and user interface wireframes had gone through rounds of design iteration with the user group closely. Target user validations and prototype testing provide positive result. At last, the research question was answered. The design and development team can follow those practical design guidelines (A) Personalization: customized to personal need and expectation (B) Environmental adaptation system: automatically switch the brightness and the UI color contrast, based on the reading environment or reader’s personal preference. (C) Automatic Map tutorial: lowering the learning curve for readers. (D) Minimize cognitive load: with limited information shown, improve the efficiency of reading. (E) Organic visual language: easier for the user to connect the visuals with the human relationship. (F) Incentivize reading experience: give the user a timely respond on certain interaction. Those design guidelines for the interpersonal network map in mobile devices, can also be applied for other related areas, particularly in displaying infographic in digital mobile devices. en
dc.format.extent 75
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.title Optimizing the reading experience for an interpersonal network map en
dc.type G2 Pro gradu, diplomityö fi
dc.contributor.school Taiteiden ja suunnittelun korkeakoulu fi
dc.contributor.school School of Arts, Design and Architecture en
dc.contributor.department Department of Design en
dc.contributor.department Muotoilun laitos fi
dc.subject.keyword data visualization en
dc.subject.keyword network map en
dc.subject.keyword user interface design en
dc.subject.keyword infographic en
dc.subject.keyword sociogram en
dc.subject.keyword mobile UI en
dc.identifier.urn URN:NBN:fi:aalto-201907144336
dc.type.ontasot Master's thesis en
dc.type.ontasot Maisterin opinnäyte fi
dc.contributor.supervisor Mc Grory, Peter
dc.programme Collaborative and Industrial Design en
dc.location P1 OPINNÄYTTEET D 2019 Chien
local.aalto.barcode 1210015719

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