Time: April 16, 15:00~17:00

Place: DaAn 12th Floor Meeting Room

Invited Guest: Professor Cheng-Ta Yang ( http://psychology.ncku.edu.tw/en/Teacher_Detail.aspx?ID=c3a92ef1-d598-41eb-8211-b2d6b4033957 ; http://vcmlab.psychology.ncku.edu.tw/ )


Title: Systems factorial technology: Theory and applications  

Author: Cheng-Ta Yang 

Affiliation: Department of Psychology, National Cheng Kung University Abstract: 

Researchers have been interested in how human beings process information for  decision-making since the development of experimental psychology in the late  nineteenth century and then its renaissance in cognitive science in the 1960s.  Recently, an increasing number of researchers are interested in studying multiple signal processing because a correct decision usually requires human to process  multiple sources of information. Therefore, the issue of parallel-serial processing of  multiple signals has been investigated for several decades and it is still a hot issue in  cognitive science. 

With the development of methodology, researchers are able to make a deeper  investigation on the properties of multiple-signal processing, which cannot be  diagnosed by the conventional measures, e.g., accuracy, mean reaction time (RT).  Systems factorial technology (SFT) is an extension of the Saul Sternberg’s (1966)  additive factors method. SFT is regarded as a useful and diagnostic tool for strong  inferences of several important properties of multiple-signal processing while making  decisions, including the mental architecture, stopping rule, processing dependency,  and workload capacity (Little, Altieri, Fific, & Yang, 2017; Townsend & Nozawa,  1995). SFT has been applied to study multiple-signal processing in a variety of task  contexts, such as cued detection (Yang, Little, & Hsu, 2014), visual search (FIfic,  Townsend, & Eidels, 2008), change detection (Yang, 2011; Yang, Chang, & Wu,  2013), face perception (Yang, Fific, Chang, & Little, 2017), visual word recognition  (Houpt, Townsend, & Donkin, 2014), and audiovisual recognition (Altieri & Yang,  2016; Yang, Altieri, & Little, 2018).  

In this talk, I will first briefly introduce the four important properties of multiple signal processing. Second, the specific design, i.e., double factorial design, that allows  for the inferences of multiple-signal processing will be introduced. Third, the data  analyses and corresponding inferences will be introduced. Finally, I will present  several examples that apply SFT. Through this talk, you can obtain a basic sense of  how to use SFT and the advantages of SFT on the investigation of information  processing strategies. This advanced methodology enables researchers to gain new  insights of the mechanism of decision-making.