Ethno-Mining: Integrating Numbers and Words from the Ground Up

In this paper we present ethno-mining, a mixed methods approach drawing on techniques from ethnography and data mining. Ethno-mining is characterized by tight, iterative loops that integrate both the results and the processes of ethnographic and data mining techniques to interpret data. Ethno-mining provides two key benefits. First, it makes use of both qualitative and quantitative data (e.g. observations and sensor data) to study phenomena that are practically inaccessible through either data type alone. Second, it provides a means of interpreting that data which produces novel insights by exposing the biases inherent in either type of data alone. We present ethno-mining in the context of a study of mobility and laptop use in the home, discussing how findings from the study relate to the use of the method. Author

[1]  Svetha Venkatesh,et al.  Recognition of emergent human behaviour in a smart home: A data mining approach , 2007, Pervasive Mob. Comput..

[2]  interactions Staff,et al.  CHI 2005 , 2005 .

[3]  Sunita Sarawagi,et al.  User-Adaptive Exploration of Multidimensional Data , 2000, VLDB.

[4]  Gregory D. Abowd,et al.  PowerLine Positioning: A Practical Sub-Room-Level Indoor Location System for Domestic Use , 2006, UbiComp.

[5]  Miguel P Caldas,et al.  Research design: qualitative, quantitative, and mixed methods approaches , 2003 .

[6]  S. Hormuth The sampling of experiences in situ , 1986 .

[7]  Paul Dourish,et al.  Re-place-ing space: the roles of place and space in collaborative systems , 1996, CSCW '96.

[8]  Morgan G. Ames,et al.  The Social Life of Cameraphone Images , 2007 .

[9]  A. Kellerman,et al.  The Constitution of Society : Outline of the Theory of Structuration , 2015 .

[10]  Robert Axelrod,et al.  Advancing the art of simulation in the social sciences , 1997, Complex..

[11]  Gregory D. Abowd,et al.  Farther Than You May Think: An Empirical Investigation of the Proximity of Users to Their Mobile Phones , 2006, UbiComp.

[12]  Allison Woodruff,et al.  A Quantitative Method for Revealing and Comparing Places in the Home , 2006, UbiComp.

[13]  Kenneth T. Anderson,et al.  D ESIGN M ANAGEMENT J OURNAL Design Ethnography , 1999 .

[14]  A. Strauss,et al.  Basics of Qualitative Research , 1992 .

[15]  Deborah D. Heisley,et al.  Autodriving: A Photoelicitation Technique , 1991 .

[16]  Allison Woodruff,et al.  Maps of Our Lives : Sensing People and Objects Together in the Home , 2005 .

[17]  Danah Boyd,et al.  Vizster: visualizing online social networks , 2005, IEEE Symposium on Information Visualization, 2005. INFOVIS 2005..

[18]  Alex Pentland,et al.  Reality mining: sensing complex social systems , 2006, Personal and Ubiquitous Computing.

[19]  Jennifer Mankoff,et al.  When participants do the capturing: the role of media in diary studies , 2005, CHI.

[20]  Emmanuel,et al.  Activity recognition in the home setting using simple and ubiquitous sensors , 2003 .

[21]  Allison Woodruff,et al.  Portable, But Not Mobile: A Study of Wireless Laptops in the Home , 2007, Pervasive.

[22]  E. Goffman Behavior in public places : notes on the social organization of gatherings , 1964 .

[23]  T. Jick Mixing Qualitative and Quantitative Methods: Triangulation in Action. , 1979 .

[24]  Steve Benford,et al.  Supporting ethnographic studies of ubiquitous computing in the wild , 2006, DIS '06.

[25]  Daisy Zhe Wang,et al.  Probabilistic Data Management for Pervasive Computing: The Data Furnace Project , 2006, IEEE Data Eng. Bull..