Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Elicitation studies, where users supply proposals meant to effect system commands, have become a popular method for system designers. But the method to date has assumed a within-subjects procedure and statistics. Despite the benefits of examining the relative agreement of independent groups (e.g., men versus women, children versus adults, novices versus experts, etc.), the lack of appropriate tools for beten-subjects agreement rate analysis have prevented so far such comparative investigations. In this work,  expand the elicitation method to beten-subjects designs.  introduce a new measure for evaluating coagreement beten groups and a new statistical test for agreement rate analysis that reports the exact p-value to evaluate the significance of the difference beten agreement rates calculated for independent groups.  show the usefulness of our tools by re-examining previously published gesture elicitation data, for which  discuss significant differences in agreement for technical and non-technical participants, men and women, and different acquisition technologies. Our new tools will enable practitioners to properly analyze their user-elicited data resulted from complex experimental designs with multiple independent groups and, consequently, will help them understand agreement data and verify hypotheses about agreement at more sophisticated levels of analysis.
['Radu-Daniel Vatavu', 'Jacob O. Wobbrock']
I am writing a research paper on a idea Between-Subjects Elicitation Studies: Formalization and Tool Support
[{"from": "human", "value": "I am writing a research paper on a idea Between-Subjects Elicitation Studies: Formalization and Tool Support"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Elicitation studies, where users supply proposals meant to effect system commands, have become a popular method for system designers. But the method to date has assumed a within-subjects procedure and statistics. Despite the benefits of examining the relative agreement of independent groups (e.g., men versus women, children versus adults, novices versus experts, etc.), the lack of appropriate tools for beten-subjects agreement rate analysis have prevented so far such comparative investigations. In this work,  expand the elicitation method to beten-subjects designs.  introduce a new measure for evaluating coagreement beten groups and a new statistical test for agreement rate analysis that reports the exact p-value to evaluate the significance of the difference beten agreement rates calculated for independent groups.  show the usefulness of our tools by re-examining previously published gesture elicitation data, for which  discuss significant differences in agreement for technical and non-technical participants, men and women, and different acquisition technologies. Our new tools will enable practitioners to properly analyze their user-elicited data resulted from complex experimental designs with multiple independent groups and, consequently, will help them understand agreement data and verify hypotheses about agreement at more sophisticated levels of analysis."}]