The slides were used when I present an alt.chi paper, title "QnDReview: Read 100 CHI Papers in 7 Hours" in CHI 2014. The contents will show what kinds of benefits that you will have if you are forced to read papers in a short period of time. More details could be found in the following URL: http://dl.acm.org/citation.cfm?id=2578884
Abstract: In 2013, 392 research papers and notes were published in the CHI conference (The ACM CHI Conference on Human Factors in Computing Systems) and even more papers in the domain of Human-Computer Interaction (HCI) are constantly published in various conferences and journals. It is quite arduous, if not impossible, to read all of these papers. One approach to deal with this information deluge is to focus on skimming through lots of papers in a short period of time, so that one can more wisely choose what to read before investing time in them. In order to teach such a skimming technique, I have taught a technique, called "Quick and Dirty Review (QnDReview)," in a graduate-level HCI course. The method has been employed in the course for five semesters, and students' responses were collected and analyzed. Results showed that students spent, on average, 4.3 minutes per paper and believed that they got the gist of each paper. However, the largest benefit I noticed is that students get the overall pictures of the fields while exposing themselves to various new ideas through this approach.
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Many health technologies are reactive in nature: they prescribe behavior change. But there is another class of technologies that focus on engagement with one’s mental and emotional state. An inspiration for this area comes from the field of Mindfulness: paying attention with an open, non-judgmental attitude. The goal of this breakout session is to share our experience with self-tracking systems related to mindful technologies, explore a vocabulary more adequate this kind of self-tracking, and identify new problems and opportunities for designing these systems.
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Go-kart aerodynamic optimization by means of CFD and RBF Mesh MorphingMarco E. Biancolini
The use of CFD and advanced mesh morphing for the aerodynamic optimisation of go kart is demonstrated. The driver size is accounted as one of the design parameter.
Many health technologies are reactive in nature: they prescribe behavior change. But there is another class of technologies that focus on engagement with one’s mental and emotional state. An inspiration for this area comes from the field of Mindfulness: paying attention with an open, non-judgmental attitude. The goal of this breakout session is to share our experience with self-tracking systems related to mindful technologies, explore a vocabulary more adequate this kind of self-tracking, and identify new problems and opportunities for designing these systems.
Reflective writing for HEA fellowship for librarians Jennifer Rowland
Presented at an ARLH-YH training day for librarians at Huddersfield University, 2018: approaches to reflective writing in the context of an AdvanceHE Fellowship application, with examples
A case study of speed-marking. Result: a popular method of providing written corrective feedback for both teacher and students. More research needed to evaluate effectiveness.
These are slides that I use to teach our incoming graduate students how to avoid common troubles that graduate students / researchers experience. It is more for Purdue IE students, but most of the advice could be relevant to many graduate students.
Presentation Seminar - Harada Ushiku Lab - The University of Tokyo (in English)
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A case study of speed-marking. Result: a popular method of providing written corrective feedback for both teacher and students. More research needed to evaluate effectiveness.
These are slides that I use to teach our incoming graduate students how to avoid common troubles that graduate students / researchers experience. It is more for Purdue IE students, but most of the advice could be relevant to many graduate students.
Presentation Seminar - Harada Ushiku Lab - The University of Tokyo (in English)
(日本語版:https://www.slideshare.net/AntonioTejerodePablo/presentation-skills-up-seminar-harada-ushiku-lab)
Toward best practices for research assessment: Effects of indicators and the...Sarah de Rijcke
Keynote Sarah de Rijcke European Sociological Association Prague, 26 August 2015.
This presentation draws on insights from two research projects that show how indicators influence the production of knowledge in the life sciences and social sciences, and how certain in- and exclusion mechanisms get built into the scientific system through numerical evaluation criteria.
Our findings point to a rather self-referential focus on metrics and a lack of space for responsible, relevant research in the scientific practices under study. On the basis of these findings I argue that we need an alternative moral discourse in research assessment, centered around the need to address growing inequalities in the science system. We need to bridge the very fundamental gap between the dominant assessment criteria, and the new roles of research in society. Secondly, the talk considers the most pertinent issues from the Leiden Manifesto for research metrics (Hicks et al. 2015) for the community of sociologists.
