The purpose of this study was to investigate what useful and meaningful interaction patterns that could be found in raw log files from a digital tabletop at a museum exhibit and what they could tell about the users’ experiences interacting with the digital tabletop. The data was collected during a period of four and a half month. The data was processed and interpreted by a custom made parser programmed in Python. The interpretations are based on previously well-used and proven measures of visitor attention at museum exhibits. According to the parser, the data consisted of 2686 user sessions, which are spread out over the data collection period. The results of those sessions are consistent with ones from a shorter observational study conducted to validate the results from the parser. The output from the parser was analyzed by answering three questions regarding the possibility to predict the length of a user session based on what was happening during the first or last seconds of a session or based on what was happening during a whole session. To calculate this, multiple linear regression with Bootstrap through the backward method was used on the three different data sets. The results showed that there are interactions that happen during a session that seems to indicate how long the session will become. Nothing conclusive could be said about predicting the session duration from the log data because there was no clear linear relationship between the chosen predictor variables and the session duration. That being said, the study showed that it is still possible to find meaningful user patterns in raw data files that can be used to gain an understanding of the user experiences when interacting with the digital tabletop.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-190613 |
| Date | January 2022 |
| Creators | Svensson, Cassandra |
| Publisher | Linköpings universitet, Institutionen för datavetenskap |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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