Abstract
This course will introduce computational methods in HCI. As interfaces become more sophisticated, designing them requires an exponentially expanding set of design decisions to be made. Hand-tuning can only explore a tiny fraction of the design space. Computational approaches are needed to delegate the minutiae of design and empower HCI researchers in building sophisticated, robust interfaces quickly and reliably. This course will introduce optimization and inference as core tools in HCI.
Original language | English |
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Pages | 1182-1185 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 6 May 2017 |
MoE publication type | Not Eligible |
Event | ACM SIGCHI Annual Conference on Human Factors in Computing Systems - Colorado Convention Center, Denver, United States Duration: 6 May 2017 → 11 May 2017 Conference number: 35 https://chi2017.acm.org/ |
Conference
Conference | ACM SIGCHI Annual Conference on Human Factors in Computing Systems |
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Abbreviated title | ACM CHI |
Country/Territory | United States |
City | Denver |
Period | 06/05/2017 → 11/05/2017 |
Internet address |
Keywords
- Computational
- Inference
- Machine learning
- Optimization