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An empirical study to design interactions with historical buildings used for everyday activities

Title data

Hirsch, Linda ; Buschek, Daniel ; Einwächter, Eileen ; Bekker, Louisa ; Butz, Andreas:
An empirical study to design interactions with historical buildings used for everyday activities.
In: Proceedings of the 20th International Conference on Culture and Computer Science : Code and Materiality ; KUI '23. - New York, NY, USA : Association for Computing Machinery , 2023 . - 8
ISBN 979-8-4007-0836-7
DOI: https://doi.org/10.1145/3623462.3624635

Official URL: Volltext

Project information

Project title:
Project's official title
Project's id
AI Tools - Continuous Interaction with Computational Intelligence Tools
No information

Abstract in another language

Many historical buildings are challenged to comply with their dual purpose of being society's living memory and being used for everyday activities, such as a place to work or study. Direct interactions with such buildings could counteract this challenge and integrate their historical significance with contemporary needs. However, there is a lack of knowledge about designing this. We approached the gap in an iterative design process by conducting four expert interviews and two building walks with N=16 building users at a public historical building. Our results highlight the importance for building users to integrate historical significance and contemporary needs into their routines to increase their connection to the building and its past users. We provide three design implications for designing the interaction with historical buildings in everyday life and emphasize research implications for future projects. Our findings emphasize the need for interdisciplinary collaboration between Human-computer interaction research areas.

Further data

Item Type: Article in a book
Refereed: Yes
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science IX > Chair Applied Computer Science - Univ.-Prof. Dr. Daniel Buschek
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 18 Jan 2024 10:04
Last Modified: 18 Jan 2024 10:04
URI: https://eref.uni-bayreuth.de/id/eprint/88274