A Human-Centered Perspective of Intelligent Personalized Environments and Systems
暫譯: 以人為本的智慧個人化環境與系統觀點

本書探討將更具量化的數據驅動技術與更具質性理論驅動方法結合的潛力，以設計以使用者為中心的智能系統。它旨在探索將基於心理學理論的因素納入自適應/智能例程、機制、技術和創新中的潛力。書中強調了隨著這些方法的融合而出現的模型、方法和工具，以及所面臨的挑戰和所獲得的經驗教訓。

特別強調促進對最新技術、當前研究趨勢和創新方向的原創見解和範式，例如，在自適應智能系統中納入源自心理學理論和個體差異的變數，以提高可解釋性、公平性和透明度，並在互動過程中減少偏見，同時保持使用者的控制權。

Dr. Bruce FerwerdaBruce is an Associate Professor in the Department of Computer Science and Informatics at Jönköping University, Sweden, and leads the Human-Computer Interaction Lab at the university. His research focuses on psychological user modeling and personalization, particularly in recommender systems. Bruce has over 70 publications, including books, journals, and conference contributions. He is an active contributor to several communities by taking part in the organizing committee or program committee. Selective organizations of previous events: Inclusion Chair at Recsys 2024, RecSys Challenge at RecSys 2021, 2022; Proceedings Chair at IUI 2020; Co-Chair of HUMANIZE 2017-2024 at ACM IUI; Co-chair HAAPIE at UMAP 2022-2023.
Dr. Mark GrausMark is a freelance data scientist with a background in combining psychological theory in machine learning applications for personalization. He holds a PhD from Eindhoven University of Technology and worked as assistant professor at Maastricht University, during which he (co-)authored several conference and journal articles and book chapters and contributed to the organizing committees of conferences such as IUI and RecSys.
Dr. Panagiotis GermanakosPanagiotis is User Experience Research Expert - Instructor at SAP SE, leading and supporting the user research activities of product teams for delivering usable, high quality, human-centred solutions. Embracing the role of SAP University Alliances Ambassador, he serves as a liaison between the business and academia, consulting and transferring knowledge that inspires innovations. He is also a Research Scientist, conducting basic and applied research in the fields of HCI/UX, User Modeling - bringing the 'human-in-the-loop', Adaptation & Personalization, and Human-centered Computing. He has an interdisciplinary background which lies in the cross-borders of Computer Science, Psychology and Business Informatics disciplines and he holds a PhD from the National & Kapodistrian University of Athens (2008). Panagiotis has over 140 publications including book, journal, and conference contributions and his work has obtained a number of awards. He has co-authored a monograph with title "Human-centred Web Adaptation and Personalization - From Theory to Practice" (released March 2016), and co-edited 7 other books. He has published 4 utility and 2 design patents and he is co-founder/ organizer of international scientific events like ACM HAAPIE and HUMANIZE series workshops. In addition, he has been participating in numerous editorial, board and program committees of top journals, conferences and workshops like ACM UMAP, IUI, INTERACT, CHI, and he is a member of various international research networks and professional bodies like ACM, AIS, Expert Network of HCI-KDD.
Dr. Marko TkalčičMarko is associate professor at the Faculty of Mathematics, Natural Sciences and Information Technologies (FAMNIT) at the University of Primorska in Koper, Slovenia. He aims at improving personalized services (e.g. recommender systems) through the usage of psychological models in personalization algorithms. To achieve this, he uses diverse research methodologies, including data mining, machine learning, and user studies. Marko has over 100 publications in prestigious venues. Marko is active in the user modeling and recommender systems communities. He is editorial board member of the Springer User Modeling and User-adapted Interaction journal. He has covered organizational roles in the ACM RecSys, ACM UMAP, and ACM IUI conferences. In 2022, he was program co-chair of the ACM UMAP 2022 conference. Marko has edited two volumes with Springer, Emotions and Personality in Personalized Services in 2016 and Group Recommender Systems in 2023.

布魯斯·費爾維達博士布魯斯是瑞典約恩雪平大學計算機科學與資訊學系的副教授，並領導該大學的人機互動實驗室。他的研究專注於心理用戶建模和個性化，特別是在推薦系統方面。布魯斯擁有超過70篇出版物，包括書籍、期刊和會議貢獻。他積極參與多個社群，擔任組織委員會或程序委員會成員。過去活動的部分組織角色包括：2024年Recsys的包容性主席、2021年和2022年RecSys挑戰賽的主席；2020年IUI的會議主席；2017-2024年ACM IUI的HUMANIZE共同主席；2022-2023年UMAP的HAAPIE共同主席。
馬克·格勞斯博士馬克是一名自由職業數據科學家，專注於將心理學理論應用於個性化的機器學習應用。他擁有埃因霍溫科技大學的博士學位，曾在馬斯特里赫特大學擔任助理教授，期間（共同）撰寫了多篇會議和期刊文章及書籍章節，並參與了IUI和RecSys等會議的組織委員會。
帕納吉奧提斯·德爾馬納科斯博士帕納吉奧提斯是SAP SE的用戶體驗研究專家 - 講師，負責領導和支持產品團隊的用戶研究活動，以提供可用的、高品質的以人為中心的解決方案。作為SAP大學聯盟大使，他在商業和學術界之間擔任聯絡人，提供諮詢並轉移知識以激發創新。他還是一名研究科學家，進行HCI/UX、用戶建模等領域的基礎和應用研究，專注於“人機互動”、適應與個性化以及以人為中心的計算。他擁有跨計算機科學、心理學和商業資訊學科的跨學科背景，並於2008年獲得雅典國立與卡波迪斯特里安大學的博士學位。帕納吉奧提斯擁有超過140篇出版物，包括書籍、期刊和會議貢獻，並獲得多項獎項。他共同撰寫了一本名為《以人為中心的網頁適應與個性化 - 從理論到實踐》的專著（於2016年3月發行），並共同編輯了其他7本書籍。他已獲得4項實用專利和2項設計專利，並是國際科學活動的共同創辦人/組織者，如ACM HAAPIE和HUMANIZE系列研討會。此外，他還參與了ACM UMAP、IUI、INTERACT、CHI等頂級期刊、會議和研討會的多個編輯、委員會和程序委員會，並是ACM、AIS、HCI-KDD專家網絡等各種國際研究網絡和專業機構的成員。
馬爾科·特卡利奇博士馬爾科是斯洛維尼亞科佩爾普里莫爾斯卡大學數學、自然科學與資訊技術學院（FAMNIT）的副教授。他旨在通過在個性化算法中使用心理模型來改善個性化服務（例如推薦系統）。為了實現這一目標，他使用多種研究方法，包括數據挖掘、機器學習和用戶研究。馬爾科在知名期刊上發表了超過100篇出版物。他在用戶建模和推薦系統社群中非常活躍，是Springer《用戶建模與用戶適應互動》期刊的編輯委員會成員。他在ACM RecSys、ACM UMAP和ACM IUI會議中擔任過組織角色。2022年，他是ACM UMAP 2022會議的程序共同主席。馬爾科編輯了兩本Springer的專輯，分別是2016年的《個性化服務中的情感與個性》及2023年的《群體推薦系統》。