Quality of Experience and Learning in Information Systems : Incorporating Learning and Ethics into Characterizations of Quality of Experience (Eai/springer Innovations in Communication and Computing) / Antoniou, Josephina

Quality of Experience and Learning in Information Systems : Incorporating Learning and Ethics into Characterizations of Quality of Experience (Eai/springer Innovations in Communication and Computing) （2021）

個数：

Quality of Experience and Learning in Information Systems : Incorporating Learning and Ethics into Characterizations of Quality of Experience (Eai/springer Innovations in Communication and Computing) （2021）

Antoniou, Josephina

ウェブストア価格 ¥20,695（本体¥18,814）
Springer Nature Switzerland AG（2020/09発売）
外貨定価 US$ 99.99
ポイント 188pt

オンデマンド(OD/POD)版です。キャンセルは承れません。

【入荷遅延について】
世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。

◆画像の表紙や帯等は実物とは異なる場合があります。

◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
また、洋書販売価格は、ご注文確定時点での日本円価格となります。
ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。

製本 Hardcover:ハードカバー版／ページ数 110 p.
言語 ENG
商品コード 9783030525583

Full Description

The book shows how researchers, practitioners, and designers can improve user experiences with technology by understanding various user learning styles and characteristics when they interact with new and challenging applications and interfaces. Quality of experience in this new technological environment is affected by the learning curve involved in being able to use the new interfaces in a satisfactory way. The author explores the variations in quality of experience when considering learning and ethics when interacting with new, emerging technologies. The author shows how results can be applied to technologies such as big data, AI, 5G, and Internet of Things (IoT). Taken into account are also safety and security requirements, context, environment, etc. The book explores the idea of learning, ethics, and the idea that there exists a "recipe" for a satisfactory interaction with technology if such relevant parameters are taken into consideration.

Analyzes user habits to improve quality of experience when interacting with technology;

Shows how to apply quality of service techniques to 5G, IoT, big data and AI;

Uses behavior models to analyze interactions to improve the user quality of experience.

Introduction.- Learning Styles and Human Computer Interaction.- Emerging Technologies: 5G, IoT, Big Data and AI-based applications.- Definitions of Quality of Experience for users of different communication technologies.- Investigating learning for improved QoE of Web Users when interacting with security features.- Investigating Quality of Student Experience.- AI in education: using a combination of AI and learning styles to improve quality of Experience.- Game theory to investigate decision making when selecting features of challenging new application interfaces: improving user learning curves.- Conclusion.