Interacting with Small Devices in Big Ways Chris Harrison 1 Small - PowerPoint PPT Presentation

Aug 24, 2023 •181 likes •501 views

Interacting with Small Devices in Big Ways Chris Harrison 1 Small Powerful + 2 Computing Factors Computing power Time 3 Computing Factors Computing power Storage Time 4 Computing Factors Computing power Storage

Interacting with Small Devices in Big Ways Chris Harrison 1
Small Powerful + 2
Computing Factors » Computing power Time 3
Computing Factors » Computing power » Storage Time 4
Computing Factors » Computing power » Storage » Bandwidth Time 5
Computing Factors » Computing power » Storage » Bandwidth » Screen Resolution » ... Time 6
Human Factors Time 7
Human Factors » Finger size Time 8
Human Factors » Finger size » Visual acuity Time 9
Human Factors » Finger size » Visual acuity » Manual dexterity » … Time 10
Mobile Device Size Size Time 11
= mobile device limited surface area 12
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mobile device = limited input richness 16
Scratch Input++ 17
Scratch Input 18
Project Idea One or more microphones on underside of device 1) Localize taps around the device on an ad hoc surface 2) Listen and classify gestures being performed (non-spatial) Some combination of the two above Possible uses: Laptop, smartphone, kitchen, light switch Reach goal: couple with projector for interactive graphics Oblique from smartphone From lid of laptop 19
On-Body Interfaces 20
Acoustics on the Body Longitudinal (compression) waves 21
Acoustics on the Body Transverse surface distortions (ripples) 22
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Pico-Projector Projected Interface Sensing Armband 24
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Project Idea 1.Skinput++ Entirely passive approach; better signal processing and machine learning 2.High resolution Skinput on the wrist (perhaps using accelerometers on wrist bone assembly) 3.1D (along arm) time of flight. 4.Add active elements to the skin, look at e.g., reflected signal, attenuation of particular frequencies. 5.Phase offset (receiver/transmitter pair on upper arm/wrist) 27
Warning! Not for the feignt of heart! These projects need research, not just engineering Self motivated team I can advise project, but will be traveling a lot Expected end result is a publication 28
Analyzing Calls for Closeness 29
Project Idea Large corpus of phone calls Mine calls for acoustic features See if personal closeness of the two individuals can be predicted Example app: bootstrapping sharing/privacy settings on social networking sites 30
Thank You Chris Harrison chris.harrison@cs.cmu.edu www.chrisharrison.net 31

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