Coproducing Care: Synergies of Recognition
暫譯: 共同生產照護：認同的協同效應

本書從人機互動（HCI）研究者的角度探討了在各種日常環境中，互惠參與護理活動的研究。它挑戰了傳統的護理觀念，即護理是由提供者和接受者之間的單向過程，並強調當所有參與者都是積極貢獻者時，可以獲得的協同效果。通過多樣的案例研究，包括家庭和地方社區的動態，本書說明了共同生產如何提高護理的有效性，同時增強接受、提供和設計護理服務的人的個人賦權、社區參與和社會資本。研究認為，認識並利用所有利益相關者的能力，包括邊緣化成員，可以導致更有效和包容的護理系統設計與實施。本書建議共同生產可以重塑護理的認知和交付方式，並為HCI實踐者及其他相關領域提出設計以促進這種護理共同生產的研究實踐。

本書檢視了七個與各種共同生產護理情境相關的案例研究，包括探討不同能力的利益相關者如何在家庭動態中共同生產整體福祉和兒童照顧支持，以及與地方水質、志願者努力、災難救助計劃、食品安全倡議，甚至是集體環境中的啤酒釀造活動相關的情況。本書提供了一個全面的框架，以理解共同生產的護理，突顯其在促進個人平等和自主性方面的好處，並產生協同的集體成果，與傳統護理交付形成對比。

John M. Carroll is Distinguished Professor Emeritus of Information Sciences and Technology at the Pennsylvania State University. His research is in methods and theory in human-computer interaction, particularly as applied to Internet tools for collaborative learning and problem solving, and design of interactive information systems. His books include Toward a Structural Psychology of Cinema (Mouton, 1980), What's in a Name? (W. H. Freeman, 1985), The Nurnberg Funnel (MIT, 1990), Scenario-Based Design (McGraw Hill, 1995), Making Use (MIT, 2000), Usability Engineering (Morgan-Kaufmann, 2002, with M.B. Rosson), Rationale-Based Software Engineering (Springer, 2008, with J. Burge, R. McCall and I. Mistrik), The Neighborhood in the Internet (Routledge, 2012), and Innovative Practices in Teaching Information Sciences and Technology (Springer, 2014). Carroll serves on several advisory and editorial boards for journals, handbooks, and series. He is Editor of the Synthesis Lectures on Human-Centered Informatics. In 2021, he received Pioneer in HCI Award from IFIP TC13.

Jeongwon Jo is Ph.D. Candidate at the College of Information Science and Technology at Pennsylvania State University. She is Human-Computer Interaction (HCI) Researcher with a focus on community resilience, social computing, and online-mediated support. Her work appeared in leading computer-supported cooperative work and community informatics venues, including ACM CHI, ACM CSCW, ACM GoodIT, C&T, and iConference. She is interested in understanding how existing digital systems for peer-to-peer support misalign with the values of users and marginalized populations and redesigning them for more ethical directions.

Srishti Gupta received her Ph.D. in 2023 from the College of Information Sciences and Technology at Pennsylvania State University, where she was a member of the Collaboration and Innovation Lab led by Dr. John M. Carroll. She is currently a Visiting Assistant Professor at the University at Albany, State University of New York. Previously, she worked as a UX Researcher at the Healthcare Innovation and Technology Lab (HITLAB), a health informatics research lab based in New York City. Dr. Gupta's research lies at the intersection of Human-Centered AI, Sustainable HCI, and Social Computing. Her projects have included community-based environmental monitoring, emergency management in Indigenous communities, managing uncertainty in rare diseases, and improving learning and social outcomes for neurodiverse students.

Fanlu Gui is UX Researcher. She received her Ph.D. in informatics from the Pennsylvania State University. Her research has focused on exploring the use of technology to support community engagement in both local communities and online exercise groups. Her work has been published in venues such as the International Journal of Human-Computer Studies and the GROUP conference.

Jomara Sandbulte is Assistant Professor at the University of Minnesota at Duluth: Swenson College of Science and Engineering, Department of Computer Science. She received her Ph.D. in information sciences and technology at the Pennsylvania State University. She is Human-Computer Interaction (HCI) Researcher with an expertise in health informatics. Sandbulte's work explores how technology can be used to support individuals' health and well-being by examining existing systems and building alternatives. Her research has shed important light on health informatics in HCI and design research, and it has appeared in leading computing venues including the International Journal of Human-Computer Interaction (IJHCI) and the EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth). Prior to graduate school, she has worked in industry developing mobile devices solutions at Samsung Research, Latin America.

