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Clipping Lists & Change Borders: Improving Multitasking Efficiency with Peripheral Information Design Mary Czerwinski George Robertson Desney Tan Microsoft.

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Presentation on theme: "Clipping Lists & Change Borders: Improving Multitasking Efficiency with Peripheral Information Design Mary Czerwinski George Robertson Desney Tan Microsoft."— Presentation transcript:

1 Clipping Lists & Change Borders: Improving Multitasking Efficiency with Peripheral Information Design Mary Czerwinski George Robertson Desney Tan Microsoft Research Tara Matthews U.C. Berkeley

2 2 Peripheral Info can Help Multitaskers Information workers balance many tasks and interruptions and need help to maintain task flow know when to resume tasks more easily reacquire tasks We explore peripheral information design to support these needs

3 3 Study: compare abstraction techniques Change detection signals when a change has occurred Relevant task information pulling out and showing the most relevant content Scaling shrunken version of all the content  Which will most improve multitasking efficiency?

4 4 Results: most relevant task info… + benefits task flow, resumption timing, and reacquisition + improves multitasking performance more than either change detection or scaling Clipping Lists performed best: like WinCuts, cuts out a relevant portion of each task window like Scalable Fabric, arranges clippings in the periphery

5 5 Outline System design Scalable Fabric, Clipping Lists, & Change Borders User study Results Design implications & future work

6 6 Our Designs: Video

7 7 Study Design no ClippingsClippings no Change Borders Change Borders

8 8 Comparing Tradeoffs no ClippingsClippings no Change Borders + spatial layout – no legible content + most relevant task info – detailed visuals / text Change Borders + spatial layout + simple visual cue for change – limited info + most relevant task info + simple visual cue for change

9 9 User Study: Participants 26 users from the Seattle area (10 female) moderate to high experience using computers and Microsoft Office-style applications

10 10 User Study: Tasks Four tasks designed to mimic real world tasks Quiz - wait for modules to load Uploads - wait for documents to upload - wait for quiz answers and upload task documents to arrive Puzzle - high-attention task done while waiting

11 Quiz

12 12 User Study: Tasks Four tasks designed to mimic real world tasks Quiz - wait for modules to load Uploads - wait for documents to upload - wait for quiz answers and upload task documents to arrive Puzzle - high-attention task done while waiting

13 13 Uploads

14 14 User Study: Tasks Four tasks designed to mimic real world tasks Quiz - wait for modules to load Uploads - wait for documents to upload - wait for quiz answers and upload task documents to arrive Puzzle - high-attention task done while waiting

15 15 User Study: Tasks Four tasks designed to mimic real world tasks Quiz - wait for modules to load Uploads - wait for documents to upload - wait for quiz answers and upload task documents to arrive Puzzle - high-attention task done while waiting

16 16 Puzzle

17 17 User Study: Tasks Four tasks designed to mimic real world tasks Quiz - wait for modules to load Uploads - wait for documents to upload - wait for quiz answers and upload task documents to arrive Puzzle - high-attention task done while waiting

18 18 User Study Setup left monitor right monitor

19 19 Metrics & Key Results Metrics Overall performance Ability to maintain task flow Knowing when to resume a task Ease of reacquiring tasks User satisfaction Key results Clipping Lists perform significantly better for all metrics Change Borders further improved performance for most metrics, on average

20 20 Results: overall performance Clipping Lists  faster performance Change Borders  no significant improvement

21 21 Results: overall performance Clipping Lists  faster performance Change Borders  no significant improvement

22 22 Results: overall performance Clipping Lists  faster performance Change Borders  no significant improvement

23 23 Results: overall performance Clipping Lists  faster performance Change Borders  no significant improvement

24 24 Results: overall performance Clipping Lists  faster performance Change Borders  no significant improvement

25 25 Results: task flow Clipping Lists  better task flow Change Borders  worse task flow for SF

26 26 Results: task flow Clipping Lists  better task flow Change Borders  worse task flow for SF

27 27 Results: task flow Clipping Lists  better task flow Change Borders  worse task flow for SF

28 28 Results: task flow Clipping Lists  better task flow Change Borders  worse task flow for SF

29 29 Results: knowing when to resume Clipping Lists  trend toward resuming the Quiz task at more opportune times

30 30 Results: knowing when to resume Clipping Lists  trend toward resuming the Quiz task at more opportune times

31 31 Results: ease of reacquiring tasks Clipping Lists  easier to reacquire tasks Change Borders  no significant improvement

