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We believe that a ‘casual information visualization’ approach can prove valuable for making this personal information available to their creators. In this paper we analyze the data domain of listening histories and present our findings on their structure and what possible user tasks and available patterns it might contain. Additional contextual information can trigger the memory of the user to reveal the reasons for listening decisions. As a second contribution, we give an overview of LastHistory, a visualization of personal listening his- tories from Last.fm that not only allows sophisticated analysis of the underlying data in a non-threatening way, but is also able to show contextual information in the form of photos and calendar entries to help the user remember this time of his or her life. – Dominikus Baur

LastHistory

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We believe that a ‘casual information visualization’ approach can prove valuable for making this personal information available to their creators. In this paper we analyze the data domain of listening histories and present our findings on their structure and what possible user tasks and available patterns it might contain. Additional contextual information can trigger the memory of the user to reveal the reasons for listening decisions. As a second contribution, we give an overview of LastHistory, a visualization of personal listening his- tories from Last.fm that not only allows sophisticated analysis of the underlying data in a non-threatening way, but is also able to show contextual information in the form of photos and calendar entries to help the user remember this time of his or her life. – Dominikus Baur

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