Developing shared home behavior datasets to advance HCI and ubiquitous computing research

ABSTRACT

Researchers in human-computer interaction and allied fields are increasingly interested in using new sensing capabilities to create context-aware interfaces and devices for the home. Data from sensors worn on the body or installed in an environment can be used by algorithms to infer what activities the home occupant may be engaged in and enable applications to respond accordingly. This one-day CHI'09 workshop would convene a multidisciplinary group of researchers to discuss strategies for creating community resources that might accelerate research on development of home technologies. In particular, the participants will discuss how to collaboratively gather high quality synchronized data streams from real homes, as well as qualitative material about home occupants and their behaviors. The resultant datasets could facilitate work on context modeling and enable researchers in other areas of HCI to explore contextual factors influencing the use of technology in naturalistic settings. The outcome of the workshop will be a community index of existing shared datasets of home behavior and guidelines for those interested in creating and disseminating new datasets.

REFERENCES

• 1: List of sensor datasets: http://web.mit.edu/datasets/Resources.html
• 2: B. Logan, J. Healey, Matthai Philipose, E. Munguia Tapia, and S. Intille, "A long-term evaluation of sensing modalities for activity recognition," in Proceedings of the International Conference on Ubiquitous Computing, vol. LNCS 4717. Berlin Heidelberg: Springer-Verlag, 2007, pp. 483--500.
• 3: Placelab dataset: http://architecture.mit.edu/house_n/data/PlaceLab/PlaceLab.htm.
• 4: Christopher R. Wren , Yuri A. Ivanov , Darren Leigh , Jonathan Westhues, The MERL motion detector dataset, Proceedings of the 2007 workshop on Massive datasets, p.10-14, November 15-15, 2007, Nagoya, Japan [doi>10.1145/1352922.1352926]

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.5 On-line Information Services
          Subjects: Data sharing

General Terms:
Human Factors

Keywords:
activity modeling, analysis tools, applications, community sharing, context aware computing, data navigation, living laboratories, sensors