A Holistic Approach: Personalizing Large Semi-Public Displays for Intercultural Groups
| dc.contributor.author | Stojko, Laura | |
| dc.date.accessioned | 2024-08-21T11:08:39Z | |
| dc.date.available | 2024-08-21T11:08:39Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Personalizing user interfaces increases usability and user experience. Focusing on large-semi public displays as technology that shares its user interface with diverse people raises the question of whether and how personalization can occur and what kind of user involvement can be expected. Considering cultural design preferences for personalization is especially interesting, as it has been shown to increase usability within single-user applications. Therefore, this paper summarizes and clarifies the potential of personalization and user involvement in combination with large semi-public displays, which should be used by several users, considering cultural design preferences, and describes the challenges in this process. As a result, 15 culturally relevant user interface aspects were identified and assigned to personalization paradigms for a holistic analysis of their potential. This result provides a general basis for cultural adaptations and discussions about user involvement in the design process of large semi-public displays. | en |
| dc.identifier.doi | 10.18420/muc2024-mci-ws11-201 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/44328 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Mensch und Computer 2024 - Workshopband | |
| dc.relation.ispartofseries | Mensch und Computer | |
| dc.rights | https://creativecommons.org/licenses/by/4.0/ | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.title | A Holistic Approach: Personalizing Large Semi-Public Displays for Intercultural Groups | en |
| dc.type | Text/Workshop Paper | |
| gi.conference.date | 1.-4. September 2024 | |
| gi.conference.location | Karlsruhe | |
| gi.conference.sessiontitle | MCI-WS11: ABIS 2024 - International Workshop on Personalization and Recommendation |
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