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Rush: Repeated
           Recommendations on
              Mobile Devices


Dominikus Baur, Sebastian Boring, Andreas Butz...
Recommendation
        +
   Interaction
• Has only been applied to text entry
• No study of interface parameters such as
  orientation or direction
Navigation
Recommendations
Selection
Two studies:


       Interface
 I.    Parameters



       Suitability,
II.    Recommendation
       Strategies
A, B, C, D....




                 I.
A, B, C, D....


                 ?

                     I.
I.
II.
?



    I.
iPhone      iPhone
horizontal   vertical




                        I.
rush        rush
 interface   interface
horizontal    vertical




                         I.
I.
I.
I.
• Main goal:
  Find the optimal parameters for orientation
  and direction.



  For more details, see the paper.



     ...
• 12 participants (2 left-handed)
• 16 timed runs (+ 16 trial runs)


                                    I.
40s

            30s
Task Time




            20s

            10s

             0s
                  Horizontal         ...
• (H2) Dominant hand > non-dominant hand

• Only right-handers: No significant
  difference! (26.39s to 26.34s)




       ...
II.
• 3900 song set
• sufficiently popular (at least 500.000 times
  played on last.fm)

• at least 10 similar songs for each i...
• Task:
  Create a playlist with ten songs based on
  the same seed song for a social event.




                         ...
II.
Neutral Milk Hotel
                            62.25
                                    Two-headed Boy

                 ...
Neutral Milk Hotel
                            62.25
                                    Two-headed Boy                   ...
Neutral Milk Hotel
                            62.25
                                    Two-headed Boy

                 ...
Neutral Milk Hotel
                            62.25
                                    Two-headed Boy                   ...
• 12 participants (2 left-handed, 4 from the
  previous study)

• 3 rush (Top-5, Random, Hybrid)
  3 automatic (Top-5, Ran...
• Main goals:
  See if rush works in comparison to fully
  manual and automatic approaches.

  Compare the three simple re...
Top-5   Random    Hybrid

            400s

            300s
Task Time




            200s

            100s

           ...
• Quality of playlists is hard to evaluate (very
  personal)

• Online study with 10 participants


                      ...
Study
I     Manual                            (6+)


II    Rush (Hybrid)                  (5+, 1-)


III   Rush (Random)  ...
Online
I     Rush (Hybrid)                  (4w, 2u)


I     Rush (Random)                  (4w, 2u)


I     Automatic (Hy...
Manual                 Rush (Hybrid)           +1

Rush (Hybrid)          Rush (Random)           +2

Rush (Random)       ...
• Results:
  Rush is faster than a manual approach.

  Hybrid and Random are comparable.

  Top-5 is too restrictive.




...
• Interaction technique for
  selecting multiple items on
  mobile touchscreen devices

• Two user studies:
  Interface pa...
• Future work
• Use more sophisticated
  recommendation strategies

• Examine other ways for
  navigation (flicking, etc.)
Thank you!




Image credits:

Flickr.com: Daveybot, surroundsound5000, aphasiafilms, widdowquinn, Qfamily, neyugnd, lism, ...
Rush: Repeated Recommendations on Mobile Devices - IUI'10
Rush: Repeated Recommendations on Mobile Devices - IUI'10
Rush: Repeated Recommendations on Mobile Devices - IUI'10
Rush: Repeated Recommendations on Mobile Devices - IUI'10
Rush: Repeated Recommendations on Mobile Devices - IUI'10
Rush: Repeated Recommendations on Mobile Devices - IUI'10
Rush: Repeated Recommendations on Mobile Devices - IUI'10
Rush: Repeated Recommendations on Mobile Devices - IUI'10
Rush: Repeated Recommendations on Mobile Devices - IUI'10
Rush: Repeated Recommendations on Mobile Devices - IUI'10
Rush: Repeated Recommendations on Mobile Devices - IUI'10
Rush: Repeated Recommendations on Mobile Devices - IUI'10
Rush: Repeated Recommendations on Mobile Devices - IUI'10
Rush: Repeated Recommendations on Mobile Devices - IUI'10
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Rush: Repeated Recommendations on Mobile Devices - IUI'10

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Conference presentation in Intelligent User Interfaces - IUI 2010:
Rush is an interaction technique for mobile touchscreen devices. It combines recommendation with interaction and allows users to create personalized collections from item sets (e.g., music playlists).

