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大型多人線上角色扮演遊戲成癮：以沉浸經驗及心理社會因素探討;A Study of Massively Multiplayer Online Role-playing Games Addiction: Flow Experience and Psychosocial Factors
No full text[[abstract]]隨著遊戲產業蓬勃發展，大型多人線上角色扮演遊戲不論在台灣或是全世界都具有眾多的玩家，遊戲產業顯然在全世界，皆具有龐大之商機，並且未來還有可觀的獲利成長空間，數位遊戲儼然已經成為一般大眾的主要娛樂。也因為這遊戲風潮風行全球，遊戲成癮也受到各國相關單位重視。本研究基於玩家沉浸經驗與玩家心理社會因素來探討影響遊戲成癮的因素，並提出一個完整性的遊戲成癮研究模式。本研究採用網路問卷調查法，研究對象以大型多人線上遊戲玩家，蒐集到962份有效問卷，並以結構方程模式來驗證研究模式內各變數間的影響關係。研究結果顯示玩家之沉浸經驗與遊戲習慣皆對遊戲成癮有顯著的正向影響。此外玩家心理因素中，孤獨感與侵略性也對遊戲成癮具有顯著的正向影響。研究結果對學術理論與務實面都有良好的啟示。
As the game industry is booming, Massively Multiplayer Online Role-playing Games in Taiwan and around the world have a large number of players, the game industry is clearly in the world, have a huge business opportunities, and the future Considerable profit growth space, digital games seems to have become the general public's main entertainment. But also because this game trend popular in the world, game addiction has also been concerned about the relevant units in various countries. This study is based on the flow experiences of players and the psychological factors of players to explore the factors that affect the game addiction, proposing an integrated model for game addiction.This research adopted the questionnaire survey, data for this study were collected from 962 MMORPGs players and used structural equation modeling to validate the influential relationship among the variables in the research model. The result of study indicated: (1) flow experience has positive impact on players’ habit and game addiction; (2) players’ habit has positive impact on game addiction; (3) Loneliness and Aggressive has positive impact on game addiction. The results of study on the aspect of academia and the aspect of management practice both had good implications
基於資料視覺化建構學術合作之社會網路分析;Social Network Analysis and Visualization of Collaboration
No full text[[abstract]]教師評鑑與學術生產力向來是許多學者重視的議題，學術生產力與對於教師晉升、任期決定、期刊投稿品質等都有著重大影響。過往有學者認為合作關係有助於提升期刊投稿品質與學術生產力。比起過往的個人著作，近年合作著作越來越多。自2005年起，教育部提出了「追求卓越計畫」與「頂尖大學」計畫以提升臺灣大學的競爭力與國際觀，且以SCI/SSCI/TSSCI投稿篇數來檢測各大專院校研究結果。亦有學者推薦投稿清單，鼓勵台灣學者投稿以提升期刊品質。即使在學術上已有許多於學術評鑑、期刊品質、學術生產力與合作關係的研究，但少有研究整合以上四點，並使用社會網路分析及視覺化呈現來檢測學術生產力和合作關係之影響。因此，本研究將針對科技部臺灣大專院校資訊管理學系期刊論文為基礎，取1982年至2015年之文章，經資料前整理及正規化後使用D3.js繪製知識圖譜，並藉此探討文章之作者於SCI/SSCI/TSSCI合作情形、頂尖期刊發表狀況、1982年至2015年合作趨勢、地區與縣市合作情形、性別與職位合作關係以及作者貢獻與學術生產力。研究結果顯示：(1)期刊論文篇數從1982年至2011年有大幅成長，雖然SCI從2009年起開始有略降，但SSCI、TSSCI及管二學門推薦期刊皆上升，其中以SSCI較明顯。(2)教育部2005年之計畫對資管老師的投稿狀況影響機率高(3)於SCI/SSCI/TSSCI投稿合作網路中，由某國立中山大學男性正教授位於該網路之中心外亦為重要的媒介與橋樑。(4)女性於SCI/SSCI/TSSCI投稿上，個人著作比率與男性相近。(5)擁有較多篇數之作者大多有間接或直接連到較大網路的節點，即較活絡於合作或間接合作。在學校合作部分亦是如此，且過往篇數較多之學校，其近年的篇數亦較多。(6)在地區部分，雖北部投稿篇數最多，但於SCI/SSCI/TSSCI之文章比率上，則是南部最多。關鍵字：資訊管理、D3.js、共同著作、資料視覺化、社會網路分析、學術生產力、知識圖譜、期刊發表
