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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 黃從仁(Tsung-Ren Huang) | |
| dc.contributor.author | Yu-Wei Liu | en |
| dc.contributor.author | 劉昱維 | zh_TW |
| dc.date.accessioned | 2022-11-24T03:09:19Z | - |
| dc.date.available | 2021-11-03 | |
| dc.date.available | 2022-11-24T03:09:19Z | - |
| dc.date.copyright | 2021-11-03 | |
| dc.date.issued | 2021 | |
| dc.date.submitted | 2021-10-27 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/80558 | - |
| dc.description.abstract | "人機互動中，使用者的內在心理變項（例如：認知能力、人格特質、情緒狀態，或是興趣偏好）能幫助社會機器人提供更為適切的服務。但心理變項常內隱於使用者的外在行為中（例如：面部表情、聲音語調），僅能從第三方觀察者的角度推論得知其內部意涵；然而，對於不具推論能力的機器人來說，心理變項的真實值卻仍是未知之數。早期研究中，亦有嘗試使機器人執行心理評估，蒐集使用者第一人稱的回答以推論內在心理變項，但生硬呈現完整問卷內容，會令使用者產生防衛與感到疲倦。為使具有良好信度與效度的心理測驗能應用於人機互動中，方便機器人取得內在心理變項，本研究提出異步測驗問題法（Asynchronous Test Questions, ATQs）。將原紙本問卷題目，盡可能參照指導語，與依照人機互動情境進行編寫，以求維持原心理測驗的信度與效度，再將ATQs分散至不同的人機互動環節中。此外，為保ATQs可應用至多數使用者，本研究同時招募年長者族群與年輕者族群作為受試者。再者，受試者ATQs口語回答形式眾多，因此會經由兩名資料編錄者的編錄與協調，將口語回答轉換為李克氏五點量尺（Krippendorff‘s alpha：年輕者組 = 0.995；年長者 = 0.87），助於後續資料分析。本研究選用大五人格短版問卷作為概念性驗證的目標，採用相依t檢定比較受試者大五人格的ATQs口語回答與紙本問卷回答之間差異；並透過皮爾森相關驗證兩方式的一致姓。結果顯示，兩方法在年輕者族群，無論是大五人格的各子構念又或是單題表現，皆具有高度正相關（介於0.77-0.88之間）且其回答統計上無差異；但在年長者族群中，各子構念大多僅有中度正相關（介於.61-.77之間），其中開放性（Openness to experience）的相關更僅有0.18；單題表現上，「緊張的、不安的」該題回答在統計上具有顯著差異，細節將在文中討論。總體來說，本研究驗證ATQs確能與原紙本問卷有相似效果，並提出實際應用於人機互動的方式，例如：情境式改寫；與應用至不同使用者群體之注意事項，例如：題目長度須考量年長者認知處理能力。" | zh_TW |
| dc.description.provenance | Made available in DSpace on 2022-11-24T03:09:19Z (GMT). No. of bitstreams: 1 U0001-2510202116253100.pdf: 2667873 bytes, checksum: 5a471f65a53799bee570962f4436cbdb (MD5) Previous issue date: 2021 | en |
| dc.description.tableofcontents | 目錄 第一章 緒論 1 第一節 社會型機器人的泛用與崛起 1 第二節 社會型機器人如何「善解人意」？ 2 第三節 避免兩大困難的方式—異步式心理評估 3 第二章 機器人系統開發 5 第一節 系統架構 5 第二節 機器人系統 7 第三節 後端整合系統 8 第三章 研究方法 10 第一節 ATQS執行情境 10 第二節 實驗設計 10 第三節 實驗流程 13 第四章 資料分析 16 第一節 資料處理 16 第二節 資料分析 17 第五章 討論 21 第一節 ATQS之適用性 21 第二節 使用ATQS之注意事項 25 第三節 ATQS未來方向 27 第六章 結論 30 參考文獻 31 附錄 38 中文版十項目大五人格量表 38 表目錄 表1年輕者族群ATQS口語回答與紙本回答比較表（N = 26） 17 表2年長者族群ATQS口語回答與紙本回答比較表（N = 20） 18 圖目錄 圖1社會型機器人售量趨勢圖 2 圖2機器人系統架構圖 6 圖3主試者操縱介面圖 6 圖4機器人API介面狀態流程圖 9 圖5 ATQS執行情境圖 11 圖6 ROBOHON機器人構造圖 12 圖7單面鏡人機互動空間示意圖 13 圖8人機互動實驗總流程圖 14 圖9 ATQS提問時機點分佈圖 14 圖10年齡與回答不一致性之分析結果圖 20 圖11年長者實際場遇圖一 23 圖12年長者實際場遇圖二 23 圖13 ATQS進階應用系統示意圖 29 | |
| dc.language.iso | zh-TW | |
| dc.subject | 人機互動 | zh_TW |
| dc.subject | 心理評估 | zh_TW |
| dc.subject | 以人為本的機器人 | zh_TW |
| dc.subject | psychological evaluation | en |
| dc.subject | Human-Robot Interaction | en |
| dc.subject | Human-centered robotics | en |
| dc.title | 人機互動中的異步式心理評估 | zh_TW |
| dc.title | Asynchronous Psychological Evaluation During Human-Robot Interaction | en |
| dc.date.schoolyear | 109-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 張仁和(Hsin-Tsai Liu),岳修平(Chih-Yang Tseng) | |
| dc.subject.keyword | 以人為本的機器人,人機互動,心理評估, | zh_TW |
| dc.subject.keyword | Human-centered robotics,Human-Robot Interaction,psychological evaluation, | en |
| dc.relation.page | 38 | |
| dc.identifier.doi | 10.6342/NTU202104156 | |
| dc.rights.note | 同意授權(限校園內公開) | |
| dc.date.accepted | 2021-10-28 | |
| dc.contributor.author-college | 理學院 | zh_TW |
| dc.contributor.author-dept | 心理學研究所 | zh_TW |
| 顯示於系所單位： | 心理學系 | |
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