{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/42123"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/42123","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"A mobile phone GuiDE : a GUI Decoder and Enricher","abstract":"Much information can be obtained from knowing what tasks the user does on his or her cell phone. This paper describes GuiDE, an automated user-activity recognition system on the mobile phone. GuiDE's unique approach to activity recognition exploits GUI screenshots taken as the individual interacts with their cell phone. These screenshots are aggregated into a graph to help probabilistically determine whether or not a set of screenshots can be considered a user-level activity. A frequency count of different sets of screenshots is also kept to act as a sanity check against the probabilistic result. GuiDE is just a partial step towards a much more powerful tool that can correlate GUI information with other services to provide a better understanding of user activity.","abstract_html":"Much information can be obtained from knowing what tasks the user does on his or her cell phone. This paper describes GuiDE, an automated user-activity recognition system on the mobile phone. GuiDE's unique approach to activity recognition exploits GUI screenshots taken as the individual interacts with their cell phone. These screenshots are aggregated into a graph to help probabilistically determine whether or not a set of screenshots can be considered a user-level activity. A frequency count of different sets of screenshots is also kept to act as a sanity check against the probabilistic result. 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