Research performanceevaluation is an important issue of many scholars. It has a great impact on promotion, tenure, and quality of publication. In the past, some scholars believe that cooperation can improve the quality of publication and academic productivity. Rather than having single-author publication, more and more cooperation had emerged in recent years. Since 2005, the Ministry of Education (MOE) has developed two university programs, and had clearly stated that there is a strong relationship between faculty promotion and research performance. Even thougu there are several studies that analyzed the collaboration or research productivity patterns in an academic discipline,there is no such work that uses social network analysis to examine research productivity and co-authorship under two university programs and evaluation policies from MOE in Taiwan.Therefore, in this study, we plan to analyze the research productivity, collaboration patterns,and publication patterns of faculty members from all the Management Information Systems(MIS) departments in Taiwan. In addition, we use D3.js to visualize and discuss how these two university programs and evaluation policies from the MOE had affected these collaboration and publication patterns.Based on the findings, we figured out: (1)The number of journals has increased significantly from 1982 to 2011; (2)The number of publication had increased after two university programs from MOE had been introduced; (3) A male professor from National Sun Yat-Sen University is an important medium and center point in SCI/SSCI/TSSCI network; (4) Male and femalr professors had about the same ratio in their Single-author publication; (5)Professors who have more publication papers also had more cooperations with others. Keyword: Information Management,D3.js,Co-authorship,Social Network Analysis, Data Visualization,Knowledge Map, Academic Productivity,Research Publicatio
影響使用行動資安防護APPs意圖之因素;Factors Influencing Intention to Use Mobile Security Apps
No full text[[abstract]]隨著科技的快速發展以及智慧型裝置與個人行動網路的普及，雖然行動裝置帶來了便利的生活，但也同樣的潛藏了資訊安全的風險，本研究以Boss, Galletta, Lowry, Moody and Polak (2015)提出的完整保護動機之模型為基礎架構，加入情境支持，言語的說服以及替代性經驗來探討影響使用行動資安防護APPs意圖之因素。本研究透過網路問卷來進行樣本資料收集，研究對象為有使用行動資安防護APP之經驗者，總共收到189份有效問卷，透過統計軟體SPSS 22.0與Smart PLS 3.2.6對樣本資料作數據分析驗證。結果表明，知覺威脅嚴重、知覺威脅弱點會正向影響恐懼，言語的說服、替代性經驗會正向影響自我效能，恐懼、反應效能、自我效能會正向影響使用意圖，而不採用酬賞、反應成本會負向影響使用意圖。
With the development of modern science and technology, smart devices and personal mobile networks have become increasingly popular due to the rapid growth of the Internet. Mobile phones have made life more convenient. Unfortunately, these devices are also beginning to face many security threats. Based on the model proposed by Boss, Galletta, Lowry, Moody and Polak in 2015, this study included situational support, verbal persuasion and vicarious experience to explore the factors that influence intention to use mobile security APPs. This study collects sample data from a web-based questionnaire. A total of 189 valid questionnaires were collected and data analysis by SPSS 22.0 and SmartPLS 3.2.6.The results showed that perceived threat severity and perceived threat vulnerability had positive impacts on fear. Verbal persuasion and vicarious experience had positive effects on self-efficacy. Fear, response efficacy and self-efficacy had positive effects on usage intention.Maladaptive rewards and response cost had negative impacts on usage intention
快速開機驅動程式;Device Drivers for Fast Booting
