MIYAMA Takaya, a second-year master’s student in the Frontier Media Science Program, Graduate School of Advanced Mathematical Sciences, received the Human-Computer Interaction (HCI) Contribution Award from the Information Processing Society of Japan (IPSJ).
This award is presented to individuals who have delivered three distinct research presentations within a one-year period.
The titles of Mr. Miyama’s award-winning presentations are as follows:
HCI211: “A Study on User Classification Using Pre-Tasks in Web-Based Experiments”
HCI214: “Evaluation of Participant Screening Methods in GUI Experiments Using Crowdsourcing”
HCI215: “Evaluation of Participant Screening Methods for GUI Experiments on Smartphones Using Crowdsourcing”
This series of studies addresses the issue of inattentive participants in crowdsourcing. Specifically, it examines how to design effective pre-tasks and evaluates their effectiveness across devices such as PCs and smartphones.
Going forward, he plans to further develop this line of research and establish more effective screening methods.
≪Japanese version≫