Annalena Aicher is a Scientific Associate at the Chair of Human-Centered Artificial Intelligence within the Institute of Computer Science, Faculty of Applied Computer Science, University of Augsburg. Her work focuses on argumentative dialogue systems, conversational AI, and multimodal interfaces. Research Interests Argumentative Dialogue Systems Conversational AI User Modeling Cognitive Biases Multimodal Interfaces Sign Language Recognition Recent Article Trends Her publications center on dialogue systems for argumentation, filter bubble modeling, user engagement metrics, and multimodal interaction frameworks. Key subfields include natural language processing, affective computing, and AI ethics. Projects FORSocialRobots BIGEKO TherapAI BEA (Building Engaging Argumentation) MindBot DIGISTA
Eduardo Davalos is an Assistant Professor in the Computer Science department at Trinity University in San Antonio, Texas. His work focuses on the intersection of AI in Education (AIED), Human-Computer Interaction (HCI), and Large Language Models (LLMs), with the aim of developing technologies that enhance learning experiences while reducing teacher workload through privacy-preserving, browser-native approaches. Dr. Davalos received his academic training at: B.S. in Electrical Engineering from St. Mary's University M.S. in Electrical Engineering from St. Mary's University Ph.D. in Computer Science from Vanderbilt University His research centers on developing technologies that translate into scalable learning solutions, with particular emphasis on browser-based sensing and modeling. Dr. Davalos is currently developing RedForest, a next-generation e-learning platform that combines AI, gamification, online collaboration, and domain-specific activities to enhance learning while providing AI-assisted lesson planning. His work bridges computer science, cognitive science, and educational psychology, with applications across multiple domains including literacy, nursing education, computer science education, and physics. He has developed WebEyeTrack, a head-pose-aware, deep-learning gaze estimation framework for browsers that runs entirely on-device. Analysis of Dr. Davalos's publications reveals a clear trajectory from foundational technology development (like WebEyeTrack) to sophisticated educational applications using LLMs for data analysis. His work consistently emphasizes practical, teacher-friendly tools that can be deployed in real classrooms without compromising student privacy. The research spans multiple educational contexts and demonstrates strong interdisciplinary collaboration, particularly with experts in cognitive science, psychology, and domain-specific education fields. Dr. Davalos leads the RedForest Lab, which focuses on creating learning technologies that benefit both students and teachers. His research has been supported by grants from the Institute of Education Sciences, U.S. Department of Education (Grants R305A150199 and R305A210347 to Vanderbilt University), indicating recognition of the importance and potential impact of his work in educational technology.
Laurent Grisoni is a Lecturer at IRCICA (Haute Borne), Lille, France, affiliated with the CRIStAL research laboratory (Centre de Recherche en Informatique, Signal et Automatique de Lille) under the University of Lille. He is a core member of the MINT research team, specializing in Human-Computer Interaction (HCI) with emphasis on novel interaction techniques and user experience design. His research spans gesture recognition, haptic feedback systems, virtual/augmented reality, and proxemic interaction. Key investigations include no-look gesture interfaces using haptic feedback, arm fatigue during mid-air interactions, programmable friction displays, and data fusion methods for co-located collaboration. His work integrates computer vision with augmented reality to solve real-world HCI challenges, particularly in mobile and performance contexts. Dr. Grisoni has supervised 10 PhD theses, including: Martin Birlouez (2024): No-look gesture interaction with haptic feedback Farzan Kalantari: Semi-private proxemic interaction for collaboration Pierrick Uro (2018): Haptic feedback with programmable friction Vincent Reynaert (2020): Spectator experience in digital performances Hanaë Rateau (2021): Arm fatigue in mid-air gestural VR Raphael Delecluse (2021): Hand gesture recognition via computer vision His research within the MINT team at IRCICA drives innovation in interactive systems, focusing on practical applications of multi-sensory interfaces while addressing fundamental challenges in user fatigue, privacy, and collaborative dynamics.
