A Human-Centered Perspective of Intelligent Personalized Environments and Systems

本書探討將更定量的數據驅動技術與更定性的理論驅動方法結合，以設計以使用者為中心的智能系統的潛力。它旨在探索將心理學理論因素納入自適應/智能例程、機制、技術和創新的潛力。它強調了從它們的融合中出現的模型、方法和工具，以及所面臨的挑戰和經驗教訓。

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，例如將來自心理學理論和個體差異的變數納入自適應智能系統中，以增加解釋性、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.

Dr. Bruce Ferwerda
Bruce是瑞典延雪平大學( Jönköping University)計算機科學與資訊學系的副教授，並在該大學領導人機互動實驗室。他的研究專注於心理使用者建模和個性化，特別是在推薦系統中的應用。Bruce已發表了70多篇論文，包括書籍、期刊和會議論文。他積極參與多個社群，擔任組織委員會或計畫委員會的成員。他曾擔任過的重要職位包括：Recsys 2024的包容性主席，RecSys 2021和2022的RecSys挑戰賽，IUI 2020的會議論文主席，ACM IUI的HUMANIZE 2017-2024聯合主席，UMAP 2022-2023的HAAPIE聯合主席。

Dr. Mark Graus
Mark是一位自由職業的資料科學家，擁有將心理理論應用於機器學習個性化應用的背景。他擁有荷蘭愛因荷芬理工大學的博士學位，曾在馬斯垂克特大學擔任助理教授，期間（共同）撰寫了多篇會議論文、期刊文章和書籍章節，並參與了IUI和RecSys等會議的組織委員會。

Dr. Panagiotis Germanakos
Panagiotis是SAP SE的用戶體驗研究專家和講師，負責支援產品團隊的用戶研究活動，以提供可用性高、質量優、以人為中心的解決方案。作為SAP大學聯盟大使，他在企業和學術界之間擔任聯絡人，提供諮詢並傳遞激發創新的知識。他還是一位研究科學家，從事人機互動/用戶體驗、用戶建模、適應和個性化以及以人為中心的計算等領域的基礎和應用研究。他具有跨計算機科學、心理學和商業資訊學等學科的跨學科背景，並擁有雅典國立和卡波迪斯特里亞大學（2008年）的博士學位。Panagiotis已發表了140多篇論文，包括書籍、期刊和會議論文，並獲得了多項獎項。他與他人合著了一本名為《以人為中心的網頁適應和個性化-從理論到實踐》（2016年3月發行）的專著，並共同編輯了其他7本書籍。他發表了4項實用性和2項設計專利，並且是國際科學活動（如ACM HAAPIE和HUMANIZE系列研討會）的共同創辦人/組織者。此外，他還參與了許多頂級期刊、會議和研討會的編輯、委員會和計畫委員會，如ACM UMAP、IUI、INTERACT、CHI，並且是ACM、AIS、HCI-KDD專家網絡等國際研究網絡和專業機構的成員。

Dr. Marko Tkalcic
Marko是斯洛維尼亞科佩爾大學（University of Primorska）數學、自然科學和資訊技術學院（FAMNIT）的副教授。他致力於通過在個性化算法中使用心理模型來改進個性化服務（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。Marko在知名期刊上發表了100多篇論文。他在用戶建模和推薦系統社群中活躍。他是Springer《用戶建模和用戶適應互動》期刊的編輯委員會成員。他在ACM RecSys、ACM UMAP和ACM IUI等會議中擔任組織角色。2022年，他擔任ACM UMAP 2022會議的計畫聯合主席。Marko還編輯了Springer的兩本專著，分別是2016年的《個性化服務中的情感和個性》和2023年的《群體推薦系統》。