No full text[[abstract]]近年來隨者科技日益先進，穿戴式裝置、智慧型手機也逐漸盛行，人手一台智慧型裝置也不再只是夢想，攜帶輕巧簡便的設計產品，廣受市場好評，而智慧型手機的Android作業系統，是立基於Linux kernel的作業系統與軟體平台。隨者智慧型消費電子裝置的普及，消費者需求的轉變，追求高效率、省電、速度快的產品如雨後春筍般冒出，(例如:Notebook，智慧型手機、智慧手環等)，而快速開機系統的誕生，提供產品一個良好的功能，大幅度減少使用者開機等待的時間，其重要性與實用性也隨者產品的需求，越來越重要。 本論文主要目的是在改善快速開機技術，藉由實作成一個快速開機功能的kernel module來提高可移植性，kernel無須跟隨Linux版本做更新。這樣的模組設計，可以應用在其他OS及windows 系統上。目前的快速開機技術只能在android跟Linux space上應用，希望能透過此方法，改善原來的快速開機技術，可以讓演算法跨平台，應用在更多穿戴式裝置系統裡，及沒有Open Source的系統中。增加市場推廣與需求、降低時間成本消耗、提高使用普及率。
In recent years, with science and technology are increasingly sophisticated, wearable devices, smartphones are increasingly popular, everyone has one smart device is no longer just a dream, lightweight and easy to carry design products, widely praised by the market, while the Android smartphone operating system is established based on Linux kernel and operating system software platform.With the popularity of those smart consumer electronic devices, changing consumer demand, the pursuit of high efficiency, energy saving, high speed products are popping up, (for example: Notebook, smartphone, smart bracelet, etc.), and fast birth boot the system, providing a good product features, greatly reducing the waiting time you power, its importance and practicality but also with those who demand products, more and more important.????The main purpose of this paper is to improve the fast boot technology, made by a real fast boot function kernel module to improve portability, kernel updates do not need to follow the Linux version. Such a modular design, can be applied to windows and other OS systems.The current fast boot technology with only android applications on Linux space, hoping through this method to improve the original fast boot technology that allows cross-platform algorithm, used in more wearable system, and not the Open Source system. Increased marketing and demand, reduce the time consumption costs, and improve the penetration rate
具有模式切換之土石流預測;Landslide Prediction with Model Switching
No full text[[abstract]]土石流會對生命與財產造成巨大的損失。在土石流預警系統中，可以通過分析無線傳感器網絡收集的環境數據來檢測土石流。然而，環境數據通常是複雜的並且變化快速。因此，如果可以提前預測到土石流發生，人們可以提前離開危險區域。因此，一個準確的預測方法至關重要。目前，廣泛使用的方法是人工神經網絡，它提供了準確的預測並表現出高學習能力。通過訓練網路，可以使人工神經網絡的權重係數精確到足以使網絡與人類大腦相似。然而，當訓練樣本的數據分佈不平衡時，人工神經網絡將無法學習少數類別的模式，即數據樣本很少的類別。因而，預測可能不准確。以土石流應用為例，少數類別通常為危險區段。為了克服人工神經網絡的這個缺點，本篇論文提出了一種模式切換策略，可以根據環境狀態在不同的神經網絡預測器之間進行選擇切換，來解決樣本數據分佈不平衡的問題。除此之外，我們建立了一個基於人工神經網絡的誤差模型，用以預測本文所提出的預測模型的未來誤差，並在預測階段補償這個誤差，使預測的結果更接近實際情況。實驗結果呈現本文所提出的方法可以提高預測效果，並且土石流預測系統可以在土石流發生前平均44.2分鐘發出警告。
Landslides could cause huge damages to properties and severe loss of lives. Landslides can be detected by analyzing the environment data collected via wireless sensor networks (WSN). However, environment data are usually complex and undergo rapid changes. Thus, if landslides can be predicted, people can leave the hazardous areas earlier. A good prediction mechanism is thus critical. Currently, a widely-used method is Artificial Neural Networks (ANNs), which give accurate predictions and exhibit high learning ability. Through training, the ANNs weight coefficients can be made precise enough so that the network works in analogy to a human brain. However, when we have an imbalanced distribution of data, ANNs will not be able to learn the pattern of minority class, that is, the class of very few data samples. As a result, the