Current Study
人格特質與身體部位別局部氣流刺激對虛擬實境沉浸感與任務表現之影響
隨著虛擬實境（Virtual Reality, VR）技術的快速發展，如何在多感官層面提升沉浸感（immersion）與臨場感（presence）已成為核心議題。現有研究多聚焦於視覺與聽覺模態，而觸覺整合的應用仍相對有限。本研究以非接觸式氣流觸覺（airflow haptics）為核心，結合人格特質（personality traits）探討不同身體部位之局部氣流刺激對沉浸體驗與任務表現的影響，進而建構「人格 × 身體部位」的沉浸感模型。研究建置一套低成本、可模組化的氣流模組平台，可針對頭頸、胸部、手部與小腿四個區域提供穩定且可控的氣流刺激。受試者以五大人格向度（開放性、嚴謹性、外向性、宜人性、神經質）輔以吸收性與沉浸傾向為心理變項，在五種氣流條件（無風與四部位局部風）下進行 VR 體驗（摩托車競速任務），以沉浸感、臨場感與任務表現為依變項。研究採重複量數變異數分析與調節迴歸模型檢驗「氣流部位 × 人格特質」之交互效應。預期結果將揭示不同人格類型使用者在多部位氣流刺激下的沉浸差異，並提出依人格與部位調整之個人化沉浸設計準則。研究成果可推動氣流觸覺於沉浸式互動設計的應用，促進個人化多感官介面開發，並延伸於教育訓練、遊戲體驗及無障礙感官輔助等領域。
關鍵字：氣流觸覺 身體部位別氣流 人格特質 沉浸感 任務表現
The Effects of Personality Traits and Body-Region–Specific Localized Airflow Stimulation on Immersion and Task Performance in Virtual Reality
With the rapid advancement of Virtual Reality (VR) technologies, enhancing users’ immersion and presence through multisensory design has become a key challenge. While most existing studies have focused on visual and auditory modalities, the integration of tactile feedback remains limited. This study investigates how personality traits interact with body-region–specific localized airflow stimulation (airflow haptics) to influence immersion and task performance in VR, aiming to construct an “individual × body-region” immersion model. A low-cost, modular airflow system will be developed to deliver controllable airflow stimulation to four regions: the head–neck, chest, hands, and lower legs. Participants will be assessed on the Big Five personality traits (openness, conscientiousness, extraversion, agreeableness, neuroticism), absorption, and immersive tendency. They will experience five airflow conditions (no wind and four localized wind conditions) during a VR motorcycle-racing task, with immersion, presence, and task performance as dependent variables. A repeated-measures ANOVA and moderation regression model will be used to analyze the “airflow region × personality” interaction effects. The expected results will reveal how individual personality profiles modulate multisensory immersion and propose personalized airflow design guidelines for VR systems. The findings are anticipated to advance the application of airflow haptics in immersive interaction design, support the development of personalized multisensory interfaces, and extend to training, gaming, and accessible sensory-assistive applications.
KEY WODR: VR；Airflow Haptics；Body-Region–Specific Airflow；Personality Traits；Immersion； Task Performance