Implicit human computer interaction through context

By Albrecht Schmidt. Personal Technologies, 2000

759 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/9c6ecdda8323ef9d99626d3e3ba0db99f7f4a82f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. D. Olsen
2. Jerry Alan Fails
3. Florian Alt
4. Jörg Müller
5. Daniel Michelis
6. John Zimmerman
7. Albrecht Schmidt
8. Aaron Steinfeld

In Control and Systems Engineering

1. D. Olsen
2. Jerry Alan Fails
3. Aaron Steinfeld
4. Ross A. Knepper
5. Sergey Levine
6. Pieter Abbeel
7. Chelsea Finn

In Human-Computer Interaction

1. Jerry Alan Fails
2. D. Olsen
3. John Zimmerman
4. Florian Alt
5. Jörg Müller
6. Albrecht Schmidt
7. Gaëlle Calvary
8. Jean Vanderdonckt

Citations in the corpus

• Interactive machine learning (2003, background): “Other systems use sensors other than cameras such as depth scanners and infrared sensors [13,14,15].”
• Requirements and design space for interactive public displays (2010, background): “Whereas in explicit interaction the user tells the computer in a certain level of abstraction what she expects him to do [53], implicit interaction describes an action, which is not in the first case targeted towards the interaction with a computer but nevertheless considered an input.”
• Ubiquitous computing - computing in context (2003, neutral): “…[Gellersen,99a], [Gellersen,00], [Gellersen,02], [Gellersen,02a], [Laerhoven,02], [Patent,01], [Patent,02], [Schmidt,98], [Schmidt,99], [Schmidt,99a], [Schmidt,99b], [Schmidt,99c], [Schmidt,00], [Schmidt,00a], [Schmidt,00b], [Schmidt,01], [Schmidt,01a], [Schmidt,02], [Schmidt,02a], and [Thede,01].”
• Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design (2020, background): “Research has chosen a number of different frames for investigating these challenges including human-AI interaction . design, AI/machine learning as a design material, the design of intelligent systems, designing for/with data [6, 14, 37], and many more [33, 42, 43].”
• Implicit Communication of Actionable Information in Human-AI teams (2019, background): “In particular, a significant amount of communication in human groups goes through non-explicit channels [73].”
• A Unifying Reference Framework for multi-target user interfaces (2003, background): “type of trigger (Schmidt, 2000) not considered in our discussion: being in a context.”