TY - GEN
T1 - MindMine comment analysis tool for collaborative attitude solicitation, analysis, sense-making and visualization
AU - Romano, Nicholas C.
AU - Bauer, Christina
AU - Chen, Hsinchun
AU - Nunamaker, Jay F.
PY - 2000
Y1 - 2000
N2 - This paper describes a study to explore the integration of Group Support Systems (GSS) and Artificial Intelligence (AI) technology to provide solicitation, analytical, visualization and sense-making support for attitudes from large distributed marketing focus groups. The paper describes two experiments and the concomitant evolutionary design and development of an attitude analysis process and the MindMine Comment Analysis Tool. The analysis process circumvents many of the problems associated with traditional data gathering via closed-ended questionnaires and potentially biased interviews by providing support for online free response evaluative comments. MindMine allows teams of raters to analyze comments from any source, including electronic meetings, discussion groups or surveys, whether they are Web-based or same-place. The analysis results are then displayed as visualizations that enable the team quickly to make sense of attitudes reflected in the comment set, which we believe provide richer information and a more detailed understanding of attitudes.
AB - This paper describes a study to explore the integration of Group Support Systems (GSS) and Artificial Intelligence (AI) technology to provide solicitation, analytical, visualization and sense-making support for attitudes from large distributed marketing focus groups. The paper describes two experiments and the concomitant evolutionary design and development of an attitude analysis process and the MindMine Comment Analysis Tool. The analysis process circumvents many of the problems associated with traditional data gathering via closed-ended questionnaires and potentially biased interviews by providing support for online free response evaluative comments. MindMine allows teams of raters to analyze comments from any source, including electronic meetings, discussion groups or surveys, whether they are Web-based or same-place. The analysis results are then displayed as visualizations that enable the team quickly to make sense of attitudes reflected in the comment set, which we believe provide richer information and a more detailed understanding of attitudes.
UR - http://www.scopus.com/inward/record.url?scp=0033872159&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0033872159&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0033872159
SN - 0769504930
SN - 9780769504933
T3 - Proceedings of the Hawaii International Conference on System Sciences
SP - 19
BT - Proceedings of the Hawaii International Conference on System Sciences
T2 - The 33rd Annual Hawaii International Conference on System Siences (HICSS-33)
Y2 - 4 January 2000 through 7 January 2000
ER -