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European Bioinformatics Institute    13 - Apr - 2011  Human factors in computational biology:  from mathematical models to user interfaces Anna Divoli
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],motivation     [usability studies…]     [expert opinions…]     acknowledgments
BioText Search Engine  Marti A. Hearst, Anna Divoli, Harendra Guturu, Alex Ksikes, Preslav Nakov, Michael A. Wooldridge and Jerry Ye (2007)  “BioText Search Engine: beyond abstract search” Bioinformatics, 23: 2196-2197 motivation      BioText     HCI    Usability Studies: one, two, three     Conclusions    [expert opinions…]     acknowledgments
Tools for: machines… workflows… end users! motivation      BioText     HCI    Usability Studies: one, two, three     Conclusions    [expert opinions…]     acknowledgments
[object Object],[object Object],[object Object],[object Object],HCI principles motivation     BioText     HCI     Usability Studies: one, two, three     Conclusions    [expert opinions…]     acknowledgments  Design Prototype Evaluate
[object Object],[object Object],[object Object],HCI principles motivation     BioText     HCI     Usability Studies: one, two, three     Conclusions    [expert opinions…]     acknowledgments
Three Usability Studies for BioText: Study 1 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],motivation     BioText    HCI     Usability Studies: one , two, three     Conclusions    [expert opinions…]     acknowledgments
 
[object Object],[object Object],[object Object],[object Object],[object Object],Study 1: Results motivation     BioText    HCI     Usability Studies: one , two, three     Conclusions    [expert opinions…]     acknowledgments
Three Usability Studies for BioText: Study 2 2. Study that explored whether or not to show term-extracted entity information to users Divoli, A., Hearst, M.A. and Wooldridge, M.A. (2008) "Evidence for Showing Gene/Protein Name Suggestions in Bioscience Literature Search", PSB 2008 First Goal: Determine whether or not bioscience literature searchers wish to  see  related term suggestions  (gene and protein names) Second Goal: Determine  how to   display  to users term expansions - online surveys: 38 & 19 participants motivation     BioText    HCI     Usability Studies:  one,  two , three     Conclusions    [expert opinions…]     acknowledgments
Related Information Type  Avg rating  # selecting 1 or 2   Gene’s Synonyms 4.4 2  Gene’s Synonyms refined by organism 4.0 2  Gene’s Homologs 3.7 5  Genes from same family: parents 3.4 7  Genes from same family: children  3.6 4  Genes from same family: siblings  3.2 9  Genes this gene interacts with 3.7 4  Diseases this gene is associated with  3.4 6  Chemicals/drugs this gene is associated with  3.2  8  Localization information for this gene  3.7 3  1   2   3     4 5   (Do NOT want this)     (Neutral)   (REALLY want this) Study 2a: Results
Design 1: baseline motivation     BioText    HCI     Usability Studies:  one,  two , three     Conclusions    [expert opinions…]     acknowledgments
Design 2: links motivation     BioText    HCI     Usability Studies:  one,  two , three     Conclusions    [expert opinions…]     acknowledgments
Design 3: checkboxes motivation     BioText    HCI     Usability Studies:  one,  two , three     Conclusions    [expert opinions…]     acknowledgments
Design 4: categories motivation     BioText    HCI     Usability Studies:  one,  two , three     Conclusions    [expert opinions…]     acknowledgments
Study 2b: Results motivation     BioText    HCI     Usability Studies:  one,  two , three     Conclusions    [expert opinions…]     acknowledgments  Design Participants who rated design 1st or 2nd  Average rating (1=low, 4=high) # % 3: checkboxes 15 79 3.3 4: categories 10 53 2.6 2: links 9 47 2.5 1: baseline 0 0 1.6
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Study 2: More Results motivation     BioText    HCI     Usability Studies:  one,  two , three     Conclusions    [expert opinions…]     acknowledgments
3. Final study once the project was completed Divoli, A., Hearst, M.A. and Wooldridge, M.A. (2010) "Full Text and Figure Display Improves Bioscience Literature Search ”, PLoS ONE 5(4): e9619  Four Hypotheses: H1: Most participants would have a  favorable response  to the display of the  articles’ figures  next to the search results, for most information seeking tasks.  H2: Most participants would have a  favorable response  to  searching over the full text , as opposed to just the abstract and title, for the primary search view.  H3: Some participants would find the  grid view with caption search appealing  for specialized information seeking tasks.  H4: Some participants would find the  table view with table text and caption search appealing  for specialized information seeking tasks .  motivation     BioText    HCI     Usability Studies:  one, two,  three      Conclusions    [expert opinions…]     acknowledgments  Three Usability Studies for BioText: Study 3 - in person surveys: 20 participants   15/20 10/20  7/20
motivation     BioText    HCI     Usability Studies:  one, two,  three      Conclusions    [expert opinions…]     acknowledgments  Study 3: Results Text search Figure caption search Table search Frequently 15 8 6 Sometimes 4 7 4 Rarely 0 4 7 Never 0 0 2 Undecided 1 1 1
motivation     BioText    HCI     Usability Studies:  one, two,  three      Conclusions    [expert opinions…]     acknowledgments  Study 3: More Results - Favourable features ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Usability Conclusions motivation     BioText    HCI    Usability Studies: one, two, three     Conclusions    [expert opinions…]     acknowledgments  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Acknowledgements Andrey Rzhetsky Eneida Mendonca James Evans Sarah White  Zoe Nyssa Rzhetsky Lab LICR  pre-interviews (4) interviews (28) focus group (7) Very grateful to all  the experts/participants! Funded by: Marti Hearst Mike Wooldridge Preslav Nakov Jerry Ye  Ariel Schwartz Harendra Gututru Alex Ksikes NSF, Genentech study 1 (8) study 2 (48) study 3 (20) motivation     [usability studies…]     [expert opinions…]     acknowledgments

