工程英文問題描述 (50) (上) : 研究生英文投稿日報 工程計劃建構 Computers and the Internet have become an integral part of daily life activities, including work, communication, commerce, retrieval of new information and entertainment. Given the increasing diffusion of computers in society, human-computer interaction (HCI) is increasingly relevant in order to ensure that human-computer communication is as natural as human-human communication. In addition to verbal cues, emotions are vital to human intelligence and profoundly impact human communication. These findings, together with recent advances in sensing, tracking, analysis, and animation of human nonverbal communicative signals, have fueled interest among advanced HCI researchers in affective computing. This emerging field focuses on computational modeling of human perception of affective states, synthesis of affective expressions, and design of affect-sensitive HCI. 工程計劃問題 Affective computing attempts to ensure that a device can detect and effectively respond to emotions of its user in HIS. Approximately 80% to 90% of all human-to-human communication is nonverbal and emotional, necessitating that developers emphasize affective computing to ensure success in HCI. Given this capacity, a computing device accumulates cues from user’s emotions from a variety of sources, e.g., facial expressions, posture, gestures, speech, force or rhythm of key strokes and temperature changes of the user hand on a mouse. Such sources can signify changes in the emotional state of users, and can be detected and interpreted via a computer. A built-in camera that retrieves images of the user and algorithms can be used to process data in order to yield meaningful information. Speech recognition and gesture recognition are among other promising technologies for affective computing applications. 工程計劃問題的量化 For instance, in e-learning, the computer can sense from available cues when the user is having difficulty and offers expanded explanations or additional information. Although beneficial for various research and application areas, tackling these problems is a complex task. Research involving affective computing problems has heavily stressed how to recognize and model the affectivity. However, such approaches fail to cope with emotions that are dynamically changeable and highly fuzzy owing to only the inability of pattern recognition approaches to recognize emotional states and treat each emotional state as a static and not fuzzy one. Evaluating affective computing in HCI is often subjective, subsequently relying on various application domains. 工程計劃問題的中心 Despite the recent emergence of affective computing in HCI, many researchers believe that successfully dealing with emotional states in HCI would enhance the recognition accuracy of various modalities, e.g., speech recognition. Affective computing can assist individuals in becoming more comfortable with computer use. Capable of detecting whether a human user is under stress or confused, a computer could alter the environment to positively affect the emotional state of users. 工程計劃需求 Therefore, an efficient affective modeling scheme must be developed that incorporates fuzzy emotional measurement of users. An evolutionary learning algorithm must also be developed to model and learn emotions from users. *工程提案建構 : 你工程提案的主題是什麼? 你的讀者可以明瞭工程提案的內容嗎? *工程問題 : 你的工程提案裡有你試著要解決或是想更進一步瞭解的問題嗎? *工程問題的量化 : 你要如何量化問題來讓你的讀者明白之前文獻研究所遇到的量化限制 ? *工程問題的中心 : 如果問題沒被解決或是充分瞭解, 這對工程提案的讀者會有多大的負面衝擊? *工程計劃需求 : 根據以上問題,最迫切的計劃需求是什麼? 研究生英文投稿日報: chineseowl.wordpress/
Posted on: Sun, 24 Nov 2013 01:06:00 +0000