1. Observation, Interviews, and Questionnaires a.k.a. How to watch and talk to your users

2. Agenda Questions? Reminder: part 3 due NEXT WEEK Bring your prototype to class Highly recommended: read on Heuristic Evaluation and Cognitive Walkthrough, be prepared for them Observation Interview Questionnaire Evaluation plan discussion

3. Observing Users Not as easy as you think One of the best ways to gather feedback about your interface Watch, listen and learn as a person interacts with your system Usually what occurs during a “usability test”

4. Location Observations may be In lab - Maybe a specially built usability lab Easier to control Can have user complete set of tasks In field Watch their everyday actions More realistic Harder to control other factors

5. Usability Lab http://www.surgeworks.com/services/observ ation_room2.htm Large viewing area in this one- way mirror which includes an angled sheet of glass the improves light capture and prevents sound transmission between rooms. Doors for participant room and observation rooms are located such that participants are unaware of observers movements in and out of the observation room.

6. Observation Direct In same room Can be intrusive Users aware of your presence Only see it one time, relies on good note-taking May use 1-way mirror to reduce intrusiveness Indirect Video recording Software logging Reduces intrusiveness, but doesn’t eliminate it Gives archival record, but can spend a lot of time reviewing it

7. Engaging Users In simple observation, you see actions but not what is going on in their head Qualitative techniques Think-aloud - very helpful Post-hoc verbal protocol - review video Critical incident logging - positive & negative Structured interviews - good questions “What did you like best/least?” “How would you change..?”

8. Think Aloud User describes verbally what s/he is thinking and doing What they believe is happening Why they take an action What they are trying to do Very widely used, useful technique Better understand user’s thought processes Potential problems: Can be awkward for participant Thinking aloud can modify way user performs task

9. Cooperative approach Another technique: Co-discovery learning (Constructive iteration) Join pairs of participants to work together Use think aloud Perhaps have one person be semi-expert (coach) and one be novice More natural (like conversation) so removes some awkwardness of individual think aloud Variant: let coach be from design team (cooperative evaluation)

10. Alternative What if thinking aloud during session will be too disruptive? Can use post-event protocol User performs session, then watches video afterwards and describes what s/he was thinking Sometimes difficult to recall Opens up door of interpretation

11. What if a user gets stuck? Determine in advance when and how you will offer help Use cooperative approaches: “What are you trying to do..?” “What made you think..?” “How would you like to perform..?” “What would make this easier to accomplish..?” Maybe offer hints

12. Inputs Need operational prototype could use Wizard of Oz or other simulation Need tasks and descriptions Reflect real tasks Avoid choosing only tasks your design best supports Minimize necessary background knowledge Pay attention to time and training required

13. Data Task based How do users approach the problem What problems do users have Need not be exhaustive, look for interesting cases Performance based Frequency and timing of actions, errors, task completion, etc. Analyzing data can be very time consuming!

14. Capturing a Session 1. Paper & pencil Is definitely cheap and easy Can be slow May miss things Time 10:00 10:03 10:08 10:22 Task 1 Task 2 Task 3 … SeSe SeSe

15. Capturing a Session 2. Recording (audio and/or video) Good for think-aloud Hard to tie to interface Multiple cameras may be needed Good, rich record of session Can be intrusive Can be painful to transcribe and analyze

16. Capturing a Session 3. Software logging Modify software to log user actions Can give time-stamped key press or mouse event Two problems: Too low-level, want higher level events Massive amount of data, need analysis tools

17. Example: Heather’s study Software: MeetingViewer interface fully functional Criteria – learnability, efficiency, see what aspects of interface get used, what might be missing Resources – subjects were students in a research group, just me as evaluator, plenty of time Wanted completely authentic experience

18. Heather’s evaluation Task: answer questions from a recorded meeting, use my software as desired Think-aloud Video taped, software logs Also had post questionnaire Wrote my own code for log analysis Watched video and matched behavior to software logs

