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Examining perceptions of astronomy images across
mobile platforms: Does This iPad Make My Asteroid Look Fat?
Arcand, K.K. (SAO); Watzke, M (SAO); Smith, L.F. (Univ. Otago); Smith, J.K. (Univ. of Otago); Smith, R.K (SAO); Bookbinder, J (SAO)
Background Images of the cosmos provide snapshots of

various phases of life and death, different physical phenomena,
found in locations across the known Universe. Today, some

400 years after Galileo created his, modern telescopes have
enabled us to “see” what the human eye cannot. This new

generation of ground- and space-based telescopes has created
an explosion of images for experts and non-experts to explore.
The Aesthetics & Astronomy project studies the perception
of multi-wavelength astronomical imagery and the effects

http://astroart.cfa.harvard.edu

Details of Research
The Aesthetics & Astronomy (A&A) team consists of a unique combination of professional
astronomy communicators, astrophysicists, and aesthetics experts from the discipline

Smithsonian Astrophysical Observatory (SAO) authors:

of psychology, or whom a major goal is to explore how best to convey scientific information

60 Garden Street, Cambridge, MA 02138 USA

with non-expert audiences. In this study, funded by the Smithsonian Institution Scholarly
Studies Program, an online survey and two focus groups were used to explore whether

Phone: 617.218.7196

mobile platforms affect perception of astronomy images.

kkowal@cfa.harvard.edu Twitter: @kimberlykowal (Kimberly K. Arcand)
mwatzke@cfa.harvard.edu (Megan Watzke)

The online study, conducted in December of 2010, resulted in 2,384 usable responses,

rsmith@cfa.harvard.edu (Randall K. Smith)

in which participants on their mobile devices were randomly assigned to view 1 of 12

astronomy images. We collected demographic data, information about the type of mobile

jbookbinder@cfa.harvard.edu (Jay Bookbinder)

at the image. Additionally, two focus groups were conducted, one with 12 experts

Contact information for University of Otago authors:

device, reactions to the image shown, and viewing latencies for how long viewers looked
(astrophysicists/astronomers) and one with 10 non-expert volunteers from the public.

University of Otago – College of Education

of the scientific and artistic choices in processing astronomical
data. The images come from a variety of space and ground-

based observatories, including NASA’s Chandra X-ray Observatory,
Hubble Space Telescope, Spitzer Space Telescope, the Solar

Dynamics Observatory, the Very Large Array, and many others.
Evaluation of such data can benefit astronomy across the

electromagnetic spectrum of astronomical images, and may

145 Union Street, East Dunedin, 9054, New Zealand

Both experts and non-experts were presented

Summary of fascimile

with 3 deep space images across 3 platforms:

(Smith & Smith, 2001):

Jeffrey.smith@otago.ac.nz (Jeffrey K. Smith)

accommodation

a large projection screen, an iPad, and a small

Participants are

mobile device (e.g., an iPhone). Although this

the limitations of the

able to `look past’
selected medium.

was part of a larger study, we report here just

Error bar chart of responses to “How much do

When participants

you like this image?” by the image presented.

looked, for example,

on the mobile platform.

Circle represents mean response, and bars

on a small smart

help visualization of data in other scientific disciplines.

phone screen, they

represent 95% confidence interval for the mean.

accommodated to

Results indicated that there was support for Smith

Aesthetics from a psychological
perspective is the study of all things
beautiful whether art or not, and all
things art whether beautiful or not.

lisa.smith@otago.ac.nz (Lisa F. Smith)

the screen image

& Smith’s (2001) concept of facsimile accommodation

and focused their

in that, as might be expected, bigger was better

astronomy image.

attention on the
Smith & Smith

except in the absence of a comparison, where

speculate that people

participants adapted to the platform size. The

adjust to the limitations

results raise questions as to both size and quality

are viewing and

of the facsimile they

Error bar chart of responses to “How well could

concentrate on the

of images on mobile platforms in a rapidly changing

you explain this image to another person?” by

information in

the image presented. Circle represents mean

the image.

technological world.

response, and bars represent 95% confidence

Research questions for Aesthetics & Astronomy
include:

Findings

	 -  ow much do variations in presentation
H
of color, explanation, and scale affect

comprehension of astronomical images?
	 -  hat are the differences between various
W

populations (experts, novices, students) in
terms of what they learn from the images?

