%0 Conference Paper %1 045256c060b94196b9bd3d3d73b89135 %A Schmalfuß-Schwarz, Jan %A Loitsch, Claudia %A Weber, Gerhard %B Universal Access in Human-Computer Interaction - 17th International Conference, UAHCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings %C Switzerland %D 2023 %E Antona, Margherita %E Stephanidis, Constantine %I Springer Nature Switzerland, Dortrecht u. a. %K area_responsibleai FIS_scads accessibility, crowdsourcing, disabilities geographic inclusive indoor information, maps, mobility, people volunteered with %P 477--488 %R 10.1007/978-3-031-35681-0_32 %T Usage of Self-Motivating Achievements to Collect Accessibility Information of Indoor Environments. %X Orientation and finding ways in buildings are particular challenges for people with disabilities. To cope with these obstacles, open accessible indoor maps enriched with accessibility information are required. To generate these is both a time-consuming and knowledge-intensive task 6 One possible solution is the use of volunteers who collect freely accessible map data. To support so-called mappers in this process, appropriate user-centered applications are needed, that guide and motivate those who collect them in the acquisition. Therefore, we present the results and their conclusions from a study carried out in the German-speaking area, which was primarily aimed at active mappers from the OpenStreetMap community.

@inproceedings{045256c060b94196b9bd3d3d73b89135, abstract = {Orientation and finding ways in buildings are particular challenges for people with disabilities. To cope with these obstacles, open accessible indoor maps enriched with accessibility information are required. To generate these is both a time-consuming and knowledge-intensive task [6] One possible solution is the use of volunteers who collect freely accessible map data. To support so-called mappers in this process, appropriate user-centered applications are needed, that guide and motivate those who collect them in the acquisition. Therefore, we present the results and their conclusions from a study carried out in the German-speaking area, which was primarily aimed at active mappers from the OpenStreetMap community.}, added-at = {2024-11-28T16:27:18.000+0100}, address = {Switzerland}, author = {Schmalfu{\ss}-Schwarz, Jan and Loitsch, Claudia and Weber, Gerhard}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/2bb81d73bab97f4c034eefd187d73a9dd/scadsfct}, booktitle = {Universal Access in Human-Computer Interaction - 17th International Conference, UAHCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings}, doi = {10.1007/978-3-031-35681-0_32}, editor = {Antona, Margherita and Stephanidis, Constantine}, interhash = {9f8176885e00b43f61ca828f9828a3c2}, intrahash = {bb81d73bab97f4c034eefd187d73a9dd}, keywords = {area_responsibleai FIS_scads accessibility, crowdsourcing, disabilities geographic inclusive indoor information, maps, mobility, people volunteered with}, language = {English}, note = {Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.}, pages = {477--488}, publisher = {Springer Nature Switzerland, Dortrecht [u. a.]}, timestamp = {2024-11-28T17:40:55.000+0100}, title = {Usage of Self-Motivating Achievements to Collect Accessibility Information of Indoor Environments.}, year = 2023 }