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Author Biographies
Krzysztof Arent received the M.Sc. degree in control engineering from the Wrocław University of Technology, Poland, in 1991 and a Ph.D. degree in applied mathematics from the University of Twente, The Netherlands, in 1995. He currently works as an assistant professor at the Institute of Computer Engineering, Control and Robotics, Department of Electronics, Wrocław University of Technology. His current research interests include the dynamics and control of robotic systems, adaptive control and social robots.
Jeong-gun Choi is a PhD candidate in the Department of Industrial Design at KAIST. He has been a researcher in Product and Environmental System Design Laboratory in KAIST since 2005. His current research is concerned with anthropomorphism and Human Robot Interaction. He has worked on robot design research projects with several domestic research institutions or companies (eg. ETRI, KT, Hanwool Robotics, ITRC-IRRC). He is also a multi-disciplinary design practitioner with experience spanning product, communication and environmental design.
J. Edward Colgate received the Ph.D. degree in mechanical engineering in 1988 from M.I.T. He subsequently joined Northwestern University, where he is currently a professor in the Department of Mechanical Engineering. Dr. Colgate's principal research interest is human-robot interaction. He has worked extensively in the areas of haptic interface and teleoperation, and he (with Michael A. Peshkin), is the inventor of a class of collaborative robots known as “cobots.” He has served as an associate editor of the Journal of Dynamic Systems, Measurement and Control and the IEEE Transactions on Robotics, and he is the founding Editor-in-Chief of the IEEE Transactions on Haptics. He is also a cofounder of Stanley Cobotics and of Kinea Design. Dr. Colgate is currently the co-Director (with Don Norman) of the Segal Design Institute at Northwestern University.
Kerstin Dautenhahn is Professor in the School of Computer Science at the University of Hertfordshire, where she coordinates the Adaptive Systems Research Group. She received her PhD degree from the Biological Cybernetics Department, University of Bielefeld, Bielefeld, Germany, in 1993. She has pioneered research in social robotics, human–robot interaction and assistive technology, and has published more than 200 research articles. She has edited several books and frequently gives invited keynote lectures at international
154 Author Biographics
meetings. She has been Principal Investigator of her research team in several European projects. She is Editor-in-Chief of the journal Interaction Studies: Social Behavior and Communication in Biological and Artificial Systems.
Brian P. DeJong received the Ph.D. degree in mechanical engineering from Northwestern University in 2007. His doctoral research focused on haptic cyclic robots for lower limb exercise. Since then, he has been a professor of mechanical engineering in the School of Engineering and Technology at Central Michigan University. His primary research interest is in using auditory occupancy grids with a mobile robot, although he has concurrent research in robotics, teleoperation, human-robot interfaces, lower-limb exercise robots, and haptics.
Mohammad Firoozabadi received the B.Sc. Degree in electronics engineering from University of Tabriz, in 1987, the M.Sc. degree in electronics engineering from Amir-Kabir University of Technology, Tehran, in 1991, and the Ph.D. Degree in electrical engineering (biomedical engineering) from Tarbiat Modares University, Tehran, Iran, in 1997. His research and teaching interests include theory and application of Human-Machine Interaction, bio-electromagnetics, bioelectric phenomena and electrophysiology, bio-instrumentation, and biological signal processing. Prof. Firoozabadi currently serves as a Professor of Biomedical Engineering, Deputy Dean of Medical Sciences Faculty at Tarbiat Modares University, and President of Iranian Society of Biomedical Engineering. Mohammad is the founder of Center of Advanced Researches and Technologies for Empowering and Mind Engin- eering (CARTEME) at Science and Research Branch, Islamic Azad University. He has published over 220 papers in peer reviewed journals and international conferences.
Wei-Han Hung , a National Taiwan University (NTU) Masters graduate, is currently a Ph.D. student in the Department of Civil Engineering. His Masters focused on research in robot and visualization, which included the patrol path planning of a security robot, crane simulation, and virtual construction sites. Currently his research interest is developing path-planning methods for single and cooperative crane erections. He received “Best Student Presentation” award in CONVR, an international conference on construction applications of virtual reality.
Takeo Igarashi is an associate professor at the computer science department, at the University of Tokyo. He is also directing the Igarashi Design Interface Project, JST/ERATO. He received his Ph.D from the department of information engineering, the University of Tokyo in 2000. His research interest is in user interface in general and his current focus is on interaction techniques for 3D graphics and robots. He received the ACM SIGGRAPH 2006 significant new researcher award and the Katayanagi Prize in Computer Science.
156 Author Biographics
HRI. Her research method in HRI combines social psychology such as intergroup relations and psychological distance. Her research aim is to make designer design product with their intention and also to make user use product with various ways based on their cultural, environmental, and social attribution.