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Rush: Repeated Recommendations on Mobile Devices - IUI'10

  1. 1. Rush: Repeated Recommendations on Mobile Devices Dominikus Baur, Sebastian Boring, Andreas Butz Media Informatics Group University of Munich, Germany
  2. 2. Recommendation + Interaction
  3. 3. • Has only been applied to text entry • No study of interface parameters such as orientation or direction
  4. 4. Navigation
  5. 5. Recommendations
  6. 6. Selection
  7. 7. Two studies: Interface I. Parameters Suitability, II. Recommendation Strategies
  8. 8. A, B, C, D.... I.
  9. 9. A, B, C, D.... ? I.
  10. 10. I.
  11. 11. II.
  12. 12. ? I.
  13. 13. iPhone iPhone horizontal vertical I.
  14. 14. rush rush interface interface horizontal vertical I.
  15. 15. I.
  16. 16. I.
  17. 17. I.
  18. 18. • Main goal: Find the optimal parameters for orientation and direction. For more details, see the paper. I.
  19. 19. • 12 participants (2 left-handed) • 16 timed runs (+ 16 trial runs) I.
  20. 20. 40s 30s Task Time 20s 10s 0s Horizontal Vertical Device Orientation I.
  21. 21. • (H2) Dominant hand > non-dominant hand • Only right-handers: No significant difference! (26.39s to 26.34s) I.
  22. 22. II.
  23. 23. • 3900 song set • sufficiently popular (at least 500.000 times played on last.fm) • at least 10 similar songs for each item (data from last.fm) II.
  24. 24. • Task: Create a playlist with ten songs based on the same seed song for a social event. II.
  25. 25. II.
  26. 26. Neutral Milk Hotel 62.25 Two-headed Boy Neutral Milk Hotel 62.11 Communist Daughter The Decemberists 3.85 Neutral Milk Hotel The Crane Wife In the Aeroplane over the The Decemberists Sea 3.68 O Valencia! Sufjan Stevens 3.59 Casimir Pulaski Day The Decemberists 3.53 Yankee Bayonet (I Will Be Home Then) Sufjan Stevens 3.36 Chicago 4 2 1 3 5 3.28 Wolf Parade Shine a Light Arcade Fire 3.24 Neighborhood #1 (Tunnels) Elliott Smith 3.14 Say Yes The Shins 3.10 Kissing the Lipless The National 3.10 Fake Empire 2.92 Fleet Foxes White Winter Hymnal II.
  27. 27. Neutral Milk Hotel 62.25 Two-headed Boy 1 Neutral Milk Hotel 62.11 Communist Daughter 2 Neutral Milk Hotel 3.85 The Decemberists The Crane Wife 3 In the Aeroplane over the Sea 3.68 The Decemberists O Valencia! 4 Sufjan Stevens 3.59 Casimir Pulaski Day 5 The Decemberists 3.53 Yankee Bayonet (I Will Be Home Then) Sufjan Stevens 3.36 Chicago 4 2 1 3 5 3.28 Wolf Parade Shine a Light Arcade Fire 3.24 Neighborhood #1 (Tunnels) Elliott Smith 3.14 Say Yes The Shins 3.10 Kissing the Lipless The National Top-5 3.10 Fake Empire 2.92 Fleet Foxes White Winter Hymnal II.
  28. 28. Neutral Milk Hotel 62.25 Two-headed Boy Neutral Milk Hotel 62.11 Communist Daughter Neutral Milk Hotel 3.85 The Decemberists The Crane Wife 3 In the Aeroplane over the The Decemberists Sea 3.68 O Valencia! Sufjan Stevens 3.59 Casimir Pulaski Day 1 The Decemberists 3.53 Yankee Bayonet (I Will Be Home Then) Sufjan Stevens 3.36 Chicago 4 2 1 3 5 3.28 Wolf Parade 4 Shine a Light Arcade Fire 3.24 Neighborhood #1 (Tunnels) Elliott Smith 3.14 Say Yes The Shins 3.10 Kissing the Lipless 5 The National 2 Random 3.10 Fake Empire 2.92 Fleet Foxes White Winter Hymnal II.
