Unobtrusive Data Collection for Web-Based Social Navigation

@inproceedings{citeulike:699800, abstract = {In initial laboratory studies, subsymbolic user behavior has shown promise as a source of information for social navigation. Scalable, unobtrusive methods are needed for acquiring data on subsymbolic user behavior in field studies or live systems. Current methods are not suitable for use outside the laboratory because they interfere with normal user behavior and environment. We present a method for unobtrusively collecting subsymbolic user behavior in web-based systems, and report results from a field study. Our method is unobtrusive in that it uses current web technologies, works on the vast majority of current browsers, requires minimal instrumentation of existing web-based systems, and requires no additional user effort. This unobtrusive data collection method paves the way for future research on using subsymbolic user behavior to improve social navigation.}, author = {Hofmann, Katja and Reed, Catherine and Holz, Hilary }, booktitle = {Workshop on the Social Navigation and Community based Adaptation Technologies}, citeulike-article-id = {699800}, keywords = {implicit\_feedback, relevance\_feedback, snc\_bat2006, subsymbolic\_user\_behavior, web\_search}, posted-at = {2006-06-27 10:11:35}, priority = {0}, title = {Unobtrusive Data Collection for Web-Based Social Navigation}, url = {http://www.sis.pitt.edu/\%7Epaws/SNC\_BAT06/crc/hofmann.pdf}, year = {2006} }

TY - CONF ID - citeulike:699800 L3 - citeulike-article-id:699800 N2 - In initial laboratory studies, subsymbolic user behavior has shown promise as a source of information for social navigation. Scalable, unobtrusive methods are needed for acquiring data on subsymbolic user behavior in field studies or live systems. Current methods are not suitable for use outside the laboratory because they interfere with normal user behavior and environment. We present a method for unobtrusively collecting subsymbolic user behavior in web-based systems, and report results from a field study. Our method is unobtrusive in that it uses current web technologies, works on the vast majority of current browsers, requires minimal instrumentation of existing web-based systems, and requires no additional user effort. This unobtrusive data collection method paves the way for future research on using subsymbolic user behavior to improve social navigation. TI - Unobtrusive Data Collection for Web-Based Social Navigation T2 - Workshop on the Social Navigation and Community based Adaptation Technologies KW - implicit_feedback KW - relevance_feedback KW - snc_bat2006 KW - subsymbolic_user_behavior KW - web_search AU - Hofmann, Katja AU - Reed, Catherine AU - Holz, Hilary PY - 2006/// UR - http://www.sis.pitt.edu/%7Epaws/SNC_BAT06/crc/hofmann.pdf ER -