Prof. Dr.-Ing. Frank Wallhoff is a Professor for Assistive Technologies at Jade University of Applied Sciences since 2010. He serves as Dean of the Department of Civil Engineering Geoinformation Health Technology and Head of the Institute for Technical Assistance Systems. His career spans over two decades with significant contributions to human-machine interaction, cognitive systems, and assistive technologies. Previously, he worked at Technische Universität München from 1997-2010 where he completed his doctorate and served as a postdoc and Akademischer Rat. His educational background includes: 1988-1991: School education with A-level/high school graduation 1991-1992: Certified Engineer's Assistant 1993-1999: Study of electrical engineering 2002-2006: Doctorate at Technische Universität München on face detection, identification, and emotion recognition Wallhoff's research focuses on the intersection of technology and human needs, particularly in assistive technologies for aging populations and human-robot interaction. His work spans cognitive systems with learning capabilities, social robotics, ambient assisted living, pattern recognition, machine learning, human-machine interaction, and facial expression recognition. He has developed significant databases like the FG-NET Database with Facial Expressions and Emotions, which has been widely used in emotion recognition research. His recent publications (2015-2018) reveal a strong trend toward practical applications of human-robot interaction in healthcare, rehabilitation, and daily living assistance. His work increasingly integrates multimodal sensing, machine learning, and context-aware systems to create adaptive assistance technologies. Key areas include motion exercise recognition for rehabilitation, 3D visualization for underwater vehicle control, and robust human-robot dialogue systems for production environments. His scientific recognition includes: Best Paper Award for 'Experimental Platform for Wizard-of-Oz Evaluations of Biomimetic Active Vision in Robots' at IEEE International Conference on Robotics and Biomimetics (Robio), 2009 Wallhoff has secured significant research funding including the EITAMS project (€1.5 million from Lower Saxony Volkswagen Advance Programme) focused on affordable underwater vehicle systems, and the INTERREG project 'Vital Regions' (2017-2020) developing technologies to support elderly in rural areas. He coordinates the ALIAS project (Adaptable Ambient Living Assistant) and has led multiple projects within the Cluster of Excellence CoTeSys, including JAHIR, ACIPE, EYETRACK, and RealEYE. His research bridges academic innovation with practical applications, particularly in healthcare technology and assistive systems. He leads the Institute for Technical Assistance Systems at Jade University, where his team develops innovative solutions at the intersection of cognitive systems, human-robot interaction, and assistive technologies. Current initiatives focus on underwater robotics for maritime applications, rehabilitation technologies using motion tracking, and ambient assisted living systems for elderly care.
Naimul Hoque is an Assistant Professor in the Department of Computer Science at the University of Iowa, within the College of Liberal Arts and Sciences. His research is centered on the intersection of Human-Computer Interaction (HCI), Information Visualization, and Artificial Intelligence, with a focus on fairness, transparency, provenance, and accessibility in AI-assisted applications. His educational background includes a Ph.D. in Information Studies from the University of Maryland, College Park; a Master’s in Computer Science from Stony Brook University; and a BSc in Computer Science from the University of Dhaka, Bangladesh. Hoque's research explores how visualization can enhance human understanding and trust in AI systems. Key themes include explainable AI , intelligent writing assistants , accessible data representation , and social bias detection . His work emphasizes inclusive and ethical design, particularly in media and creative applications. His recent publications span top venues like ACM CHI, IEEE VIS, ACM CSCW, and ACM DIS, showing a consistent focus on interactive, human-centered AI tools. Trends include the development of design spaces for writing assistants, provenance tracking in AI-generated text, and multimodal interfaces for diverse user needs. Although no formal scientific awards are listed in the provided text, his work has been accepted in premier conferences, and he is actively contributing to the research community through workshops and collaborative projects. Hoque advises students and leads interdisciplinary collaborations involving HCI, NLP, education, and social computing. He is involved in organizing the workshop on accessible visualization at IEEE VIS and maintains active projects such as DashGuide, HaLLMark, and Belief Miner. He began his faculty position at the University of Iowa in January 2025, indicating active research and teaching engagement. He is associated with research labs and teams focused on human-centered AI and visualization, including collaborations with researchers across HCI, NLP, and education. His project A Design Space for Intelligent Writing Assistants is a living artifact maintained on GitHub, inviting community contributions.
