Abstract
We propose a topic-based activity review application that supports knowledge workers in reviewing activity history. This application automatically generates a knowledge work lifelog with event detection from sensor information, operation history, and used documents on a terminal; annotation term extraction considering topic estimation and collocation extraction; topic title extraction; and topic-based activity time calculation. This application enables activity review with a timeline view and activity overview with a calendar/graph view. According to an empirical evaluation with five subjects, we confirmed that the term extraction method is efficient for lifelog annotation and topic title extraction. We also identified challenges concerning determination of detailed activity time.
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Bjellerup, P., Cama, K.J., Desikan, M., Guo, Y., Kale, A.G., Lai, J.C., Lethif, N., Lu, J., Topkara, M., Wissel, S.H.: FALCON: seamless access to meeting data from the inbox and calendar. In: 19th ACM Conference on Information and Knowledge Management (CIKM 2010), pp. 1951–1952. ACM, New York (2010)
Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003)
Frantzi, K.T., Ananiadou, S.: Extracting nested collocations. In: The 16th International Conference on Computational Linguistics (COLING 1996), vol. 1, pp. 41–46. Association for Computational Linguistics, Stroudsburg (1996)
Griffiths, T., Steyvers, M.: Finding Scientific Topics. Proc. Natl. Acad. Sci. USA 101, 5228–5235 (2004)
Kudo, T., Yamamoto, K., Matsumoto, Y.: Appliying Conditional Random Fields to Japanese Morphological Analysis. In: 2004 Conference on Empirical Methods in Natural Language Processing (EMNLP 2004), Barcelona, Spain, pp. 230–237 (2004)
Mirza, H.T., Chen, L., Chen, G., Hussain, I., He, X.: Switch Detector: An Activity Spotting System for Desktop. In: 20th ACM Conference on Information and Knowledge Management (CIKM 2011), pp. 2285–2288. ACM, New York (2011)
Okamoto, M., Iketani, N., Nishimura, K., Kikuchi, M., Cho, K., Hattori, M.: Finding two-level interpersonal context: proximity and conversation detection from personal audio feature data. In: 9th Annual Conference of the International Speech Communication Association (Interspeech 2008), Brisbane, Australia, pp. 2482–2485 (2008)
Okamoto, M., Watanabe, N., Nagano, S., Cho, K.: Annotating Knowledge Work Lifelog: Term Extraction from Sensor and Operation History. In: 20th ACM Conference on Information and Knowledge Management (CIKM 2011), pp. 2581–2584. ACM, New York (2011)
Porteous, I., Newman, D., Ihler, A., Asuncion, A., Smyth, P., Welling, M.: Fast collapsed gibbs sampling for latent dirichlet allocation. In: 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2008), pp. 569–577. ACM, New York (2008)
Shen, J., Irvine, J., Bao, X., Goodman, M., Kolibaba, S., Tran, A., Carl, F., Kirschner, B., Stumpf, S., Dietterich, T.G.: Detecting and correcting user activity switches: algorithms and interfaces. In: 14th International Conference on Intelligent User Interfaces (IUI 2009), pp. 117–126. ACM, New York (2009)
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Okamoto, M. (2014). Topic-by-Topic Activity Estimation for Knowledge Work Lifelog. In: Yuizono, T., Zurita, G., Baloian, N., Inoue, T., Ogata, H. (eds) Collaboration Technologies and Social Computing. CollabTech 2014. Communications in Computer and Information Science, vol 460. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44651-5_3
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DOI: https://doi.org/10.1007/978-3-662-44651-5_3
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