Ya-Fang Lee is Passionate HCI Researcher and Ph.D. Student at Penn State University, mentored by Prof. John Carroll. Her research intersects computer-mediated communication and ubiquitous computing, focusing on creating supportive systems through qualitative research and design methodologies. Committed to social and environmental sustainability, her objectives include designing technological innovations that enhance mental wellness, motivate individuals toward their long-term goals, and encourage prosocial behaviors. Specifically, Ya-Fang's work on everyday technology aims to leverage professional and social support to facilitate positive behavioral changes and strengthen close relationships.

Sooyeon Lee, Ph.D., is Assistant Professor in the Department of Informatics in the Ying Wu College of Computing at New Jersey Institute of Technology (NJIT). She received her B.S. summa cum laude from the Pennsylvania State University and her Ph.D. in information sciences and technology from the Pennsylvania State University. Lee performs research on accessible AI technology, AI-powered assistive technology, and Human-AI collaboration/interaction for the community of the blind and deaf and hard of hearing users. Her goal is to empower and augment capabilities and promote inclusive experiences in both personal and social spaces through new technologies. Her work has been published in top-tier human-computer interaction and computing accessibility journals and conferences, including ACM Conference on Human Factors in Computing Systems (CHI), ACM SIGACCESS Conference on Computers and Accessibility (ASSETS), and ACM SIGCHI Conferences on Computer-Supported Cooperative Work and Social Computing (CSCW).

Tiffany Knearem received her Ph.D. in information sciences and technology from Pennsylvania State University in 2021, advised by Dr. John M. Carroll. Her dissertation focused on understanding and enabling community innovation through information and communication technologies, specifically, community-based care during COVID-19. She is an Affiliated Assistant Professor at MBZUAI and a User Research Consultant, formerly of Google and Meta. Her recent research interests span topics of human-AI alignment, AI-supported design workflows and community informatics. Prior to her career in research, she taught English abroad in Japan through the Japan Exchange and teaching Program (JET). Her undergraduate background lies in the humanities, having received dual Bachelor of Arts degrees in Psychology and East Asian Languages and Cultures from the University of Kansas.

Chun-Hua Tsai is Assistant Professor in the Department of Information Systems and Quantitative Analysis (ISQA) at the College of Information Science & Technology, University of Nebraska at Omaha (UNO). He obtained Ph.D. from the University of Pittsburgh. His research focuses on the convergence of HCI, IUI, and AI. He strives to develop transparent and trustworthy AI systems using data-driven and human-centered computing approaches. By utilizing mixed methods, he investigates user interactions and experiences with AI-driven systems, aiming to design solutions that enhance human-AI interaction and empower non-expert users and marginalized groups. Broadly, his research generates insights into how users engage with AI systems and provides practical recommendations for designing controllable and explainable AI mechanisms, fostering meaningful interactions with AI systems.

約翰·M·卡羅爾（John M. Carroll）是賓夕法尼亞州立大學資訊科學與技術的榮譽特聘教授。他的研究專注於人機互動的方法與理論，特別是應用於協作學習和問題解決的網路工具，以及互動資訊系統的設計。他的著作包括《電影的結構心理學》（Toward a Structural Psychology of Cinema，Mouton，1980）、《名字裡有什麼？》（What's in a Name?，W. H. Freeman，1985）、《紐倫堡漏斗》（The Nurnberg Funnel，MIT，1990）、《情境導向設計》（Scenario-Based Design，McGraw Hill，1995）、《善用》（Making Use，MIT，2000）、《可用性工程》（Usability Engineering，Morgan-Kaufmann，2002，與M.B. Rosson合著）、《基於理論的軟體工程》（Rationale-Based Software Engineering，Springer，2008，與J. Burge、R. McCall和I. Mistrik合著）、《網路中的鄰里》（The Neighborhood in the Internet，Routledge，2012）以及《資訊科學與技術教學中的創新實踐》（Innovative Practices in Teaching Information Sciences and Technology，Springer，2014）。卡羅爾擔任多個期刊、手冊和系列的顧問及編輯委員會成員。他是《以人為中心的資訊學綜合講座》（Synthesis Lectures on Human-Centered Informatics）的編輯。2021年，他獲得了IFIP TC13頒發的人機互動先驅獎（Pioneer in HCI Award）。

趙正媛（Jeongwon Jo）是賓夕法尼亞州立大學資訊科學與技術學院的博士候選人。她是一名專注於社區韌性、社會計算和線上媒介支持的人機互動（HCI）研究者。她的研究成果發表於領先的計算機支持協作工作和社區資訊學的會議，包括ACM CHI、ACM CSCW、ACM GoodIT、C&T和iConference。她對於理解現有的點對點支持數位系統如何與用戶及邊緣化群體的價值觀不一致，以及重新設計這些系統以朝向更具倫理方向的問題感興趣。