Kheng Lee Koay received his B.Sc. degree in robotics and automated systems and Ph.D. degree from the University of Plymouth, U.K. in 1997 and 2003, respectively. He is currently a Postdoctoral Researcher at the Adaptive Systems Research Group at the University of Hertfordshire, U.K. His research interests include Mobile Robotics, Human-Robot Interaction and Agent Migration. He was involved in the FP6 European project Cogniron and is currently working in the FP7 European project LIREC.
Bogdan Kreczmer received the M.Sc. degree in control in engineering from the Wrocław University of Technology, Poland, in 1986 and also M.Sc. degree in computer science, in 1988. He received the Ph.D. degree in robotics from the Wrocław University of Technology in 1997. He currently works as an assistant professor at the Institute of Computer Engineering, Control and Robotics, Department of Electronics, Wrocław University of Technology. His current research interests include the ultrasonic sensing and sensor data processing and mobile robot navigation.
Peter Liu received his B.Sc. and Ph.D. degrees in electrical engineering from Chung-Yuan Christian University, Chungli, Taiwan, in 1998 and 2002, respectively. In 2009, he received his MBA degree from National Taiwan University, Taipei, Taiwan. From 2002 to 2007, he was a senior researcher in the wireless BU of BenQ Corporations, Taiwan. He was an affiliated researcher from 2007 to 2009 in Robotics Lab, Department of Civil Engineering, National Taiwan University. From 2009, he joined the faculty of Department of Electrical Engineering, Tamkang University in Taipei, where he is currently an Assistant Professor.
Łukasz Małek received his M.Sc. degree in control engineering and robotics from the Wrocław University of Technology in 2005. Currently, he is a Ph.D. student at the same university. He also received an M.Sc. degree in mathematics from the Wrocław University of Technology in 2007. His research interests include motion planning as well as social robots design.
Kwangmyung Oh is a Ph.D. candidate in the Department of Industrial Design at KAIST. He was trained as a product designer through the BS and MS programs in the same department and as an interaction design researcher through his involvement in various HRI design projects, such as Ubiquitous Robot Companion (URC) design and emotional robot development. His research interests lie in the fields of user experience design, user-product relationship, and design prototyping for user research. His Ph.D. research focuses on the development of a theoretical experience model for robotic products to assist
Author Biographics 157
designers in better understanding the interaction dynamics between users and robotic products. In order to build this, he has been conducting HRI experiments through social attribute-centered approaches.
Michael A. Peshkin received the Ph.D. degree in physics from Carnegie-Mellon University in 1986. Since then, he has been a professor in the Department of Mechanical Engineering at Northwestern University where his research interests include physical human-robot interaction, haptics, rehabilitation robots, and sensors. He has served as associate editor for the IEEE Transactions on Robotics, chairs of various conference boards, and a member of the Robotics Council for the Robotics and Human Augmentation Program of the National Science Foundation. He is the co-inventor (with J. Edward Colgate) of the class of collaborative robots called “cobots”, and holds various patents in robotics and sensors. Dr. Peshkin is also a cofounder of the companies Kinea Design, Cobotics, and Mako Surgical.
Iman Mohammad Rezazadeh received the B.Sc and M.Sc. degree in Biomedical Engineering from Science and Research Branch, Islamic Azad University (SRIAU), Tehran, Iran, in 2001 and 2003 respectively .He is now Ph.D. candidate and also affiliated to the clinical engineering group in the same institute since
- He is also researcher in Center of Advanced Researches and Technologies for Empowering and Mind Engineering (CARTEME) at SRIAU. Iman's current research interests include the designing Human-Machine Interfaces for empowering and mind engineering, usability engineering, emotional intelligent and affective computing, cyber collaboration, virtual reality, and cybernetics.
Ehud Sharlin has been faculty at the University of Calgary’s Computer Science Department since October 2004, following his position as faculty with the Human Interface Engineering Laboratory at Osaka University between 2003 and 2004. He is currently running the uTouch research group, and is a member of the University of Calgary Interactions Lab. His research interests are directed at interaction with physical objects and entities: human-robot interaction, tangible user interfaces, mixed reality and computer game interfaces. Ehud completed his Ph.D. in Computing Science in July 2003 at the University of Alberta in Edmonton, Canada, under the supervision of Dr. Ben Watson and Dr. Jonathan Schaeffer, his M.Sc. in in 1997 (Magna Cum Laude), and his B.Sc. in 1990, both in Electrical and Computer Engineering from Ben-Gurion University, Israel, under the supervision of Dr. Jonathan Molcho.. Between 1991 and 1998 Ehud worked as a senior researcher and research director with several Israeli R&D labs, his main research themes during this period were image processing, computer vision and tracking algorithms, electro- optical design, numerical simulation, and user studies.