	 -  hat misconceptions do the non-experts
W

have about astronomy and the images they
are exposed to?

demonstrate a need for strong narrative and

textual context when presenting science images,
for explicit discussion of the colors and what
they represent in science images, and for a

clear sense of physical scale that is helpful for
comprehension, across all levels of expertise
(Arcand, et al., 2010; Smith, et al., 2010).

2

3

A multivariate analysis of variance was conducted to see if there were significant differences
in ratings for the two questions: (1) How much did you like this image? And (2) How well
could you explain this image to another person? The independent variables were Image

(12 different images were presented to participants), and Type of Device Used (participants
told us what device they were using—we limited the analysis here to Blackberry, iPhone,
and iPad). The analysis yielded significant differences for Image (using Wilks’ Lambda,

Error bar chart of responses to “How much

F [22, 1784] = 2.32, p  .001), but not for Type of Device Used, nor for the interaction

do you like this image?, and How well could

of Type of Device Used and Image. Univariate analyses of the significant finding for Type

you explain this image to another person” by

of Device indicate that the question, How well could you explain this image to another

the type of device used. Circle represents mean

person was significant at p  .001, but the question, How much do you like this image?

response, and bars represent 95% confidence

fell short of significance (p = .078).

interval for the mean.

References
Arcand, K.K., Watzke, M., Smith, L.F., Smith, J.K. “Surveying Aesthetics  Astronomy:

Previous Aesthetics  Astronomy studies

1

interval for the mean.

4

A project exploring the public’s perception of astronomy images and the science within”
Communicating Astronomy with the Public. Issue 10 December 2010.

Smith, L.F., Smith, J.K., Arcand K.K., Smith, R.K., Holterman Ten Hove, K. Aesthetics and
Astronomy: Studying the public’s perception and understanding of imagery from space.
Science Communication Journal. August 2010.

Preferences: Ratings of images by survey

Locher, P.J., Smith, L.F., Smith, J.K., The influence of presentation format and viewer

participants.

training in the visual arts on the perception of pictorial and aesthetic qualities of paintings.
Perception, volume 30. 2001.
Acknowledgements

This project was developed with funding from the Smithsonian Scholarly Studies Program. Additional funding was provided by the Hinode X-ray

Telescope, performed under NASA contract NNM07AB07C, with in-kind contributions from the Education and Outreach group for NASA’s Chandra X-ray
Observatory, operated by SAO under NASA Contract NAS8-03060.

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Examining perceptions of astronomy images across mobile platforms