  29. 29. Neutral Milk Hotel 62.25 Two-headed Boy 1 Neutral Milk Hotel 62.11 Communist Daughter The Decemberists 3.85 Neutral Milk Hotel The Crane Wife In the Aeroplane over the The Decemberists Sea 3.68 O Valencia! Sufjan Stevens 3.59 Casimir Pulaski Day The Decemberists 3.53 2 Yankee Bayonet (I Will Be Home Then) Sufjan Stevens 3.36 Chicago 3 4 2 1 3 5 3.28 Wolf Parade Shine a Light Arcade Fire 3.24 Neighborhood #1 (Tunnels) Elliott Smith 3.14 Say Yes The Shins 3.10 Kissing the Lipless The National 4 Hybrid 3.10 Fake Empire 2.92 Fleet Foxes White Winter Hymnal 5 II.
  30. 30. • 12 participants (2 left-handed, 4 from the previous study) • 3 rush (Top-5, Random, Hybrid) 3 automatic (Top-5, Random, Hybrid) 1 manual II.
  31. 31. • Main goals: See if rush works in comparison to fully manual and automatic approaches. Compare the three simple recommendation approaches. For more details, see the paper. II.
  32. 32. Top-5 Random Hybrid 400s 300s Task Time 200s 100s 0s Automatic Rush Manual Tool II.
  33. 33. • Quality of playlists is hard to evaluate (very personal) • Online study with 10 participants II.
  34. 34. Study I Manual (6+) II Rush (Hybrid) (5+, 1-) III Rush (Random) (4+, 2-) IV Automatic (Random) (3+, 3-) V Rush (Top-5) (2+, 4-) VI Automatic (Top-5) (1+, 5-) VII Automatic (Hybrid) (6-) Tool ranking (Study) II.
  35. 35. Online I Rush (Hybrid) (4w, 2u) I Rush (Random) (4w, 2u) I Automatic (Hybrid) (4w, 2u) IV Automatic (Random) (3+, 3-) V Manual (2+, 4-) VI Rush (Top-5) (1+, 5-) VII Automatic (Top-5) (6-) Tool ranking (Online) II.
  36. 36. Manual Rush (Hybrid) +1 Rush (Hybrid) Rush (Random) +2 Rush (Random) Automatic (Hybrid) +6 Automatic (Random) Automatic (Random) +0 Rush (Top-5) Manual -4 Automatic (Top-5) Rush (Top-5) -1 Automatic (Hybrid) Automatic (Top-5) -1 Tool ranking (Study) Tool ranking (Online) II.
  37. 37. • Results: Rush is faster than a manual approach. Hybrid and Random are comparable. Top-5 is too restrictive. II.
  38. 38. • Interaction technique for selecting multiple items on mobile touchscreen devices • Two user studies: Interface parameters Comparison to other approaches
  39. 39. • Future work • Use more sophisticated recommendation strategies • Examine other ways for navigation (flicking, etc.)
  40. 40. Thank you! Image credits: Flickr.com: Daveybot, surroundsound5000, aphasiafilms, widdowquinn, Qfamily, neyugnd, lism, eflon, Andy Ciordia, @jackeliiine, jcolman, anothersamchan, xmacex, tomer.gabel, James Cridland, jm3, hortulus, inconstanti, natpie, Anirudh Koul, Kaptain Kobold Wikipedia Commons: ProfDEH dominikus.baur@ifi.lmu.de

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