Dag Sverre Syrdal received his BSc in Psychology from Queen’s University Belfast in 2001, and his MSc in Research Methods and Data Analysis in Psychology from the University of Hertfordshire in 2002. He joined the Adaptive Systems Research Group at the University of Hertfordshire in 2006, where his work has centred around the planning, execution and analysis of user studies
Author Index
Index
ARGOS (Augmented Reality
camera-to-display transformations,
multiple travelling salesman
164 Index two-dimensional (2D), 7, 38, 43, 81, 120,
- Arent, K.
- Choi, J.
- Colgate, J.E.
- Dautenhahn, K.
- DeJong, B.P.
- Firoozabadi, M.
- Hung, W.H.
- Igarashi, T.
- Jung, J.
- Kaber, D.B.
- Kang, S.C.
- Kim, M.
- Kim, S.H.
- Kim, Y.
- Koay, K.L.
- Kreczmer, B.
- Liu, P.
- Malek, L.
- Oh, K.
- Peshkin, M.A.
- Rezazadeh, Iman M.
- Sharlin, E.
- Syrdal, D.S.
- Wang, X. 53, 77,
- Young, J.
- Zhu, J.
- action, A
- active patrol planner, 117,
- actuator technology,
- aesthetic,
- 24, aesthetic contextuability, 17, 20, 21,
- affective controller concept,
- affective human-machine interface,
- affective measure, 97, 100, 101,
- agency, 8,
- agent,
- agent-based,
- agent-based reaction,
- AI technology,
- allowed-vacant-time (AVT),
- anthropomorphic feedback,
- appearance design,
- applicability,
- Argonne,
- Argonne National Laboratory,
- Stereovideo), through Graphic Overlays on
- artificial entity, 133,
- artificially intelligent (AI),
- ARToolkit, 2,
- assistance operator (TOA),
- asynchronous operation,
- auditory displays,
- augmented reality (AR), 40, 48,
- augmented virtuality (AV),
- avatar, 133, 138, 140, 144,
- Ballistic GOMSL model, 63, 67, B
- ballistic motion control model,
- behavioral,
- behavior-based algorithms,
- bioelectric-signal, - boundaries, - bubblegrams, - building information, - camera views, 35, C - CCR, - cellular automation, - character design, - civilian, - closed-loop, 54, 55, 70, Civilian module, 118, 119, 127, - cognition, - collaboration, - communication, 16, - communication modality, - Companion Identity, - 142, 143, companion migration, 135, 136, 137, - computational GOMS models, - computational rotation, - computer graphic (CG), - computer-based simulation, - (CCR), concurrency and coordination runtime - constructing mental model, - control, - control coordinates, - control misalignment, - control model, - control relationship, - control rotation, 41, - control system, - control transformations, - control translation, 41, 42, - conventional interface, 77, - coordinate frames, - CPM (Critical path method),
- decision making process,
- deviation, 65,
- digital information, 3,
- DirectX,
- DSS,
- Dual Arm Work Platform (DAWP),
- Eclipse IDE, E
- effectiveness,
- GLEAN), 55, EGLEAN (Error-extended
- embedded displays,
- embodied interaction,
- embodiment, 134, 135, 137,
- Emotion Eliciting Algorithm,
- emotional bonds,
- emotional characteristics,
- emotional communication,
- emotional models,
- emotional space, 97,
- emotional status, 97,
- enjoyment,
- entertainment robots,
- environment–robot interaction,
- Control), EPIC (Executive Process Interactive
- Evolution Robotics™ (ER 1), 57,
- Facial Expression, F
- familiarity,
- Field-of-View (FOV),
- function prototype,
- game engine, G
- Gesture Design,
- GLEAN, 58,
- Rules (GOMS), Goals, Operators, Methods, Selection
- GOMSL model, 58, 60, 70,
- GPS,
- graphical cues, - graphical user interfaces (GUIs), - graphics processing unit (GPU), - GUI, - hand-eye coordination, H - hand-eye misalignments, - haptic displays, - haptic interaction, - head-mounted display, - head-mounted displays (HMDs), - HMD, 103, - HMI, - HRI, - human behavior, 116, - human cognitive strategy, - Human Computer Interfaces (HCIs), - human coordinate frame, - human detection, - Human Manual Control, - (HAM), Human-Augmented Mapping - 54, 70, human-computer interaction (HCI), 1, - human-like security robot, - humanlike-ness, - humanness, - human-robot communication, - 112, 115, 118, 14, 21, 24, 26, 31, 36, 49, 54, 78, 81, - 42, 49, human–robot interface, 16, 35, 39, 40, - human-robot interfaces, - identification, I - identity, - intelligent behavior, - intelligent environment, - intelligent robots, - interaction, - nteraction design, 14, - interaction modality, - interaction systems, - iinteractive environments, - IP camera, - IR sensors,