斯里什提·古普塔（Srishti Gupta）於2023年在賓夕法尼亞州立大學資訊科學與技術學院獲得博士學位，並曾是約翰·M·卡羅爾博士所領導的合作與創新實驗室的成員。她目前是紐約州立大學奧爾巴尼分校的訪問助理教授。之前，她在位於紐約市的健康創新與技術實驗室（HITLAB）擔任用戶體驗研究員。古普塔博士的研究位於以人為中心的人工智慧、可持續人機互動和社會計算的交集。她的項目包括基於社區的環境監測、原住民社區的緊急管理、罕見疾病中的不確定性管理，以及改善神經多樣性學生的學習和社交成果。

桂凡璐（Fanlu Gui）是用戶體驗研究員。她在賓夕法尼亞州立大學獲得資訊學博士學位。她的研究專注於探索技術如何支持地方社區和線上運動小組的社區參與。她的研究成果發表於《國際人機研究期刊》（International Journal of Human-Computer Studies）和GROUP會議等場域。

喬瑪拉·桑德布爾特（Jomara Sandbulte）是明尼蘇達大學杜魯斯分校斯文森科學與工程學院計算機科學系的助理教授。她在賓夕法尼亞州立大學獲得資訊科學與技術博士學位。她是一名專注於健康資訊學的人機互動（HCI）研究者。桑德布爾特的研究探討如何利用技術支持個人的健康與福祉，通過檢視現有系統並建立替代方案。她的研究為人機互動和設計研究中的健康資訊學提供了重要的見解，並發表於包括《國際人機互動期刊》（International Journal of Human-Computer Interaction）和EAI國際會議上的健康護理普及計算技術（PervasiveHealth）等領先的計算場域。在研究生院之前，她曾在三星研究拉丁美洲部門開發移動設備解決方案。

李雅芳（Ya-Fang Lee）是一名熱情的人機互動研究者及賓夕法尼亞州立大學的博士生，受約翰·卡羅爾教授指導。她的研究交叉於計算機媒介溝通和無處不在的計算，專注於通過質性研究和設計方法創建支持性系統。她致力於社會和環境的可持續性，目標包括設計能增進心理健康、激勵個人朝向長期目標以及鼓勵親社會行為的技術創新。具體而言，雅芳的日常技術研究旨在利用專業和社會支持促進積極的行為改變並加強親密關係。

李秀妍（Sooyeon Lee）博士是新澤西理工學院（NJIT）資訊學系的助理教授。她以優異的成績獲得賓夕法尼亞州立大學的學士學位，並在該校獲得資訊科學與技術博士學位。李博士的研究專注於可及的人工智慧技術、人工智慧驅動的輔助技術，以及為盲人和聽障及重聽用戶提供的人工智慧合作/互動。她的目標是通過新技術賦能和增強能力，並促進個人和社交空間中的包容性體驗。她的研究成果發表於頂尖的人機互動和計算可及性期刊及會議，包括ACM人因計算系統會議（CHI）、ACM SIGACCESS計算機與可及性會議（ASSETS）以及ACM SIGCHI計算機支持的協作工作與社會計算會議（CSCW）。

蒂芙尼·克尼亞瑞姆（Tiffany Knearem）於2021年在賓夕法尼亞州立大學獲得資訊科學與技術博士學位，指導教授為約翰·M·卡羅爾博士。她的論文專注於通過資訊和通信技術理解和促進社區創新，特別是在COVID-19期間的社區護理。她是MBZUAI的附屬助理教授和用戶研究顧問，曾在Google和Meta工作。她最近的研究興趣涵蓋人機對齊、人工智慧支持的設計工作流程和社區資訊學。在從事研究之前，她曾通過日本交流與教學計劃（JET）在日本教授英語。她的本科背景為人文學科，獲得堪薩斯大學心理學和東亞語言文化的雙學士學位。

蔡俊華（Chun-Hua Tsai）是內布拉斯加州奧馬哈大學（UNO）資訊科學與定量分析系的助理教授。他在匹茲堡大學獲得博士學位。他的研究專注於人機互動（HCI）、智能用戶介面（IUI）和人工智慧（AI）的融合。他致力於使用數據驅動和以人為中心的計算方法開發透明和可信的人工智慧系統。通過混合方法，他研究用戶與人工智慧驅動系統的互動和體驗，旨在設計增強人機互動並賦能非專家用戶和邊緣化群體的解決方案。廣義上，他的研究提供了用戶如何與人工智慧系統互動的見解，並為設計可控和可解釋的人工智慧機制提供實用建議，促進與人工智慧系統的有意義互動。