Sensor-based Interaction

Sensor-Based Interaction is a mode of human-computer interaction within creative coding that utilizes real-time data from physical sensors to dynamically influence computational processes, distinguishing itself by enabling responsive, context-aware artistic or expressive outcomes through embodied user engagement.

1.4K

Publications

67.9K

Citations

4.3K

Authors

996

Institutions

Publications per year

2017–2026

398

Authors

4.3K

  1. CH
    Chris Harrison

    Carnegie Mellon University, United States

    21 publications · 2.3K citations

    19

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  2. JA
    Joseph A. Paradiso

    Massachusetts Institute of Technology, United States

    22 publications · 991 citations

    17

    h-index

  3. SE
    Scott E. Hudson

    Carnegie Mellon University, United States

    13 publications · 1K citations

    13

    h-index

  4. AS
    Albrecht Schmidt

    University of Stuttgart, Germany

    16 publications · 706 citations

    13

    h-index

  5. SP
    Shwetak Patel

    University of Washington, United States

    11 publications · 764 citations

    11

    h-index

1–5 of 4.3K

Venues

  1. 20

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  2. Sensors

    26 publications · 867 citations

    20

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  3. IEEE Sensors Journal

    10 publications · 562 citations

    10

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  4. IEEE Pervasive Computing

    9 publications · 786 citations

    9

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  5. Personal and Ubiquitous Computing

    9 publications · 660 citations

    9

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1–5