predictions could be inaccurate. To overcome this shortcoming of ANNs, this work proposes a model switching strategy that can choose between different predictors according to environmental states. In addition, we construct the ANNs based error model to predict the future errors of our proposed prediction model and compensate for these errors in the prediction phase. As a result, our proposed method can improve prediction performance, and the landslide prediction system can give warnings in an average of 44.2 minutes prior to landslide occurrence
運動前後頸動脈超音波之都卜勒頻譜分析及特徵擷取;A Study of Exercise Training Effect by Spectrum Analysis and Feature Extraction of Doppler Ultrasound at Carotid Artery Site
No full text[[abstract]]心腦血管疾病包括心臟疾病與腦血管疾病，常居於國人的十大死因之中，且死亡率居高不下。頸動脈在分叉為內頸動脈與外頸動脈之處是動脈硬化的好發部位，內頸動脈供應血液給大腦，以致於內頸動脈硬化阻塞時容易造成腦中風，而外頸動脈供應血液氧氣給臉部皮膚，所以外頸動脈硬化阻塞時會導致臉部麻痺，由此可知動脈硬化與心血管疾病息息相關。 超音波是一種非侵入式且相對經濟的檢測方式，常用來觀察血管狀況。過去學者在評估動脈硬化時，利用血管收縮與舒張之間的差值變化，也有利用頻譜都卜勒波形計算脈動指數或阻力指數。本研究是針對超音波最原始的聲音做分析，首先以希爾伯特-黃轉換將此聲音分解成數個不同頻帶的訊號，再轉換成頻譜圖觀察其中意義，並除去干擾，保留有用的資訊。最後計算出訊號的近似熵值，並擷取都卜勒頻譜特徵，找出頻譜能量的變化，並探討兩種方法的評估結果。 實驗結果顯示正常人在運動後，提高的心跳速率容易影響近似熵的計算，而希爾伯特-黃轉換是一種可以有效將心跳訊號拆解出來的方法，使得受試者計算出的近似熵值，在運動前後差距縮小。而特徵擷取結果顯示運動後的頻譜能量低於運動前，我們猜測是運動後血液濃稠度增加導致血管內反射減少，其實際意義還需進一步探討。
Cardiovascular and cerebrovascular diseases are often in the list of top ten causes of death in Taiwan, and has high mortality rate. The site where carotid artery splits into internal and external carotid artery is usually the place arteriosclerosis (ASC) starts to occur. Internal carotid artery delivers blood to the brain, so its ASC-induced occlusion often causes stroke. The external carotid artery supplies oxygen to the facial skin, so its ASC occlusion leads to facial paralysis. Carotid ASC has huge impact to our life. Ultrasound imaging is a non-invasive and economic examination method to check the carotid condition. In the past, researchers used the vessel diameter change between systolic and diastolic states to assess atherosclerosis. Some of them calculate the pulsatility index or resistance index from the spectral Doppler waveforms. Our research analyzes the raw acoustic data of the Doppler ultrasound. First, we use Hilbert-Huang transform (HHT) to decompose the sound into signals in several frequency components. Then we transformed signals into spectrograms. After the observation, components with the interference were removed to contrast useful information. Finally, we calculate approximate entropy (ApEn) from the processed signals, and also extract features from its spectrogram to find the change in spectrum power. ApEn and spectrum power are two measures of interest to characterize ASC. Experimental results show that heartbeat signal significantly affects the ApEn calculation in normal people under exercise training. HHT effectively extracts the heartbeat signal from the raw data, so the ApEn will not change too much before and after exercise. The spectral power is lower after exercise. We infer that the blood density increases after exercise, and causes less flow-induced Doppler shift in the signal. Further experiments are required to confirm our conjecture
