Human-Robot Interaction: A Straw Man approach to Interface Ite ration

bouncerarcheryAI and Robotics

Nov 14, 2013 (3 years and 11 months ago)

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ATRV
-
Jr. Interface


Human
-
Robot Interaction:

A
Straw Man approach to Interface
Iteration


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Rachel Mulcrone

Mills College


Goal


Improve the INEEL Interface

Goal


In other words . . .


A usable and strong interface specialized
for Urban Search and Rescue of
competition caliber folding in unique and
novel functions and features that improve
the experience for the end user and
ultimately, improve performance.


Overview


Background


Competitor Interfaces


Interface design


Future Directions

Background


Search and Rescue


Human
-
Robot Interaction


Human
-
Computer Interaction

Background:

Search and Rescue


National Institute of Standards and
Technology (NIST)


2003 IJCAI AAAI


1st INEEL


2nd Swarthmore


Background:

Search and Rescue


Some known HRI issues in USAR


Bumping (Over 40% rear hits)


Camera pan awareness


Situation awareness


Pitch and roll


Background: HRI


Taxonomy


Human
-
robot interaction currently takes many forms.
Dangerous tasks, such as urban search and rescue
[Casper 2002, Casper and Murphy 2002] and hazardous
material clean up [Bruemmer, Marble and Dudenhoffer
2002], require a human operator to be removed from the
physical location of the robot. Robots that assist the
elderly [Haigh and Yanco 2002] and the handicapped
[Mittal et al. 1998] share the same physical space with
their users, often transporting them through the world.
Others, such as Sony’s Aibo, provide entertainment and
companionship for people



Yanco and Drury (2002)

Background: HCI


Evaluation methods


Testing 3
-
5 Subjects


Nielson

HCI Models

Mental Models


User’s understanding of how a
system works.

System Models


Way the system works from
programmers perspective.

Design Model


The way the designer represents the
system to the user.

Norman

Interface Design


Survey of selected USAR
competitors



UMass Lowell



Rochester
-

IJCAI/AAAI 2003


Map

Rochester
-

IJCAI/AAAI 2003


Surroundings: terrain and
obstacles


Distracting colors: map relative to
video


Readability: black on white vs white
on black

Swarthmore
-

IJCAI/AAAI
2003



Swarthmore
-

IJCAI/AAAI
2003




Window management


Development tools


New Orleans
-

IJCAI/AAAI
2003


New Orleans
-

IJCAI/AAAI
2003




Window management


Small video

Mitre
-

AAAI 2004


(screenshot from Robocup 2003)

Mitre
-

AAAI 2004



Multi
-
step controls for simple tasks

INEEL
-

IJCAI/AAAI 2003


INEEL
-

IJCAI/AAAI 2003



TMI


Control


User Experience (final runs)

% Map and Video %

% Map and Video %

New Orleans

Video: 9.11%

Map 20.79%

Swarthmore

Video: 14.57%

Map 13.98%

Rochester

Video: 25.3%

Map 45.46%

Mitre

Video: 8.72%

Map 57.43%

% Map and Video %

% Map and Video %

INEEL

Video: 10.18%

Map 8.26%

% Map and Video %

% Map and Video %

UMass

Lowell

Video: 26.96%

Map 18.89%

%Map and Video Summary%

Video

Map

MITRE

9%

57%

ROCH.

25%

45%

NEW O.

9%

21%

SWATH.

15%

14%

INEEL

10%

8%

UMASS

27%

19%

Interface Design:

UMass Lowell

Interface Design:

UMass Lowell

Interface Design:

UMass Lowell


Camera tilt and pan overlay


Rear camera


Controls


Responsive interface

Interface Design:

UMass Lowell


To test:


Camera positioning


Rear front toggle (animation)


Map


Sonars

Resources


This Presentation and my DMP website:


www.mercury.cs.uml.edu/~rmulcron


Human
-
Computer Interaction


Jakob Neilson’s Use It site


www.useit.com


Donald Norman’s jnd.org


www.jnd.org


NIST USAR site


http://www.isd.mel.nist.gov/projects/USAR/



Thank You


Holly, Brenden, Bobby,
Marbella, Andrew, Mike, and
Phil for a great summer.