Juho Kim is an Associate Professor in the School of Computing at KAIST, where he directs KIXLAB (the KAIST Interaction Lab). He is also affiliated faculty in the Kim Jaechul Graduate School of AI at KAIST. His academic journey includes a Ph.D. from MIT, M.S. from Stanford University, and B.S. from Seoul National University. From 2015-2016, he served as a Visiting Assistant Professor and Brown Fellow at Stanford University. His educational background includes: Ph.D. in EECS from MIT M.S. in Computer Science from Stanford University B.S. in Computer Science and Engineering from Seoul National University Professor Kim's research in human-computer interaction and human-AI interaction focuses on building interactive and intelligent systems that support interaction at scale, aiming to improve the ways people learn, collaborate, discuss, make decisions, and take action online. His work spans several key areas including educational technology, online collaboration platforms, AI-powered learning systems, and tools for human-AI collaboration. He is particularly interested in how interactive systems can scale to support large numbers of users while maintaining quality interactions. His recent publications show a strong trend toward human-AI interaction, with particular emphasis on educational applications, collaborative systems, and addressing challenges in AI reliability and user experience. His work often combines technical innovation with rigorous user studies to evaluate real-world impact. Professor Kim has received numerous scientific awards including a KIISE/IEEE-CS Young Computer Researcher Award, KAIST's Songam Distinguished Research Award, Grand Prize in Creative Teaching, Q-Day Creative Education Award, and Excellence in Teaching Award. He has also received nearly 20 paper awards from top conferences including ACM CHI, ACM CSCW, ACM Learning at Scale, ACM IUI, ACM DIS, and AAAI HCOMP. KIISE/IEEE-CS Young Computer Researcher Award KAIST's Songam Distinguished Research Award Grand Prize in Creative Teaching Q-Day Creative Education Award Excellence in Teaching Award Nearly 20 paper awards from ACM CHI, ACM CSCW, ACM Learning at Scale, ACM IUI, ACM DIS, and AAAI HCOMP KAIST Global Research Cooperation Award Outstanding Ethics Professor Award from KAIST Graduate Student Association Professor Kim actively mentors students at all levels, with a substantial roster of Ph.D. and M.S. students. His recent sabbatical year was spent as a chief scientist at Ringle Inc. to transfer his research on AI-powered analysis and diagnosis of English learners' proficiency into real products. He is also an Educational Innovation Advisor at KAIST, with the mission to promote AI-applied teaching and learning in the university. Professor Kim directs KIXLAB (the KAIST Interaction Lab), which focuses on human-AI interaction research. The lab brings together students and researchers from diverse backgrounds to work on projects that bridge interactive systems and artificial intelligence. KIXLAB has established collaborations with industry partners and regularly contributes to top-tier conferences in HCI and AI.
Rob Kitchin is Professor in the Maynooth University Social Sciences Institute (MUSSI) and the Department of Geography at Maynooth University (National University of Ireland, Maynooth). Since 1998 he has directed or co-directed several flagship interdisciplinary centres, including the National Institute for Regional and Spatial Analysis (2002–2013), the Digital Repository of Ireland (2009–2017) and the All-Island Research Observatory (2005–2017), and currently leads the ERC-funded Data Stories project (2022–2027). Education PhD Geography, University of Wales Swansea (1992–1995) MSc Geographical Information Systems, University of Leicester (1991–1992) BSc (Hons) Geography, University of Lancaster (1988–1991) Research Interests Rob’s work sits at the intersection of human geography , digital geographies and urban studies . He interrogates how software, big data, algorithms and spatial media reshape cities, governance and everyday life, with particular attention to questions of social justice, ethics and power. His research clusters include smart cities and urban science, software studies and code/space, cartographic theory and dashboards, data infrastructures and practices, and social geography of Ireland. Scientific Awards Maynooth University Research Achievement Award 2018 (inaugural, university-wide) Royal Irish Academy Gold Medal for the Social Sciences 2013 ERC Advanced Investigator Award 2013 ( The Programmable City ) Meridian Book Award 2011 (Association of American Geographers) Cantemir Prize 2012 (Berendel Foundation) Elected Member of the Royal Irish Academy 2015 Media Achievement Award 2015 (AAG) Numerous national e-government and geography prizes Research Funding & Leadership Principal or co-investigator on 50 funded projects worth c. €39 million from ERC, SFI, HEA, ESRC, NSF, RIA and others. Recent roles include PI of Data Stories (ERC, €2.5 m, 2022–2027), Building City Dashboards (SFI, €2.35 m, 2016–2021) and The Programmable City (ERC, €2.31 m, 2013–2018). He previously directed the National Institute for Regional and Spatial Analysis (2002–2013) and the Digital Repository of Ireland (2009–2017). Labs, Teams & Editorial Roles Rob leads the Programmable City and Data Stories research teams at Maynooth, supervising post-docs and graduate researchers across geography, computer science and urban planning. He is Editor-in-Chief of Dialogues on Digital Society (2024–), former Managing Editor of Dialogues in Human Geography (2011–2020) and Social & Cultural Geography (2000–2009), and Editor-in-Chief of the 12-volume International Encyclopedia of Human Geography .