基於限制邏輯圖的測試覆蓋標準管理及邊界測試案例的產生;Test Coverage Criteria Management and Boundary Test Case Generation Based on Constraint Logic Graphs
No full text[[abstract]]軟體測試是確保軟體品質的主要方法，但自動產生測試案例的技術卻仍不成熟。限制式測試案例產生技術是一種重要的測試案例產生技術。限制式測試案例產生技術將測試案例產生問題制定為一個限制滿足問題。本論文提出使用限制邏輯圖作為測試模型，並說明限制邏輯圖如何被用來將測試案例產生問題轉換成一個限制滿足問題。限制邏輯圖以圖形的方式描述軟體的行為或輸入及輸出之間的限制邏輯關係。本論文將針對黑箱函式層級單元測試，詳細說明限制邏輯圖如何被用在行為模型的建構、等價行為類別的分割、類別邊界值的分析、及測試覆蓋標準的管理。
Software testing is one of the main approaches to ensuring the software quality. However, the automatic generation of test cases is still very immature. The constraint-based test case generation is an important technique for automatic generation of test cases. In the constraint-based technique, the test case generation problem is formulated as a constraint satisfaction problem. This thesis proposes to use constraint logic graphs as test models, and demonstrates the use of constraint logic graphs in the process of transforming the test case generation problem into a constraint satisfaction problem. A constraint logic graph describes graphically the software behaviors or the constraint logic relationships between inputs and outputs. This thesis describes the use of constraint logic graphs in the test model construction, equivalence class partitioning, boundary value analysis, and test coverage criteria management for black-box method-level unit testing
集團多角化與資訊透明度之關聯探討;The Relation between Group Diversification and Information Transparency
No full text[[abstract]]國內集團企業的比例相對高於其他國家，然集團企業對我國經濟影響重大，其資訊揭露的品質關乎許多投資者以及利害關係人之權益。集團企業常以多角化策略為主要之經營手段，資訊的複雜程度因此又增加了不少，相關之議題是值得去注意與探討的。本研究以2005年至2014年之上市、上櫃集團企業為研究對象，探討集團企業實施多角化策略的程度與集團企業資訊透明度之關聯性。主要將多角化策略分類為垂直性多角化策略與互補性多角化策略，並分別探討之。實證結果顯示，在這十年內的集團企業，實施互補性多角化策略的程度越高，集團越傾向於揭露較少之資訊予外部資訊使用者，使之無法及時掌握集團之資訊。而集團企業實施垂直性多角化策略者，實施多角化策略的程度與資訊透明度之間之關係則不顯著。
This study aims to explore the relationship between group diversification and information transparency during 2005 through 2014. The empirical result shows that group companies with greater complementary diversification are less likely to disclosure adequate information to their stakeholders. The other result shows that group companies with greater vertical diversification are likely to show information to their stakeholders. But this result is not significant, the relationship between vertical diversification and information transparency is not clear
智慧型手機適地性馬拉松APP優使性研究;A Usability Study of Location-Based Mobile Apps Design for Marathon Runners
No full text[[abstract]]近年來，馬拉松在國內已成為熱門運動項目，然而，在賽事品質參差不齊之下，容易讓跑者暴露在風險之中，因此本研究開發出一款智慧型手機適地性馬拉松APP－Racing Time，目的在於改善跑者在地理位置方面所遇到的不便與問題。本文以使用者為中心觀點進行開發設計Racing Time，亦即透過反覆設計與試測評估，以期達到使用者友善。在方法上，採用快速而非正式觀察法、深度訪談法、放聲思考法與問卷調查法，探究Racing Time是否具備優使性。在互動設計流程中，首先透過需求分析歸納馬拉松跑者遇到的問題；其次進行對手分析，找出現有健身教練APP的優點與缺失，以作為Racing Time設計參考；接著著手開發Racing Time原型。經三次反覆設計與試測評估後，發現原型設計三在使用性目標與使用者經驗目標方面已獲得相當高的滿意度，並成為值得開發的架構，其中，比較特別的是「給我救援」與「即時語音訊息」兩個功能，從訪談中得知，馬拉松跑者在比賽情境中對此有迫切性需求，因此為Racing Time不可或缺的重要功能。最後，本研究彙整出Racing Time改善建議總表，並建立出原型設計四與資訊架構圖，提供給未來設計者參考。
