About Contact Help us  
Interaction-Design.org
HCI, User Experience, Information Architecture, Usability, and more
 
“I use free sources like Interaction-Design.org so often that I have an obligation to recognize its value and support its continued presence”

Last 3 Donors

Support us

Funding progress for 2010:
 
References Navigation arrow Authors Navigation arrow Ian Oberst
Bookmark and Share Printer-friendly version of this pagePrinter-friendly Instructions on how to cite/reference this pageHow to cite 

Ian Oberst

No picture of Ian Oberst available - click to provide one

About the author:
No description available of Ian Oberst...
ADD DESCRIPTION
ADD PUBLICATION
SHARE YOUR RESEARCH

Publications by Ian Oberst (bibliography)

 what's this?

» 2009 «

Edit | Del

Kulesza, Todd, Wong, Weng-Keen, Stumpf, Simone, Perona, Stephen, White, Rachel, Burnett, Margaret M., Oberst, Ian and Ko, Andrew J. (2009): Fixing the program my computer learned: barriers for end users, challenges for the machine. In: Proceedings of the 2009 International Conference on Intelligent User Interfaces 2009. pp. 187-196. Available online

“The results of a machine learning from user behavior can be thought of as a program, and like all programs, it may need to be debugged. Providing ways for the user to debug it matters, because without the ability to fix errors users may find that the learned program's errors are too damaging for them to be able to trust such programs. We present a new approach to enable end users to debug a learned program. We then use an early prototype of our new approach to conduct a formative study to determine where and when debugging issues arise, both in general and also separately for males and females. The results suggest opportunities to make machine-learned programs more effective tools.”

Copyrights may apply

Edit | Del

Chow, Richard, Oberst, Ian and Staddon, Jessica (2009): Sanitization's slippery slope: the design and study of a text revision assistant. In: Proceedings of the 2009 Symposium on Usable Privacy and Security 2009. p. 13. Available online

“For privacy reasons, sensitive content may be revised before it is released. The revision often consists of redaction, that is, the "blacking out" of sensitive words and phrases. Redaction has the side effect of reducing the utility of the content, often so much that the content is no longer useful. Consequently, government agencies and others are increasingly exploring the revision of sensitive content as an alternative to redaction that preserves more content utility. We call this practice sanitization. In a sanitized document, names might be replaced with pseudonyms and sensitive attributes might be replaced with hypernyms. Sanitization adds to redaction the challenge of determining what words and phrases reduce the sensitivity of content. We have designed and developed a tool to assist users in sanitizing sensitive content. Our tool leverages the Web to automatically identify sensitive words and phrases and quickly evaluates revisions for sensitivity. The tool, however, does not identify all sensitive terms and mistakenly marks some innocuous terms as sensitive. This is unavoidable because of the difficulty of the underlying inference problem and is the main reason we have designed a sanitization assistant as opposed to a fully-automated tool. We have conducted a small study of our tool in which users sanitize biographies of celebrities to hide the celebrity's identity both both with and without our tool. The user study suggests that while the tool is very valuable in encouraging users to preserve content utility and can preserve privacy, this usefulness and apparent authoritativeness may lead to a "slippery slope" in which users neglect their own judgment in favor of the tool's.”

Copyrights may apply

» 2008 «

Edit | Del

Stumpf, Simone, Sullivan, Erin, Fitzhenry, Erin, Oberst, Ian, Wong, Weng-Keen and Burnett, Margaret (2008): Integrating rich user feedback into intelligent user interfaces. In: Proceedings of the 2008 International Conference on Intelligent User Interfaces 2008. pp. 50-59. Available online

“The potential for machine learning systems to improve via a mutually beneficial exchange of information with users has yet to be explored in much detail. Previously, we found that users were willing to provide a generous amount of rich feedback to machine learning systems, and that the types of some of this rich feedback seem promising for assimilation by machine learning algorithms. Following up on those findings, we ran an experiment to assess the viability of incorporating real-time keyword-based feedback in initial training phases when data is limited. We found that rich feedback improved accuracy but an initial unstable period often caused large fluctuations in classifier behavior. Participants were able to give feedback by relying heavily on system communication in order to respond to changes. The results show that in order to benefit from the user's knowledge, machine learning systems must be able to absorb keyword-based rich feedback in a graceful manner and provide clear explanations of their predictions.”

Copyrights may apply

ADD PUBLICATION
SHOW THIS LIST ON YOUR HOMEPAGE

What do YOU think?

Give us your opinion! Do you have any comments/additions
that you would like other visitors to see?

 
comment You say: Mar 21st, 2010
#1
Be the first to add a thoughtful note to this page ! 

  will be spam-protected
 

 
How many?
=
e.g. "6"
 

Changes to this page (author)

16 Feb 2010: Enabled abstracts to be shown on Ian Oberst's author page.
08 Sep 2009: Author was edited
02 Jun 2009: Author was edited
08 Apr 2009: Author was added to the bibliography

Publication statistics

Publication period:2008-2009
Publication count:3
Number of co-authors:12



Productive colleagues

Ian Oberst's 3 most productive colleagues in number of publications:

Margaret M. Burnett:48
Margaret Burnett:20
Andrew J. Ko:13


Collaboration count

Number of publications with 3 favourite co-authors:

Simone Stumpf:2
Weng-Keen Wong:2
Margaret M. Burnett:1

 

Other options

Learn more about Ian Oberst:
- Google Scholar
- ACM
- CSB

Mar 21

“ Software design is the act of determining the user's experience with a piece of software. It has nothing to do with how the code works inside, or how big or small the code is. The designer's task is to specify completely and unambiguously the user's whole experience. ”

-- David Liddle, From Bringing Design to Software, edited by Terry Winograd, 1996 ”

  • Share this quote on... Bookmark and Share
  • Get more quotes

Eva Hornecker on Tangible Interaction

Eva Hornecker explains the evolving concept of Tangible Interaction.

Read Eva's insightful entry here..

Help us help you!

  • Spread the word: Bookmark and Share
  • Donate
  • Other ways to help
 
 

Page information

Page maintainer: The Editorial Team
How to cite/reference this page
URL: http://www.interaction-design.org/references/authors/ian_oberst.html
© Site Copyright/IP Policy | Privacy | Changelog

How to help | Site Map | RSS Subscribe through an RSS feed
Bookmark and Share
.
Author index:
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
V
W
X
Y
Z
Æ
Ø
Ö
Å
Calendar:
Internet Calendar (.iCal/.ics format) | Printerfriendly Calendar | Approaching Deadlines | World Map | Calendar RSS Feed
 
Browse bibliography by:
Authors | Conferences | Periodicals | Publishers