Jonggi Hong is an Assistant Professor in the Department of Computer Science at Stevens Institute of Technology, affiliated with the Charles V. Schaefer, Jr. School of Engineering and Science. He holds a PhD from the University of Maryland (2021) and MS/BS degrees from KAIST (2014/2012). His research focuses on accessibility technologies, human-computer interaction (HCI), and AI applications, particularly addressing challenges for visually impaired users through machine learning and assistive systems. He has conducted research at Microsoft Research, Adobe Research, and the Smith-Kettlewell Eye Research Institute. His work explores user-system interactions via quantitative and qualitative methods, including studies on speech/image recognition errors, VR training for blind photography, and wearable haptic interfaces. Key projects include teachable object recognizers for non-experts and error detection in digital content. Hong serves as a Workshop Chair and Program Committee member for the ACM SIGACCESS ASSETS conference, promoting inclusive design principles in technology. Publications span venues like CHI, ASSETS, and W4A, emphasizing real-world accessibility solutions. His grants and advising activities are not explicitly listed, but he leads research on assistive machines, inclusive design, and AI-infused systems. Hong actively contributes to professional societies like ACM and maintains affiliations with labs such as the Intelligent Assistive Machines Lab.
Gilly Leshed is a Senior Lecturer and Director of the MPS program in Cornell University’s Department of Information Science. She holds a PhD from Cornell (2009) and degrees from Technion – Israel Institute of Technology, specializing in Human-Computer Interaction (HCI) and Computer-Supported Cooperative Work (CSCW). Her work bridges academic and industry experience, including roles as an HCI expert in aviation and military systems. Research Focus: HCI, CSCW, social computing, and ethical technology design Teaching: Courses on HCI design, qualitative research methods, and online communities Her research explores technology’s role in social interactions, including mindfulness tech, inclusive videoconferencing, and combating xenophobia through social media analysis. Notable projects include the Xenophobia Meter for tracking anti-immigrant sentiment and the Re-envisioning Remote Meetings initiative with people who stutter. Awards include Best Paper recognitions at CHI and ACM conferences. Education: PhD in Information Science, Cornell University (2009) MS in Information Management Engineering, Technion (2003) BS in Industrial Engineering, Technion (2000) Lab Affiliations: Leads the Digital Tech & Innovation Project Team and collaborates on community-building artifacts like communIT. Serves as a faculty house fellow at William Keeton House.
Jiamin Dai is a Research Fellow at the Department of Computer Science, University of British Columbia, affiliated with the eDAPT Lab led by Dr. Joanna McGrenere. Their work focuses on interactive technologies that address personalization, universal usability, and Computer Supported Cooperative Work (CSCW), with applications for diverse users including those with cognitive impairments and aging populations. Ph.D. in Information Studies, McGill University Master of Information Studies, McGill University B.Sc. in Educational Technology, Shanghai International Studies University Research Interests include: Human-Computer Interaction (HCI) Digital Accessibility for Cognitive Impairments Universal Usability in Technology Design Gerontechnology for Aging Populations User Experience (UX) in Situational Impairments Social Computing for Diverse Communities Recent Publications highlight cognitive accessibility in digital payments (W4A’23) and social sharing solutions for dementia communities (TACCESS), alongside explorations of personal data curation (DIS 2020) and eyes-reduced interaction (CHI 2020). Scientific Awards include prestigious fellowships and scholarships from NSERC, EPIC-AT, Mitacs, the Wolfe Chair, and FRQNT. The eDAPT Lab at UBC, where Jiamin Dai is based, employs a human-centered approach to design technologies that adapt to user needs, ranging from situational impairments to permanent disabilities, using methodologies like qualitative fieldwork and quantitative experiments.
Dr. Aloha Ambe is a Postdoctoral Research Fellow at the School of Electrical Engineering and Computer Science within the University of Queensland's Faculty of Engineering, Architecture and Information Technology. Her research bridges human-computer interaction, aging technology, and participatory design, with particular focus on creating inclusive digital experiences for older adults. Her educational background includes: PhD in Computer-Human Interaction from Queensland University of Technology Master's in Information Technology from Ateneo de Manila University Bachelor's in Information Technology from Mindanao State University Ambe's research explores three interconnected domains: Aging and accessibility : Challenging ageist assumptions in technology design while developing inclusive systems for elderly populations IoT and everyday interactions : Examining how augmented objects influence social connections and domestic routines Human-AI collaboration : Designing healthcare decision support systems that respect clinical workflows and information needs Her publication corpus demonstrates strong emphasis on participatory methodologies, with 80% of recent works involving co-design approaches with elderly participants. Thematically, her work evolves from foundational IoT studies toward healthcare applications and critical examinations of technology ethics. Ambe actively contributes to the HCI community through memberships in ACM SIGCHI and Brisbane SIGCHI, and is currently available for student supervision.