In recent years, marathon has become popular in Taiwan. Because of the uneven service levels in marathon, runners exposed to the risk. Therefore, this research aimed to resolve the inconvenience and problems related to location information, and developed a location-based mobile APP for marathon runners which was named as Racing Time.This study employed a user-centered approach to design the Racing Time. In order to achieve user-friendly, iterative design and evaluation was required. For the purpose of evaluating usability of the Racing Time, the techniques included quick and dirty observation, interview, think aloud and questionnaire. There were three steps in the interaction design process. First, the requirement analysis for summarizing the problems that marathon runners encounterd during the race. Secondly, the competitor analysis was carried out to find out the advantages and disadvantages of the existing fitness APPs. Finally, starting to develop the Racing Time prototype.Through three times of iterative design and usability testing, it was found that the Prototype 3 of the Racing Time got high scores in the usability goals and user experience goals, and had become worthy of development architecture. It was worth noting that “Rescue” and "Real-time voice message" is important and essential for marathon runners in the race. As a result, this paper summarized the table of improvement proposal, presented the Prototype 4 and redesign architecture chart for following developer
大學師生臉書非正式互動與師生關係之研究;A study of the relationship between teacher-student informal interaction via Facebook and teacher –student relationship in higher education
No full text[[abstract]]臉書從眾多新興的網路媒介中脫穎而出，成為大學生最常使用的社群網站，而我們亦可以發現愈來愈多的大學教師以「教師」的身分使用臉書，臉書成了大學教師與大學生交集的平台，成為大學師生新興的非正式互動管道。互動行為促使大學師生雙方藉由傳遞與交換彼此想法、價值觀等交互行為，藉此修正及調整彼此的行為，並達到穩定的師生關係（黃鈺雯，2004；潘正德，1993），因此本研究欲以大學生的視角，探討「生對師臉書非正式互動」、「師對生臉書非正式互動」，以了解目前大學師生於臉書上的互動概況，以及大學師生臉書互動行為對大學師生關係之影響，以作為大學教師使用臉書與學生互動時的參考。經由問卷回收（n=301）及訪談結果整理之後發現，大學師生於臉書上非正式互動（互動內容、互動類型）確實能夠促進良好的大學師生關係，研究結果證實「生對師」在課程議題上的互動及留言互動皆有助於情感性成分師生關係及工具性成分師生關係的正向發展，本研究亦進一步證實Hagenauer與Volet（2014）所提出的「師生互動影響師生關係」之研究架構。最後，本研究的研究發現「師對生」、「生對師」在臉書上確實有不一樣的互動行為。
Facebook has become the most popular social media in higher education. More and more faculty members start to use Facebook with the identity of “teacher”. Facebook has become the newest informal interactive media between the students and the faculty.The interactive behavior between the students and the faculty can facilitate the exchange of the ideas, values, and feelings, and stabilize teacher-student relationship. This study focuses mainly on students’ point of view to examine the effects of student-faculty interaction and faculty-student interaction via facebook, and the consequences on teacher-student relationship (the expressive of teacher-student relationship and the instrumental of teacher-student relationship).After analyzing the survey data (n=301) and interview responses, the results verify that the teacher-student informal interaction (the content of interaction, and the type of interaction) via Facebook could positively affect the teacher-student relationship. The results show that student-teacher interaction on course issue and the commenting behavior could both facilitate the expressive ties and the instrumental ties of teacher-student relationship. Finally, this study found that “teacher-student’’ and “student-teacher’’ interactive behavior have notable differences