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A maxi-edition of my guide to Learning Management Environment optimisation, whereby we hack the workload model to our favour, make marking easier (and more fun) for the lecturer, and put the students second in the pursuit of "How can we use this teaching technology to deliver something superior to our own work days?". Because quite often, the better systems for improving academic workplace effectiveness never get sold on the basis of "Want to do less work with more resources for better personal outcomes?"
Normal Labour/ Stages of Labour/ Mechanism of LabourWasim Ak
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Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
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Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
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This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
1. QnDReview:
Read 100 CHI Papers in 7 Hours
Ji Soo Yi
HIVE Lab
Industrial Engineering, Purdue University
717AB, 9am, 4/30/2014
2. Disclaimer
• Comprehensive reading a research paper
requires lots of effort / time and sufficient
background, so this talk is not about
making you have magical, comprehensive
understanding of 100 papers in 7 hours.
• I also have not created any fancy tools.
3. A Story in 2004
“Hey, Ji Soo, for the book chapter that we
are working, can you survey what kinds of
research methods were used in the papers
of two journals, Ergonomics and Human
Factors in the past 5 years?”
4.
5.
6.
7.
8. Pleasantly Surprised!
I was able to
• skim through papers quicker and quicker;
• see the overall trends in the field;
• generate interesting ideas; and
• actually enjoy the process.
Leonard, V. K., Jacko, J. A., Yi, J. S., and Sainfort, F. Human factors and ergonomic methods.
In Handbook of Human Factors and Ergonomics, G. Salvendy, Ed., 3rd ed. John Wiley &
Sons, Feb. 2006, 292–321.
9. In 2009, I started to teach a graduate-level
HCI methodology course.
16. Homework
1. Select 100 papers to read.
Visit the ACM Digital Library to search for any papers that are
seemingly interesting to you. I recommend you to start with CHI full
papers because CHI is known to be the premier venue.
ver. 2013
17. Homework
2. Review them all very quickly.
Use the template to make your own summary review. An Excel spread
sheet for the quick and dirty review should contain the following
information:
Column 1: Paper citation
Column 2: Interest rating: 1 (Worst) - 2 (Bad) - 3 (Neither good nor bad)
- 4 (Good) - 5 (Best)
Column 3: A single sentence that describes the core idea of the paper.
Column 4: (Optional) Any new ideas that you have after skimming
through this paper.
ver. 2013
18. Homework
3. Email your summary
Email the complete review spreadsheet to the instructor by the due
date with the following information in the body of the email.
• What is the overall experience?
• What is the notable trends in the papers?
• Which are the two most interesting papers you would like to read
more deeply? (Provide the full citation with DOI number, so that I
can find the paper later)
• How much time did you spend on this homework?
• What are the most difficult part of this homework?
• How to make the quick and dirty review better?
ver. 2013
19.
20. Participants
• N = 57 over 5 years
• 27 F + 30 M
• 2 U + 21 MS + 34 PhD
• 11 non-IE1 + 46 IE
• IRBs
• 1012010281 (retrospective one)
• 1302013324
1 Engineering Education and Electrical and Computer Engineering.
21. Some Variations
2009: self-selected 100 HCI-related papers1
2010: preselected 50 CHI 2010 papers
2011: preselected 100 CHI 2011 papers
2012: preselected 120 papers
• 30 from CHI 2012
• 30 from IEEE TVCG
• 30 from Decision Support Systems
2013: self-selected 100 CHI 2013 papers
1 CHI, HCI, IJHCI, and IJHCS.
23. Total Time Spent
Total Time Spent (hours)
Frequency
0 5 10 15 20
051015
μ = 6.77 h
σ = 3.11 h
24. Average Time Spent Per Paper
μ = 4.3 min
σ = 1.8 min
Average Time Spent Per Paper (minutes)
Frequency
0 2 4 6 8 10 12 14
05101520
25. Overall Impression
• Open coding
• Avoid codify any general remarks (e.g., “It
was a good experience.”)