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Ebi apr2011 usability-part

  • 1. European Bioinformatics Institute 13 - Apr - 2011 Human factors in computational biology: from mathematical models to user interfaces Anna Divoli
  • 2.
  • 3. BioText Search Engine Marti A. Hearst, Anna Divoli, Harendra Guturu, Alex Ksikes, Preslav Nakov, Michael A. Wooldridge and Jerry Ye (2007) “BioText Search Engine: beyond abstract search” Bioinformatics, 23: 2196-2197 motivation  BioText  HCI  Usability Studies: one, two, three  Conclusions  [expert opinions…]  acknowledgments
  • 4. Tools for: machines… workflows… end users! motivation  BioText  HCI  Usability Studies: one, two, three  Conclusions  [expert opinions…]  acknowledgments
  • 5.
  • 6.
  • 7.
  • 8.  
  • 9.
  • 10. Three Usability Studies for BioText: Study 2 2. Study that explored whether or not to show term-extracted entity information to users Divoli, A., Hearst, M.A. and Wooldridge, M.A. (2008) "Evidence for Showing Gene/Protein Name Suggestions in Bioscience Literature Search", PSB 2008 First Goal: Determine whether or not bioscience literature searchers wish to see related term suggestions (gene and protein names) Second Goal: Determine how to display to users term expansions - online surveys: 38 & 19 participants motivation  BioText  HCI  Usability Studies: one, two , three  Conclusions  [expert opinions…]  acknowledgments
  • 11. Related Information Type Avg rating # selecting 1 or 2 Gene’s Synonyms 4.4 2 Gene’s Synonyms refined by organism 4.0 2 Gene’s Homologs 3.7 5 Genes from same family: parents 3.4 7 Genes from same family: children 3.6 4 Genes from same family: siblings 3.2 9 Genes this gene interacts with 3.7 4 Diseases this gene is associated with 3.4 6 Chemicals/drugs this gene is associated with 3.2 8 Localization information for this gene 3.7 3 1 2 3 4 5 (Do NOT want this) (Neutral) (REALLY want this) Study 2a: Results
  • 12. Design 1: baseline motivation  BioText  HCI  Usability Studies: one, two , three  Conclusions  [expert opinions…]  acknowledgments
  • 13. Design 2: links motivation  BioText  HCI  Usability Studies: one, two , three  Conclusions  [expert opinions…]  acknowledgments
  • 14. Design 3: checkboxes motivation  BioText  HCI  Usability Studies: one, two , three  Conclusions  [expert opinions…]  acknowledgments
  • 15. Design 4: categories motivation  BioText  HCI  Usability Studies: one, two , three  Conclusions  [expert opinions…]  acknowledgments
  • 16. Study 2b: Results motivation  BioText  HCI  Usability Studies: one, two , three  Conclusions  [expert opinions…]  acknowledgments Design Participants who rated design 1st or 2nd Average rating (1=low, 4=high) # % 3: checkboxes 15 79 3.3 4: categories 10 53 2.6 2: links 9 47 2.5 1: baseline 0 0 1.6
  • 17.
  • 18. 3. Final study once the project was completed Divoli, A., Hearst, M.A. and Wooldridge, M.A. (2010) "Full Text and Figure Display Improves Bioscience Literature Search ”, PLoS ONE 5(4): e9619 Four Hypotheses: H1: Most participants would have a favorable response to the display of the articles’ figures next to the search results, for most information seeking tasks. H2: Most participants would have a favorable response to searching over the full text , as opposed to just the abstract and title, for the primary search view. H3: Some participants would find the grid view with caption search appealing for specialized information seeking tasks. H4: Some participants would find the table view with table text and caption search appealing for specialized information seeking tasks . motivation  BioText  HCI  Usability Studies: one, two, three  Conclusions  [expert opinions…]  acknowledgments Three Usability Studies for BioText: Study 3 - in person surveys: 20 participants   15/20 10/20 7/20
  • 19. motivation  BioText  HCI  Usability Studies: one, two, three  Conclusions  [expert opinions…]  acknowledgments Study 3: Results Text search Figure caption search Table search Frequently 15 8 6 Sometimes 4 7 4 Rarely 0 4 7 Never 0 0 2 Undecided 1 1 1
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  • 21.
  • 22. Acknowledgements Andrey Rzhetsky Eneida Mendonca James Evans Sarah White Zoe Nyssa Rzhetsky Lab LICR pre-interviews (4) interviews (28) focus group (7) Very grateful to all the experts/participants! Funded by: Marti Hearst Mike Wooldridge Preslav Nakov Jerry Ye Ariel Schwartz Harendra Gututru Alex Ksikes NSF, Genentech study 1 (8) study 2 (48) study 3 (20) motivation  [usability studies…]  [expert opinions…]  acknowledgments