Lecture >

Lecture

Lecture

TimeTue, Fri 09:00~10:30
Course DescriptionThis course will provide an overview and introduction to the field of human-computer interaction (HCI). It introduces students to research areas in HCI (e.g., interactive, mobile, wearable, ubiquitous technology; Human-Robot Interaction), research methods, tools, techniques, and sources of information about HCI and provides a systematic approach to design human-subject experimentation. Course is open to undergrads and graduate level non-hci majors.

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Course DescriptionThis course focuses on a detailed overview of research methods in Human-Computer Interaction (HCI) and a hands-on experience from experimental design to statistical analysis of collected data. It includes surveys and diaries, case studies, interviews and focus groups, ethnography, usability testing, analyzing qualitative data, automated collection methods, sensor-based understanding the human, working with human subjects.

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Course DescriptionThis course provides an overview of past and state-of-art research topics in ubiquitous computing. Students will be asked to read and review a series of the seminal literature drawn primarily from top-tier conferences and journals such as ACM Ubicomp, IEEE Percomp, ACM UIST (User Interface Software and Technology Symposium), ACM IUI (Intelligent User Interface), mobile HCI, IEEE Pervasive Computing and Communications.

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Course DescriptionThis course deals with topics on the development of intelligent systems that enable older adults and people with disabilities to live more independently. Topics to be covered include understanding cognitive aging and technologies for addressing the needs and activities of everyday living by prototyping personal assistive robots, cognitive and behavioral coaches, human awareness and driver assistance technologies, and subsidiarily the social and clinical factors for deployment and adoption.

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Course DescriptionThis course introduces the skills and concepts of human-centered computing that enable engineers and/or computer scientists to design physical systems’ intelligence that effectively meet human needs - e.g., machine intelligence enabling personal robots or autonomous vehicles to be more human-centered. This course will cover iterative design processes, interactive prototype construction, usable machine learning, and the historical context of human-centered computing as well as an overview and introduction to intelligent physical systems (IPS), cyber-physical systems (CPS), and human-in-the-loop (HITL) systems. The course is intended mainly for graduate students not majoring in HCI, but also welcomes senior undergraduates.

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Course DescriptionThis course explores the historical and state-of-art issues in virtual agents and social or personal assistive robots. Particular topics to be covered include: human factors, context-aware computing, intelligibility, affordability, security and privacy, accessibility, affective computing, interruptions in human-computer interaction, location-based computing, activity recognition, and social concerns. The course will primarily consist of discussion of reading assignments. Guests from academia and industrial research labs will be invited to facilitate discussion as appropriate. This course will focus more on class discussions and demos rather than lectures.

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Course DescriptionThis course includes topics in computer-assisted technologies for sensory substitution (a change of the characteristics of one sensory modality into stimuli of another sensory modality) and sensory augmentation integrated with brain-machine interfaces, mixed and augmented reality technologies, electrotactile or vibrotactile stimulators. Basic background knowledges on human sensing, perception, cognition and brain plasticity (the brain’s ability to adapt to a changing environment) will be discussed together.

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Course DescriptionThis course will provide an overview of current research topics in ubiquitous computing by reading and discussing the recent literature drawn primarily from conferences such as Ubicomp, Pervasive, CHI, and UIST, as well as from magazines and journals such as IEEE Pervasive and Personal and Ubiquitous Computing. Students will be exposed to ubicomp applications, tools for building ubicomp systems, sensing systems, and issues with evaluating and using ubicomp systems. This course will primarily focus on smart environments, healthcare and assistive applications and secondarily cover topics in distributed systems, software engineering, and hardware design. There are no prerequisites for this class, and students from all backgrounds are invited to participate.

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Course DescriptionThis course will provide an overview and introduction to the field of human-computer interaction (HCI). It introduces students to tools, techniques, and sources of information about HCI and provides a systematic approach to design human-subject experimentation. Course is open to undergrads and graduate level non-hci majors.