Steven Moore is a prolific researcher in educational data mining, AI in education, and learning analytics. He has co-authored 43 indexed works from 2011 to 2025, collaborating extensively with scholars such as John C. Stamper and Huy Anh Nguyen. His research addresses crowdsourcing in education, automated question generation, knowledge component extraction, and the application of generative AI to instructional design. Research Interests: Educational Data Mining & Learning Analytics AI-driven Assessment & Question Generation Crowdsourcing & Learnersourcing at Scale Generative AI for Curriculum and Content Design Human-Computer Interaction in Learning Systems Across his recent publications, Moore explores how large language models and automated toolkits can enhance the quality and scalability of educational content. His work increasingly integrates advanced NLP techniques—such as GPT-4-based evaluation—with rule-based systems to support both formative and summative assessment processes.
Dominique Bohrmann is a Postdoctoral Researcher in the Human-Computer Interaction (HCI) group at the University of Trier’s Faculty of Computer Science (Faculty IV) . He completed his PhD in Human Factors at the Technical University of Munich (TUM School of Engineering and Design), focusing on automotive human factors and motion sickness mitigation in automated vehicles through collaborations with Mercedes-Benz AG. At Trier, he leads the interdisciplinary FlexiTeams project, using artificial intelligence to optimize crisis management strategies for emergency teams during events like the COVID-19 pandemic. His research integrates human-machine interface design with industrial and organizational psychology insights. Education: PhD in Human Factors, TU Munich (TUM School of Engineering and Design) Previous academic and professional work in automotive safety and accessibility Research Focus: Human factors in automated vehicles, AI-driven crisis management, ergonomic vehicle interior design, and accessibility for mobility-impaired passengers. His work bridges engineering and social sciences to enhance user-centered mobility solutions. Key Collaborations: German Research Center for Artificial Intelligence (DFKI), University of Trier’s Department of Industrial/Organizational Psychology, and Mercedes-Benz AG. Labs/Teams: Core member of the HCI group at Trier University, actively involved in the FlexiTeams project and automotive safety research initiatives.
James L. Crowley is a Professor at Grenoble INP (Grenoble Polytechnique Institute) within the University Grenoble Alpes. He teaches Computer Vision, Machine Learning, and Artificial Intelligence, and leads the Pervasive Interaction research group at INRIA Grenoble Rhône-Alpes. His research spans over 35 years, focusing on computer vision, robotics, and multimodal interaction, including foundational work in scale-invariant vision, robot localization, and human-computer interaction. Current interests include context-aware systems, ambient intelligence, and next-generation interaction paradigms. Research Contributions: - Pioneered innovations in computer vision and mobile robotics. - Advanced appearance-based techniques and multimodal perception for HCI. - Organized seminal events such as the 1st International Conference on Multimodal Interfaces (ICMI) in 1996 and contributed to the ACM Transactions on Interactive Intelligent Systems. - Explored smart environments and multimodal interaction systems between 1990-2010. - Investigates integration of deep learning, cloud computing, and cognitive science for adaptive human-centered systems. Keynote Focus: Recapped 30 years of multimodal interaction research, emphasizing technological shifts (e.g., deep learning) and future challenges in human-centric AI. Grants & Labs: - Directs the Pervasive Interaction group at INRIA. - No specific grants or student names listed in the text. Awards: None explicitly mentioned.
Ali Askari is an academic and industry professional with expertise in Human-Computer Interaction (HCI), Virtual/Augmented Reality, and Automotive User Interfaces. He holds an M.Sc. in Media Informatics from the University of Ulm and has conducted research at the HCI Group and Institute of Media Informatics. His roles have included Research Assistant, Assistant Lecturer, and PhD Candidate (supervised by University of Ulm) exploring depth perception in AR at BMW AG. He has taught courses like 'Sketching with Hardware I & II' and contributed to projects like KoFFI and SituWare. His research focuses on user experience in immersive technologies, driver-vehicle interaction, and tangible fabrication methods. Key projects include DungeonMaker (hybrid board games with 3D printing) and VAMPIRE (haptic feedback in automated driving VR simulations). He has authored/co-authored 7 peer-reviewed publications from 2020-2025, focusing on HCI challenges in AR/VR, automotive systems, and prototyping. Professional experience includes roles as Senior Consultant & Software Developer at Objektkultur GmbH and prior industry work at Share&Charge and LVM Versicherung. His technical skills span Java, JavaScript, 3D modeling, and agile methodologies.
