Abstract
Ubicomp/HCI researchers are increasingly using smartphones to collect human-labelled data 'in the wild'. While this allows for the collection of a wide range of interesting data in authentic settings and surroundings, humans are notoriously inconsistent in the quality of their contributions. Improving the quality of data collected with mobile devices is a largely unexplored, but highly relevant field. The primary objective of this workshop is to share insights, ideas, and discoveries on the quality of mobile human contributions. The work presented in the International Workshop on Mobile Human Contributions (MHC '18) explores methods, tools, and novel approaches towards increasing the reliability of human data submissions with mobile devices.
| Original language | English |
|---|---|
| Title of host publication | UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers |
| Number of pages | 4 |
| Publisher | Association for Computing Machinery, Inc. |
| Publication date | 2018 |
| Pages | 590-593 |
| ISBN (Electronic) | 9781450359665 |
| DOIs | |
| Publication status | Published - 2018 |
| Externally published | Yes |
| Event | 2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018 - Singapore, Singapore Duration: 8 Oct 2018 → 12 Oct 2018 |
Conference
| Conference | 2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018 |
|---|---|
| Country/Territory | Singapore |
| City | Singapore |
| Period | 08/10/2018 → 12/10/2018 |
| Sponsor | ACM SIGCHI, ACM SIGMOBILE |
Keywords
- Citizen science
- Crowdsourcing
- Data quality
- Experience sampling
- Human sensing
- In situ
- Mobile devices