26. It’s so tiring
N = 26
• At first I did not mind the reading at all, but I
definitely became less interested as time
went on. (P2012-3)
• This was a pretty tiring experience. I found
myself taking multiple breaks in order to
regain focus and energy [...] (P2012-9)
• Interesting idea, but I have done this before
for my lit. review for my masters; Too many
papers. The exercise became tedious after a
while; [...] (P2011-8)
27. But, it gets better.
N = 13
• Well, I need to say that this hw is kind of tough
experience for me especially in the beginning. I
spent much more time than I expected. But the
more I did, the faster I read. [...] (P2009-4)
• I have never read so many papers. Its definitely a
big challenge for me. At the beginning, its hard for
me to skim each paper in 4 minutes. However, I
think I gradually know how to get the core idea of
the paper in 4 minutes. [...] (P2010-3)
28. It turned out good.
N = 44
big picture or trend (N = 20)
useful for future research (N = 15)
quite enjoyable (N = 15)
29. Big Picture (N = 20)
• At the beginning, I thought the task was
impossible to complete in such a short time. I
had to force myself to stop reading within 4
minutes. Gradually I became comfortable
with this kind of quick review method. I began
to enjoy reviewing so many interesting topics
and was surprised by the diversity of the
research. This activity helped me get familiar
with the HCI area. Some research topics and
design were pretty insightful. (P2010-2)
30. Useful for Future Research (N = 15)
• I think the overall experience of this project
was good because it helped me learn how to
quickly understand an area of research and
to survey different types of research ideas
within a particular field. I think I will definitely
use this approach in my own research
studies to especially before I write a literature
review. I also really liked learning how to use
Zotero and I think that is a great app to write
papers with. (P2013-4)
31. Quite enjoyable (N = 15)
• I have to say it is unexpectedly pleasant
process to do the quick and dirty review
though I’ve exposed to positive comments
from former students. […] (P2011-13)
32. Quite enjoyable (N = 15)
• The overall experience of the QnD review is
surprisingly fantastic. […] I think it is because
I skimmed the articles so quickly that only
essence of each paper remained and hence
the review process tended to yield
understandings of breadth rather than depth.
[…] (P2010-10)
33. Some Observations
• Students were able to do it.
• Students are different.
• For some, it is quite painful.
• e.g., a student spent 20 hours.
• For others, it is enjoyable.
• Why?
• Language?
• Personality? (N vs. S in MBTI)
34. Some Observations
• Pre-selected vs. self-selected
• CHI vs. other journals
• 50 vs. 100 vs. 120?
• QnDReview should not replace
comprehensive reading.
• One highly rated paper in QnDReview turned
out to be quite poor.
35. Limitations
• It’s not a controlled study.
• The sample size is small.
• Students’ self reports could be biased.
• They don’t want to offend me.
36. Future Work
• How to understand overall trends?
• How to generate new ideas from
literature?
• How to read? vs. What to read?
37. Acknowledgements
• I appreciate all the students who have
participated in this homework, and I also
thank Aditya Srinath and Sung-Hee Kim
for reviewing this paper and provided
constructive feedback. In addition, I
appreciate Dr. V. Kathlene Leonard for
giving me an assignment of reviewing all
the papers in Human Factors.
38. CHI 1982 75
CHI 1983 59
CHI 1985 35
CHI 1986 47
CHI 1987 46
CHI 1988 39
CHI 1989 54
CHI 1990 47
CHI 1991 56
CHI 1992 67
CHI 1993 62
CHI 1994 70
CHI 1995 66
CHI 1996 55
CHI 1997 55
CHI 1998 81
CHI 1999 78
CHI 2000 72
CHI 2001 69
CHI 2002 61
CHI 2003 75
CHI 2004 93
CHI 2005 93
CHI 2006 151
CHI 2007 182
CHI 2008 157
CHI 2009 277
CHI 2010 302
CHI 2011 410
CHI 2013 392
3,326 CHI papers
× 1-2 hours / paper
÷ 8 hours / day
= 416 - 832 days