19. Example materials

20. Example logs 2303761098721869683|hrichter|1098722080134|MV|START|566 2303761098721869683|hrichter|1098722122205|MV|QUESTION|false|false|false|false|false|false| 2303761098721869683|hrichter|1098724978982|MV|TAB|AGENDA 2303761098721869683|hrichter|1098724981146|MV|TAB|PRESENTATION 2303761098721869683|hrichter|1098724985161|MV|SLIDECHANGE|5 2303761098721869683|hrichter|1098724986904|MV|SEEK|PRESENTATION-A|566|604189|0 2303761098721869683|hrichter|1098724996257|MV|SEEK|PRESENTATION-A|566|604189|604189 2303761098721869683|hrichter|1098724998791|MV|SEEK|PRESENTATION-A|566|604189|604189 2303761098721869683|hrichter|1098725002506|MV|TAB|AGENDA 2303761098721869683|hrichter|1098725003848|MV|SEEK|AGENDA|566|149613|604189 2303761098721869683|hrichter|1098725005981|MV|TAB|PRESENTATION 2303761098721869683|hrichter|1098725007133|MV|SLIDECHANGE|3 2303761098721869683|hrichter|1098725009326|MV|SEEK|PRESENTATION|566|315796|149613 2303761098721869683|hrichter|1098725011569|MV|PLAY|566|315796 2303761098721869683|hrichter|1098725039850|MV|TAB|AV 2303761098721869683|hrichter|1098725054241|MV|TAB|PRESENTATION 2303761098721869683|hrichter|1098725056053|MV|SLIDECHANGE|2 2303761098721869683|hrichter|1098725057365|MV|SEEK|PRESENTATION|566|271191|315796 2303761098721869683|hrichter|1098725064986|MV|TAB|AV 2303761098721869683|hrichter|1098725083373|MV|TAB|PRESENTATION 2303761098721869683|hrichter|1098725084534|MV|TAB|AGENDA 2303761098721869683|hrichter|1098725085255|MV|TAB|PRESENTATION 2303761098721869683|hrichter|1098725088690|MV|TAB|AV 2303761098721869683|hrichter|1098725130500|MV|TAB|AGENDA 2303761098721869683|hrichter|1098725139643|MV|TAB|AV 2303761098721869683|hrichter|1098726430039|MV|STOP|566|271191 2303761098721869683|hrichter|1098726432482|MV|END

21. Data analysis Basic data compiled: Time to answer a question (or give up) Number of clicks on each type of item Number of times audio played Length of audio played User’s stated difficulty with task User’s suggestions for improvements More complicated: Overall patterns of behavior in using the interface User strategies for finding information

22. Data representation example

23. Data presentation

24. Some usability conclusions Need fast forward and reverse buttons (minor impact) Audio too slow to load (minor impact) Target labels are confusing, need something different that shows dynamics (medium impact) Need more labeling on timeline (medium impact) Need different place for notes vs. presentations (major impact)

25. Interviews & Questionnaires Subjective view of participants Quantitative – very structured Questionnaires often quantitative, but not entirely Structured Interviews Strict set of questions, deviation would compromise study Qualitative – less or no structure Semi-structured interviews Some deviation encouraged Unstructured interviews i.e. the ethnographic interview Little guide, very explorative

26. Interviews Potentially lots of detail can vary questions as needed Inexpensive Time consuming to perform and analyze Some interpretation required Subject to interviewer biases

27. Questionnaires Expensive to create …but cheap to administer Easier to get quantifiable results Can gather info from many more people Protects participant identity Only as good as the questions asked

28. Structured Interviews More similar to questionnaires Require a lot of training for any hope at inter-interviewer reliability But that means that they tend to give much more repeatable results

29. Unstructured Interviews Have a plan, but keep interview open to different directions Get participant to open up and express themselves in their terms and at own pace Create interpretations with users Be sure to use their terminology Take lots of time, but learn a lot as well

30. Semi-Structured Interviews Predetermine data of interest - know why you are asking questions - don’t waste time Plan for effective question types How do you perform task x? Why do you perform task x? Under what conditions do you perform task x? What do you do before you perform…? What information do you need to…? Whom do you need to communicate with to …? What do you use to…? What happens after you…? See Gordon & Gill, 1992; Graesser, Lang, & Elofson, 1987

31. Asking Questions Understand your goals Consider the ordering of the questions Avoid complex/long/multiple questions Avoid jargon; talk in participant’s language Be careful of stereotypes, biases

32. Clarity is important Questions must be clear, succinct, and unambiguous How much time have you spent reading news on the Web recently?  Some  A lot  Every day  Rarely  Etc.  None  0 to 5 hours  6 to 10 hours  11 to 20 hours  More than 20 hours

33. Avoid question bias Leading questions unnecessarily force certain answers. Do you think parking on campus can be made easier? What is your overall impression of… 1.Superb 2.Excellent 3.Great 4.Not so Great

34. Be aware of connotations Do you agree with the NFL owner’s decision to oppose the referee’s pay request? Do you agree with the NFL owner’s decision in regards to the referee’s pay demand? Do you agree with the NFL owner’s decision in regards to the referee’s suggested pay?

