19
Biological human- Biological human- machine interfaces machine interfaces (2 ov) L (2 ov) L Christina M Krause. PhD Docent of Neuropsychology Docent of Cognitive Neuroscience Senior scientist (EEG) Cognitive Science and Technology Laboratory of Computational Engineering [email protected] www.lce.hut.fi/~krause

Biological human-machine interfaces (2 ov) L Christina M Krause. PhD Docent of Neuropsychology Docent of Cognitive Neuroscience Senior scientist (EEG)

Embed Size (px)

Citation preview

Page 1: Biological human-machine interfaces (2 ov) L Christina M Krause. PhD Docent of Neuropsychology Docent of Cognitive Neuroscience Senior scientist (EEG)

Biological human-Biological human-machine interfaces machine interfaces

(2 ov) L(2 ov) LChristina M Krause. PhD

Docent of Neuropsychology Docent of Cognitive Neuroscience Senior scientist (EEG)

Cognitive Science and Technology Laboratory of Computational Engineering

[email protected] www.lce.hut.fi/~krause

Page 2: Biological human-machine interfaces (2 ov) L Christina M Krause. PhD Docent of Neuropsychology Docent of Cognitive Neuroscience Senior scientist (EEG)

Biological human-Biological human-machine interfaces machine interfaces

(2 ov) L(2 ov) LThe aim of this seminar series is to

familiarize the participants with different types of measurable biological signals and to learn

about how these can be utilized in human-machine interaction.

Page 3: Biological human-machine interfaces (2 ov) L Christina M Krause. PhD Docent of Neuropsychology Docent of Cognitive Neuroscience Senior scientist (EEG)

ExaminationExamination

Participation at the seminarsReading the literature

– will be given at the previous seminar everybody reads everything - no

examination

Presentation at the seminar

Page 4: Biological human-machine interfaces (2 ov) L Christina M Krause. PhD Docent of Neuropsychology Docent of Cognitive Neuroscience Senior scientist (EEG)

Schedule 2002Schedule 2002

16.1. C.M. Krause Introduction, presentation of material

23.1. Toni Auranen The nature and origin of biological signals

30.1. Presentation The concept of biofeedback

6.2. Presentation Animal studies on biological signals

13.2. Presentation Limb prostheses

20.2. Presentation HCI: Human-Computer Interface

27.2. Presentation ABI: Adaptive Brain Interface

6.3. C.M. Krause Closing and summary of the seminar

Page 5: Biological human-machine interfaces (2 ov) L Christina M Krause. PhD Docent of Neuropsychology Docent of Cognitive Neuroscience Senior scientist (EEG)

Biological human-Biological human-machine interfaces machine interfaces

(2 ov) L(2 ov) L Today:

– brief introduction

– description of material

Page 6: Biological human-machine interfaces (2 ov) L Christina M Krause. PhD Docent of Neuropsychology Docent of Cognitive Neuroscience Senior scientist (EEG)

Basic conceptsBasic concepts

What is a “user interface”? The contact between machine and man

What is human-machine interaction? How to interact with machines

• Many types of machines

Why study human-machine interaction and interfaces?

This is NOT only software development....

Page 7: Biological human-machine interfaces (2 ov) L Christina M Krause. PhD Docent of Neuropsychology Docent of Cognitive Neuroscience Senior scientist (EEG)

Simple examplesSimple examples

Examples:

Development of various indicators (speed in cars)

• Traffic psychology Automatic response systems (telephones)

• Easy non-human communication- banks Interactive programs (games)

• What else – true interaction? Developing, learning software (ABI)

Page 8: Biological human-machine interfaces (2 ov) L Christina M Krause. PhD Docent of Neuropsychology Docent of Cognitive Neuroscience Senior scientist (EEG)

Goals of human-Goals of human-machine interactionmachine interaction

Usable and safe systems

Functional systems– (....automatic telephone systems)

Page 9: Biological human-machine interfaces (2 ov) L Christina M Krause. PhD Docent of Neuropsychology Docent of Cognitive Neuroscience Senior scientist (EEG)

Goals of human-Goals of human-machine interactionmachine interaction

Understand limiting factors (most often human)

Development of tools with respect to these limitations

Page 10: Biological human-machine interfaces (2 ov) L Christina M Krause. PhD Docent of Neuropsychology Docent of Cognitive Neuroscience Senior scientist (EEG)

Definition: biological Definition: biological interfacesinterfaces

What is a biological human-machine interface?

