Name
Abstract | ||
|---|---|---|
In this paper, we analyze game protocols for a Memo game for elderly users. We show how we can use generative statistical models to automatically reveal different playing strategies. We present a quantitative and qualitative evaluation of the approach on simulated and real data. We show that we can reliably detect different strategies and that we can use those strategy profiles to uncover relevant information on the players beyond pure performance measures. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/SMC.2015.170 | 2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS |
Keywords | Field | DocType |
mental model, memory, cognitive and social activation, elderly users, dementia | Computer science,Artificial intelligence,Statistical model,Generative grammar,Machine learning | Conference |
ISSN | Citations | PageRank |
1062-922X | 0 | 0.34 |
References | Authors | |
4 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Felix Putze | 1 | 205 | 29.73 |
| T. Schultz | 2 | 2423 | 252.72 |
| Sonja Ehret | 3 | 0 | 0.34 |
| Heike Miller-Teynor | 4 | 0 | 0.34 |
| Andreas Kruse | 5 | 0 | 0.34 |