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  • 學位論文

以腦波量測探討李克特量表及語意差異量表之認知差異

A Study on Using EEG to Measure the Cognitive Differences between Likert Scale and Semantic Differential Scale

指導教授 : 吳錦波

摘要


過去的十年中,認知神經科學透過直接和客觀的方式來測量大腦 的活動,對於各種決策、認知、情感產生的訊息處理、決策和行為的 基本認識有許多進展。目前也有許多李克特量表以及語意差異量表應 用於 IS 領域之相關研究,其中 Chin(2008)以科技接受模式去比較李 克特量表及語意差異量表,但是目前仍然沒有結合認知神經科學進行 量表的相關研究。因此本研究旨在以 NeuroIS 的角度並結合認知神經 科學,以腦波儀量測受測者填答李克特量表以及語意差異量表時的認 知歷程,並且使用事件相關電位分析腦波,以 P300 來討論其認知差 異。研究結果發現受測者在填答兩種量表時的腦波確實存在顯著的差 異,且李克特量表之 P300 振幅均明顯大於語意差異量表。

並列摘要


Over the past decade, cognitive neuroscience has gener- ated many advances in the basic understanding of information processing, decision making, and behavior by directly and objectively measuring the brain activity that underlies various decision-making, cognitive, amd emotional. Currently, there are many studies of likert scales and semantic differential scales applied in IS research.Chin(2008) used TAM to campare likert scales to semantic differential scales,but there is none of scale research combine with cognitive neuroscience.Therefore, the study combined with cognitive neuroscience,used EEG to measure users’ brainwave activity during answered likert sacles and semantic differntial scales. Analyzing brainwave with ERPs, investigating cognitive differences with P300.The study found there are cognitive differnces between likert scales and semantic differential scales,and likert scales have lager P300 amplitudes than semantic differential scales.

並列關鍵字

Likert scale Semantic differential scale ERPs P300 EEG

參考文獻


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Chin, W. W., Johnson, N., & Schwarz, A. (2008). A fast form approach to measuring technology acceptance and other constructs. MIS Quarterly, 687-703.
Dimoka, A., Pavlou, P. A., & Davis, F. D. (2011). Research commentary-NeuroIS: the potential of cognitive neuroscience for information systems research. Information Systems Research, 22(4), 687-702.

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