35. Leading questions People want to do well, give you what you are looking for Be aware of your own expectations before creating questions and while interviewing Use value neutral terms What do you like about this system? Vs. Tell me what you thought about this system.

36. Avoid hypotheticals Avoid gathering information on uninformed opinions Subjects should not be asked to consider something they’ve never thought about (or know or understand) Would a device aimed to make cooking easier help you?

37. Handle personal info carefully Ask questions subjects would not mind answering honestly. What is your age? What is your waist size? If subjects are uncomfortable, you will lose their trust Ask only what you really need to know

38. What’s wrong with this picture? How much easier is it to use this email client than Outlook? I see you choose to use your keyboard shortcuts more than the mouse. Is that faster for you? Your choice of red is different than any other user we saw. Why did you do that?

39. Planning your interview: Introduction Warmup Main session Cool-off Closing Record everything exactly in your participants’ languages (don’t forget to test your recording equipment)

40. The warmup or “grand tour” question The first question helps set the tone for the interview Familiarize the participant to talking Encourage the participant that their true opinion does matter Question should be Easy to answer But not answered easily More than just a “yes” or “no” response Examples: Tell me about the work you do? What made you buy the computer?

41. Prompts “Nudge” a participant in a direction, or to get additional response Silent: remain silent until they say more Echo: repeat back and then ask “then what happens” etc. Make agreeing sounds: you say “uh huh” and the other person continues Tell Me More: could you tell me more about that? Clarifying: summarize and ask for confirmation or clarification, often leads to new discussion

42. Contents of a survey General/Background info Demographic data Also functions as as a “warm up” Correlate responses between groups Objective questions Open-ended/subjective

43. Background examples Demographic data: Age, gender Task expertise i.e. Have you ever worked in a restaurant? Motivation Frequency of use How often do you… Education/literacy What training have you had in …?

44. Closed Format Advantages Clarify alternatives Easily quantifiable Eliminate useless answer Disadvantages Must cover whole range All should be equally likely Don’t get interesting, “different” reactions Restricting set of choices Quantifiable

45. Many forms of response Dichotomous Multiple Choice Multiple Response Rank/Match Likert Rating

46. Questionnaire Styles LaTeX FrameMaker WordPerfect Word Rank from 1 - Very helpful 2 - Ambivalent 3 - Not helpful 0 - Unused ___ Tutorial ___ On-line help ___ Documentation Which word processing systems do you use?

47. Likert-type scale Typical scale uses 5, 7 or 9 choices Above that is hard to discern Doing an odd number gives the neutral choice in the middle You may not want to give a neutral option Characters on screen were: hard to read easy to read 1 2 3 4 5 6 7

48. What’s wrong with this picture? 2. What is your age? _______________ 3. How long have you used the internet? <1 year 1-3 years 3-5 years >5 years 4. How do you get information about courses? Email Web site Flyers Registration booklet Advisor Other students 5. How useful is the Internet in getting information about courses? ___________________________________________________________

49. On line questionnaires Email or internet Change checkboxes into dropdowns, etc Take advantage of the technology – check input Ensure its as accessible as paper (browser and email client compatibility) Ensure confidentiality – how is this different from paper?

50. Free Web Survey Tools Zoomerang http://www.zoomerang.com Survey Monkey http://www.surveymonkey.com phpESP http://phpesp.sourceforge.net Open Source surveys using PHP.

51. Analyzing your quantitative data “Code” open ended responses or interview questions to make quantitative Categorize all responses Look for trends in the data Count, average, tabulate Make charts, etc Run statistical analysis Use lo-fi methods (post-its, affinity diagrams, etc)

52. Analyzing qualitative data Find interesting cases, responses Look for patterns of responses Use post-its, affinity diagrams, etc. Look for any useful suggestions, improvements, explanations that help you improve your design Gather illustrative quotes from users that demonstrate your conclusions

53. Evaluation discussion Someone else should be able to pick up your plan and execute it. Be as SPECIFIC as possible What criteria are important? What tasks EXACTLY? What data? How will you record? What questions will you ask?