quartz/content/notes/02-intro-pervasive-and-ubiquitious.md
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02-intro-pervasive-and-ubiquitious
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Pervasive and Ubiquitious computing

Natural user interfaces

  • applications off desktop
  • physical linteraction moving away from mouse/keyboard/display
  • natural acations used as input to systems
  • better learnability, easure of use. ⇒ support tasks without changing them
  • support special needs people

[!INFO] computer we wear communicate with more locally installed les ubiquitious computers

context awareness

  • apps are aware of the environment around the user/the app and can adjus their behaviour to suit it

[!INFO] computer should behave in a more natural way [!INFO] also aware of our current goals

automatic capture and access

  • automatically record and store things to remove the burden from humans and allows us to focus on things we are better at

Examples

context awareness |300

[!INFO] phone already knows your location

[!INFO] uses electroculography: eye tracking without a camera. wanted to know if you could build a context aware systems based on eye movements: copy, read, write, video, browse, NULL. They achieved 70%-80% accuracy, WITHOUT using complicated machine learning.

David Lindlbauer, Anna Maria Feit, Otmar Hilliges, Context-Aware Online Adaptation of Mixed Reality Interfaces

[!INFO] measure cognitive load using pupil dilation. with high cognitive load they show less information on screen to stop from distracting you.

[!QUESTION] if they block other stuff while we have high workload, how do we decide which important things to show

Gregory D. Abowd, “Classroom 2000: An Experiment with the Instrumentation of a Living Educational Environment”, IBM Systems Journal, Special issue on Pervasive Computing, Volume 38, Number 4, pp. 508-530, October 1999

[!INFO] camera is class: idea to show automactically that everything is caputred, audio recording are matched to slides, annotations are shared with the whole class, as well as individual comments. able to split up video to see which parts of the slides are being talked about when. collects a lot of data that can be used later

[!QUESTION] auto sharing annotations sounds very easy, i think we should make the default that annotations are shared

Steve Mann, “My “Augmediated” Life What I’ve learned from 35 years of wearing computerized eyewear” IEEE Explore, 2013

[!INFO] cameras constantly running, recorded his whole life. he is controversial, recording other people.

[!INFO] if everything is recorded there is an ethical dilemma, is contanst recording what we really want.

Hodges, et al. SenseCam: A retrospective memory aid. ACM Ubicomp ’06

[!INFO] same thing: camera constantly running: but neck camera

[!INFO] toll gates scanning number plates: initally kept private. can we use it to solve a crime though?

Tangible computing

  • Directly-manipulable physical interfaces to data and computation
  • Pure form of ubicomp in that there is no computer to be seen

H. Ishii, B. Ullmer. Tangible Bits: Towards seamless interfaces between people, bits and atoms

1992 – Durrell Bishop's Marble Answering Machine

[!INFO] message "captured in balls"

Daniel Leithinger, Sean Follmer, Alex Olwal, and Hiroshi Ishii. 2014. Physical telepresence: shape capture and display for embodied, computer-mediated remote collaboration. In Proceedings of the 27th annual ACM symposium on User interface software and technology (UIST '14).

[!INFO] physical telepresence. physical interaction remotely

Ryokai, Marti, Ishii. I/O Brush: Drawing with Everyday Objects as Ink. ACM CHI ’04.

SoundFORMS: Manipulating Sound Through Touch CHI 2016

Calm computing

Project Blinkenlights (2001), http://blinkenlights.net, Haus des Lehrers, Berlin, Germany

N. Jeremijenko, LiveWire, Demo ACM Siggraph ’95

[!INFO] interactive surfaces and spaces. physicalise information. wire was moved according to network traffic

Input and Interaction

Google ATAP. track fingers using radar

[!QUESTION] Is it always tracking your finger? what if you do something accidentally

Wearable computing

Thad Starner, starting using weable computing such as glasses. more interested in showing information, than capturing it

Challenges

  • Whats difficult about Pervasive and Ubiquitous Computing?
  • Requires understanding of sensors and new sensing technologies
  • Noisy inputs
  • Sensor fusion
  • Wireless communication channels
  • Power consumption
  • Context is only a proxy for human intent
  • Unpredictable ussage context in particular for mobile devices
  • Require novel user interfaces, limited/different I/O capabilities
  • Lack of standardization in interface patterns
  • Privacy & Security