  • 1. Examining perceptions of astronomy images across mobile platforms: Does This iPad Make My Asteroid Look Fat? Arcand, K.K. (SAO); Watzke, M (SAO); Smith, L.F. (Univ. Otago); Smith, J.K. (Univ. of Otago); Smith, R.K (SAO); Bookbinder, J (SAO) Background Images of the cosmos provide snapshots of various phases of life and death, different physical phenomena, found in locations across the known Universe. Today, some 400 years after Galileo created his, modern telescopes have enabled us to “see” what the human eye cannot. This new generation of ground- and space-based telescopes has created an explosion of images for experts and non-experts to explore. The Aesthetics & Astronomy project studies the perception of multi-wavelength astronomical imagery and the effects http://astroart.cfa.harvard.edu Details of Research The Aesthetics & Astronomy (A&A) team consists of a unique combination of professional astronomy communicators, astrophysicists, and aesthetics experts from the discipline Smithsonian Astrophysical Observatory (SAO) authors: of psychology, or whom a major goal is to explore how best to convey scientific information 60 Garden Street, Cambridge, MA 02138 USA with non-expert audiences. In this study, funded by the Smithsonian Institution Scholarly Studies Program, an online survey and two focus groups were used to explore whether Phone: 617.218.7196 mobile platforms affect perception of astronomy images. kkowal@cfa.harvard.edu Twitter: @kimberlykowal (Kimberly K. Arcand) mwatzke@cfa.harvard.edu (Megan Watzke) The online study, conducted in December of 2010, resulted in 2,384 usable responses, rsmith@cfa.harvard.edu (Randall K. Smith) in which participants on their mobile devices were randomly assigned to view 1 of 12 astronomy images. We collected demographic data, information about the type of mobile jbookbinder@cfa.harvard.edu (Jay Bookbinder) at the image. Additionally, two focus groups were conducted, one with 12 experts Contact information for University of Otago authors: device, reactions to the image shown, and viewing latencies for how long viewers looked (astrophysicists/astronomers) and one with 10 non-expert volunteers from the public. University of Otago – College of Education of the scientific and artistic choices in processing astronomical data. The images come from a variety of space and ground- based observatories, including NASA’s Chandra X-ray Observatory, Hubble Space Telescope, Spitzer Space Telescope, the Solar Dynamics Observatory, the Very Large Array, and many others. Evaluation of such data can benefit astronomy across the electromagnetic spectrum of astronomical images, and may 145 Union Street, East Dunedin, 9054, New Zealand Both experts and non-experts were presented Summary of fascimile with 3 deep space images across 3 platforms: (Smith & Smith, 2001): Jeffrey.smith@otago.ac.nz (Jeffrey K. Smith) accommodation a large projection screen, an iPad, and a small Participants are mobile device (e.g., an iPhone). Although this the limitations of the able to `look past’ selected medium. was part of a larger study, we report here just Error bar chart of responses to “How much do When participants you like this image?” by the image presented. looked, for example, on the mobile platform. Circle represents mean response, and bars on a small smart help visualization of data in other scientific disciplines. phone screen, they represent 95% confidence interval for the mean. accommodated to Results indicated that there was support for Smith Aesthetics from a psychological perspective is the study of all things beautiful whether art or not, and all things art whether beautiful or not. lisa.smith@otago.ac.nz (Lisa F. Smith) the screen image & Smith’s (2001) concept of facsimile accommodation and focused their in that, as might be expected, bigger was better astronomy image. attention on the Smith & Smith except in the absence of a comparison, where speculate that people participants adapted to the platform size. The adjust to the limitations results raise questions as to both size and quality are viewing and of the facsimile they Error bar chart of responses to “How well could concentrate on the of images on mobile platforms in a rapidly changing you explain this image to another person?” by information in the image presented. Circle represents mean the image. technological world. response, and bars represent 95% confidence Research questions for Aesthetics & Astronomy include: Findings - ow much do variations in presentation H of color, explanation, and scale affect comprehension of astronomical images? - hat are the differences between various W populations (experts, novices, students) in terms of what they learn from the images? - hat misconceptions do the non-experts W have about astronomy and the images they are exposed to? demonstrate a need for strong narrative and textual context when presenting science images, for explicit discussion of the colors and what they represent in science images, and for a clear sense of physical scale that is helpful for comprehension, across all levels of expertise (Arcand, et al., 2010; Smith, et al., 2010). 2 3 A multivariate analysis of variance was conducted to see if there were significant differences in ratings for the two questions: (1) How much did you like this image? And (2) How well could you explain this image to another person? The independent variables were Image (12 different images were presented to participants), and Type of Device Used (participants told us what device they were using—we limited the analysis here to Blackberry, iPhone, and iPad). The analysis yielded significant differences for Image (using Wilks’ Lambda, Error bar chart of responses to “How much F [22, 1784] = 2.32, p .001), but not for Type of Device Used, nor for the interaction do you like this image?, and How well could of Type of Device Used and Image. Univariate analyses of the significant finding for Type you explain this image to another person” by of Device indicate that the question, How well could you explain this image to another the type of device used. Circle represents mean person was significant at p .001, but the question, How much do you like this image? response, and bars represent 95% confidence fell short of significance (p = .078). interval for the mean. References Arcand, K.K., Watzke, M., Smith, L.F., Smith, J.K. “Surveying Aesthetics Astronomy: Previous Aesthetics Astronomy studies 1 interval for the mean. 4 A project exploring the public’s perception of astronomy images and the science within” Communicating Astronomy with the Public. Issue 10 December 2010. Smith, L.F., Smith, J.K., Arcand K.K., Smith, R.K., Holterman Ten Hove, K. Aesthetics and Astronomy: Studying the public’s perception and understanding of imagery from space. Science Communication Journal. August 2010. Preferences: Ratings of images by survey Locher, P.J., Smith, L.F., Smith, J.K., The influence of presentation format and viewer participants. training in the visual arts on the perception of pictorial and aesthetic qualities of paintings. Perception, volume 30. 2001. Acknowledgements This project was developed with funding from the Smithsonian Scholarly Studies Program. Additional funding was provided by the Hinode X-ray Telescope, performed under NASA contract NNM07AB07C, with in-kind contributions from the Education and Outreach group for NASA’s Chandra X-ray Observatory, operated by SAO under NASA Contract NAS8-03060. 5 6 7 8 9 10 11 12