32 32 Results: ease of reacquiring tasks Clipping Lists  easier to reacquire tasks Change Borders  no significant improvement

33 33 Results: ease of reacquiring tasks Clipping Lists  easier to reacquire tasks Change Borders  no significant improvement

34 34 Results: user satisfaction Clipping List UIs  rated better than those without Change Border UIs  rated better than those without Preferred UI 17– Clipping Lists + Change Borders 4– Scalable Fabric + Change Borders 2– Clipping Lists 2– Scalable Fabric

35 35 Results: user satisfaction Clipping List UIs  rated better than those without Change Border UIs  rated better than those without Preferred UI 17– Clipping Lists + Change Borders 4– Scalable Fabric + Change Borders 2– Clipping Lists 2– Scalable Fabric

36 36 Results: user satisfaction Clipping List UIs  rated better than those without Change Border UIs  rated better than those without Preferred UI 17– Clipping Lists + Change Borders 4– Scalable Fabric + Change Borders 2– Clipping Lists 2– Scalable Fabric

37 37 Results: user satisfaction Clipping List UIs  rated better than those without Change Border UIs  rated better than those without Preferred UI 17– Clipping Lists + Change Borders 4– Scalable Fabric + Change Borders 2– Clipping Lists 2– Scalable Fabric

38 38 Results Summary Clipping Lists were most effective for all metrics Overall performance Ability to maintain task flow Knowing when to resume a task Ease of reacquiring tasks User satisfaction Improvements are cumulative, adding up to a sizeable impact on daily multitasking productivity Clipping Lists  29 seconds faster on average Clipping Lists + Change Borders  44 seconds faster on average

39 39 Peripheral Design Implications Why were Clipping Lists more effective? Provided most relevant task info Why is this surprising? Clippings are higher in detail than Change Borders – require more attention Why were Change Borders relatively less effective? Change detection didn’t provide enough task info Change Borders + Clipping Lists were most effective together

40 40 Peripheral Design Implications Show enough relevant task information Even if this means more detailed visuals Combining relevant task info with simple visuals is best

41 41 Future Work Glanceable peripheral interfaces Relevant task info does not require excessive details Easy to perceive & interpret visuals should perform better Presumably, simpler visuals will be easier to perceive What is the sweet spot between simple design and conveying relevant info? Automatic selection of content relevant to user’s tasks

42 42 Summary no ClippingsClippings no Change Borders + spatial layout – no legible content + most relevant task info – detailed visuals / text Change Borders + spatial layout + simple visual cue for change – limited info + most relevant task info + simple visual cue for change

43 43 Summary no ClippingsClippings no Change Borders + spatial layout – no legible content + most relevant task info – detailed visuals / text Change Borders + spatial layout + simple visual cue for change – limited info + most relevant task info + simple visual cue for change

44 44 Summary no ClippingsClippings no Change Borders + spatial layout – no legible content + most relevant task info – detailed visuals / text Change Borders + spatial layout + simple visual cue for change – limited info + most relevant task info + simple visual cue for change

45 45 Questions? Contact Tara Matthews Download Scalable Fabric

46 46 Extra Slides

47 47 Summary Results: showing relevant task info via Clippings best enabled users to maintain task flow know when to resume tasks more easily reacquire tasks Peripheral design implications: providing enough relevant task info may be more important than very simplistic designs together, relevant task info and simplistic visuals improve performance even more

48 48 Our Designs

49 49 Scalable Fabric Study compares Scalable Fabric and two variations of it Clipping Lists & Change Borders We use SF since tasks span multiple applications and SF keeps track of tasks across applications

50 50 Scaling: baseline condition Previous study: Scalable Fabric performed as well as Windows & was qualitatively preferred Scaling benefits: convey window’s spatial layout, major color schemes, & graphics may enable easy recognition of windows for reacquiring tasks large updates are visible …but virtually none of the content is legible…

51 51 Clipping Lists: semantic content extraction SF scaled windows are replaced by clippings Clippings: live window cuts, manually created by user Task: list of clippings Benefits: shows most relevant portion of window more readable than scaled window Disadvantages: may provide too much info, increasing cognitive overhead removes spatial window layout

52 52 Change Borders: change detection red = change in progress green = change is complete

53 53 Change Borders: change detection Benefits: cognitive overhead is low knowing about changes can help users know when to resume a paused task, e.g., when waiting for important documents to upload files to be checked in to a version control system a compiler build to complete a large file or Web page to load Disadvantages: change doesn’t always require a task switch, e.g., moving Web page ads spam


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