Examples?

Page 11: Biological human-machine interfaces (2 ov) L Christina M Krause. PhD Docent of Neuropsychology Docent of Cognitive Neuroscience Senior scientist (EEG)

Why biological Why biological human-machine human-machine

interaction?interaction?

Why and when are not “normal” user-interfaces enough?

Page 12: Biological human-machine interfaces (2 ov) L Christina M Krause. PhD Docent of Neuropsychology Docent of Cognitive Neuroscience Senior scientist (EEG)

The nature and The nature and origin of biological origin of biological

signals signals

What kind of biological signals exist?

How and where are these generated?

How can these be measured?

Which of these can be utilized to control external devices?

Page 13: Biological human-machine interfaces (2 ov) L Christina M Krause. PhD Docent of Neuropsychology Docent of Cognitive Neuroscience Senior scientist (EEG)

The concept of The concept of biofeedbackbiofeedback

What is biofeedback? “ Biofeedback is this state-of-the-art, Twenty First Century tool. Biofeedback is a sophisticated, therapeutic training technology that you can use to unleash your potential, reclaim your health, and take control of your life”

A history of biofeedback?

How, why and where can biofeedback be utilized?

Which bodily signals can be controlled?

What can be gained with biofeedback?

Page 14: Biological human-machine interfaces (2 ov) L Christina M Krause. PhD Docent of Neuropsychology Docent of Cognitive Neuroscience Senior scientist (EEG)

Animal studies on Animal studies on biological signals biological signals

Why study animals?

Similarities and dissimilarities between animals and humans?

Similarities and dissimilarities between the biological signals generated by animals and humans?

What has been studied in animals?

What have we learnt about humans from these studied?

Page 15: Biological human-machine interfaces (2 ov) L Christina M Krause. PhD Docent of Neuropsychology Docent of Cognitive Neuroscience Senior scientist (EEG)

Limb prostheses Limb prostheses

What are limb prostheses?

For what purposes are these?

With which biological signals can these be controlled?

Video

Page 16: Biological human-machine interfaces (2 ov) L Christina M Krause. PhD Docent of Neuropsychology Docent of Cognitive Neuroscience Senior scientist (EEG)

HCI: Human-HCI: Human-Computer Interfaces Computer Interfaces

How can humans interact with computers?

And vice versa?

The biological human body as a limiting factor when designing HCI:s?

Evolutionary aspects?

Page 17: Biological human-machine interfaces (2 ov) L Christina M Krause. PhD Docent of Neuropsychology Docent of Cognitive Neuroscience Senior scientist (EEG)

ABI: Adaptive Brain-ABI: Adaptive Brain-Computer InterfaceComputer Interface

How can brain signals be utilized in human-computer interaction?

What types of brain signals will do?

Who needs this, anyway?

When are such devices needed?

How can humans be taught to control for their brain signals?

How can computers be taught to understand brain signals?

Page 18: Biological human-machine interfaces (2 ov) L Christina M Krause. PhD Docent of Neuropsychology Docent of Cognitive Neuroscience Senior scientist (EEG)

Closing and summary Closing and summary of the seminar seriesof the seminar series

General discussion and conclusions.

Page 19: Biological human-machine interfaces (2 ov) L Christina M Krause. PhD Docent of Neuropsychology Docent of Cognitive Neuroscience Senior scientist (EEG)

Today:Today:Select your topic

Literature will be given

Choose one of these for your presentation and write your name on the paper on the appropriate place (number)

Try to answer the questions in your presentation

“Journal of Human-Computer studies” www.idealibrary.com