不同數位情境中無意識肢體動作初探研究

A Preliminary Study On Unconscious Limb Movements Of Digital Situations

陳佳駿(Chia-Chun Chen)

指導教授 ： 孫春在

國立交通大學/理學院/理學院科技與數位學習學程/碩士(2019年)

摘要

本研究主旨在於探討不同數位情境的專注與放鬆對比狀態中,受測者之無意識肢體動作的關係。在近代許多相關生理動作的研究中,因拜科技進步所賜，普遍使用斷層掃描、眼動儀、腦波儀、心跳血壓計、體溫計…，皆可精確觀察到自然回饋的反應,人體顯性的無聲語言~肢體動作，用實際情境做為比對，將更有利於分析無意識肢體動作的對應性。
此實驗採單一受測者研究法,以21位20~30歲未婚男性,有數位遊戲經驗及網路影片觀看經驗，進行不同遊戲及影片的專注實驗,並安插等待放空的時間,使用自行研發設計的微波感應紀錄器，同步收集在不同情境下肢不自主擺動的數據。根據實驗結果分析發現:
1.在不同情境下,下肢不自主擺動次數有明顯的不同
2.下肢不自主擺動次數的增加可反映出受測者無事放空的空窗時段
3.射擊遊戲比邏輯遊戲更有誘發下肢不自主擺動次數
下肢不自主擺動的動作回饋與情境有顯著的關係,此實驗以不同的情境的設定讓受測者有不同的動作回饋,反之~可以藉由觀察下肢不自主擺動的動作回饋來推論受測者專注與否的表徵。

關鍵字

肢體語言 ； 不自主擺動 ； 抖腳 ； 微波感應 ； 生理回饋 ； 數位情境

並列摘要

The main purpose of this study is to explore the relationship between the subject's unconscious limb movements in the state of concentration and relaxation in different digital situations. In the research of many related physiological movements in modern times, due to the advancement of science and technology, the use of tomography, eye tracker, brain wave meter, heart rate sphygmomanometer, thermometer... can accurately observe the response of natural feedback. Explicit silent language ~ physical movements, using the actual situation as a comparison, will be more conducive to the analysis of the correspondence of unconscious limb movements.

　The physiological signal of the human body is a physiological reaction that cannot be controlled by itself, but through the physiological signal sensing device, the physiological reaction that cannot be autonomously in the body can truly reveal the current emotional response, and such human physiological signals turn. When it is quantified, it can detect human emotions through physiological signal sensing instruments to achieve immediate feedback. It is expected from this point of view to observe the relative relationship between unconscious limb movements and different situations.This experiment is based on 21 unmarried men between 20 and 30 years old. It has several gaming experiences and online video viewing experience. It conducts focused experiments on different games and videos, and inserts time to wait for the venting. It uses a self-developed microwave sensor recorder to synchronize. Collect data that is involuntarily swinging in different situations.

　Unconscious limb movements have a corresponding relationship with the situation. By observing the involuntary swing of the limb, it can be inferred whether the subject is focused or not.

並列關鍵字

Limb Movement ； Digital Situation ； physiological signal ； microwave sensor

參考文獻

中文部分:

楊金秀，透過生理訊號觀察玩家自我調節能力對心流經驗的影響-以音樂節奏遊戲為例，國立交通大學，碩士論文，2011。

龍明志，以玩家生理訊號為基礎的遊戲歷程與樂趣分析，國立交通大學，碩士論文，2011。

楊凱文，遊戲情境中之生理回饋與心流經驗，國立交通大學，碩士論文，2008。

王俐晴，動作型態與生理訊號量測研究，台灣大學音樂學研究所，2010