- Index
- kinematics, K
- location transformations, L
- long-term interaction, 30, 31,
- long-term memory (LTM),
- “look and feel” prototype, 20, 21,
- magic cards, 4, M
- manipulandum, 35, 36, 37, 39, 41,
- manipulandum frame,
- mental image scanning,
- mental immersion,
- mental model,
- mental process, 16,
- mental rotation, 40,
- mental states,
- 45, mental transformations, 35, 36, 39, 43,
- mental translation,
- mental workload, 40,
- metaphysical,
- 2008 (MSRDS), 111, Microsoft® Robotics Developer Studio
- mixed reality (MR), 1, 2, 7, 77, 84,
- mixed reality approach,
- mixed reality interfaces,
- environment, mixed-reality integrated
- mixed-reality interaction, 2,
- mixed-reality interfaces,
- mobile security robot,
- modality,
- modularity,
- motion control,
- motion planning,
- MRIE,
- MSRDS, 115, 120, 121,
- multi-camera systems,
- signal, multi-channel forehead bioelectric
- multi-modal,
- (MTSPTW), problems with time windows
- multisensor-based system, - NASA astronauts, N - naturalness, - navigation system, - navigation time, - Non-anthropomorphic feedback, - novelty, - OpenGL, O - operational, - operational contextuability, 17, 20, - orientation control, - orientation matrix, - Ownership, - partition-based strategies, P - passive patrol planner, 117, - path planning, - patrol, - patrol path planner (PPP), - patrol planner, - patrol priority (PP), - patrol scenario, - PCA cycle, - pedestrian simulator (PS), 118, - Perceived Applicability, - perceived robot, 41, 43, 44, - perception, - performance, - performance measure, - personal companion, - personality, 133, 143, - physical behaviour, - physical embodiment, 134, 137, 139, - physical environment, - physical immersion, - physical performance factors, - physical rotation, - physical world, - physique, 22, - planning system, - pleasurable communication, - position based dynamics (PBD), - presence, 8, 23, 95, - privacy, 134, 137, 142, 145, 146, - pseudo interface, - pseudo system interface, - Psychological constrains,
- questionnaire, Q
- real information, R
- real time,
- real world, 1, 134,
- realisation,
- real-time, 54, 68, 70, 114, 115, 116,
- real-time system,
- real-world environments,
- real-world manifestation,
- reflective,
- reinforcement theory, 28,
- reliability,
- remained-vacant-time (RVT),
- remote control,
- remote environments,
- remote robot, 77,
- Retention,
- RFID tags, 4,
- robot applications,
- Robot Control Center (RCC),
- robot design, 14, 15,
- robot frames,
- robot simulator,
- robot system,
- robot unit,
- Robot unit module, 118,
- robot-centered HRI,
- robot-centric approach,
- robotic devices,
- robots,
- role prototypes,
- rotation matrices,
- rotational misalignment,
- RVT,
- sampling frequency, S
- satisfaction, 27,
- scenario event, 115,
- scenario-based simulation,
- security agent,
- security protocol,
- security robot, 111, 113, 116,
- 115, 117, security robot simulator (SRS), 111, 113,
- see-through display, - semi-structured environments, - sensor technology, - service-oriented applications, - simulated annealing (SA), - simulation environment, - simultaneous alignment, - situation awareness, 77, 80, 81, - situational awareness, - social, 13, - social attributes, - social context, - social contextuability, 17, 18, 20, - social environment, - social forces modeling, - social robots, - sound effects, - speed-accuracy tradeoff, - state-of-the-art, - statistical entropy, - stepwise control model, 59, - Stepwise GOMSL model, - stepwise model, - tablet see-through display, T - tangible computing, - tangible-user interfaces, - task performance, - technology-driven, 13, - technology-independent concept, - teleoperate, - teleoperated robot, 53, - teleoperating, - teleoperation, 35, 38, 40, 44, - telerobotics, - telerobots, - Thought Crumbs, - 114, 116, 120, 125, three-dimensional (3D), 2, 22, 38, 43, 44, - environment, three-dimensional (3D) virtual - time-dependent processes, - translation matrices, - Type-To-Speech (TTS), 20, - Urban Search and Rescue (USAR), U - usability,
