CS 160 Lecture 4 Professor John Canny Fall
- Slides: 57
CS 160: Lecture 4 Professor John Canny Fall 2004 9/25/2020 1
Administrivia 4 Team numbers will be posted today. 4 The lab time (330 Soda) today and tomorrow at 4 pm is available for you to select your project topic. 4 You should finalize your project topic asap (by tomorrow) so you have at least a week to complete the assignment. 9/25/2020 2
Selecting Users for a new product 4 What community are you designing for? A community is more than a set of individuals. * Rituals, places, shared values, background. . . 4 What things do they value? Speed? Features? Convenience? Affordability? . . . 4 What are your assumptions about them? * Make periodic “honesty checks” 4 Seek out representative members 9/25/2020 3
Selecting Tasks for Contextual Inquiry 4 Real tasks users have faced * collect any necessary materials 4 Should provide reasonable coverage * compare check list of functions to tasks 4 Mixture of simple & complex tasks * easy task (common or introductory) * moderate task * difficult task (infrequent or for power users) 9/25/2020 4
What Should Tasks Look Like? 4 Say what the user wants to do, but not how the user would do it * allows comparing different design alternatives 4 They should be very specific * forces us to fill out description + relevant details * say who the users are (use personas or profiles) + design can really differ depending on who + require explicit names/data values + characteristics of the users 4 Some should describe a complete job * forces us to consider how features work together 9/25/2020 5
Using Tasks in Design 4 Write up a description of tasks * formally or informally * run by users and rest of the design team * get more information where needed Manny is in the city at a club and would like to call his girlfriend, Sherry, to see when she will be arriving a the club. She called from a friends house while he was on BART, so he couldn’t answer the phone. He would like to check his missed calls and find the number so that he can call her back. 9/25/2020 6
Using Tasks in Design (contd) 4 Rough out an interface design * discard features that don’t support your tasks + or add a real task that exercises that feature * major screens & functions (not too detailed) * hand sketched 4 Produce scenarios for each task * what user has to do & what they would see * step-by-step performance of task 9/25/2020 7
Scenarios (cont. ) 4 Scenarios are design specific, tasks aren’t 4 Scenarios force us to * show various features will work together * settle design arguments by seeing examples 4 Show users storyboards * sequences of sketches showing screens * actions users can take 9/25/2020 8
Involve Users to Answer Task Analysis Questions 4 Users help designers learn * what is involved in their jobs * what tools they use * i. e. , what they do 4 Developers reveal technical capabilities * builds rapport & an idea of what is possible * user’s can comment on whether ideas make sense 4 How do we do this? * observe & interview prospective users in work place! 9/25/2020 9
Task Analysis 4 Find out * who the intended customers are * what tasks they need to perform 4 Observe existing work practices 4 Create scenarios of actual use 4 Try-out new ideas before building software 9/25/2020 10
Why Task Analysis? 4 System will fail if it * does not do what the customer needs * is inappropriate to the customer + “the system must match the customers’ tasks” 4 Why not define “good” interfaces? * infinite variety of tasks & customers * guidelines are usually too vague + e. g. , “give adequate feedback” 9/25/2020 11
Example of Design Failure 4 BART “Charge-a-Ticket” Machines * allow riders to buy BART tickets or add fare * takes ATM cards, credit cards, & cash 9/25/2020 12
9/25/2020 13
9/25/2020 14
Example of Design Failure 4 BART “Charge-a-Ticket” Machines * allow riders to buy BART tickets or add fare * takes ATM cards, credit cards, & cash 4 Problems * one “path” of operation + ticket type -> payment -> ticket * BART Plus has minimum of $28, no indication of this until after inserting >= $1 + can’t switch to regular BART ticket * order of payment / card insertion non-standard * large dismiss transaction button does nothing 9/25/2020 15
Lessons from the BART machine 4 Failure to create convenient machine 4 Did the designers understand/care * range of customers using the machine * what tasks they would want to carry out * some would find the behavior of the machine disconcerting 4 How can we avoid similar results? * “What is required to perform the customer’s task? ” 9/25/2020 16
The Task Analysis Questions 1. 2. 3. 4. 5. 6. Who is going to use system? What tasks do they now perform? What tasks are desired? How are the tasks learned? Where are the tasks performed? What’s the relationship between user & data? 9/25/2020 17
Questions (cont. ) 7. 8. 9. 10. 11. What other tools does the customer have? How do customers communicate with each other? How often are the tasks performed? What are the time constraints on the tasks? What happens when things go wrong? 9/25/2020 18
1. Who? 4 Identity? * in-house or specific customer is easy * need several typical customers for broad product 4 Values 4 Likes/dislikes 4 Personal characteristics: * Education * Literacy * Physical abilities/disabilities * Age 9/25/2020 19
Who (BART)? 4 Identity? * people who ride BART + business people, students, disabled, elderly, etc. 4 Values * Broad group, generally want minimum fuss, are frugal, maybe environmentalists. 4 Likes/dislikes * Most people hate having their money eaten * Like saving money * Nervous about safety/privacy when using machines 9/25/2020 20
Who (BART cont. )? 4 Personal characteristics * * Mostly educated, fluent in English Most know how to use ATM/credit card machines Most know how to buy BART tickets Varying heights -> don’t make it too high or too low! * Mixture of ages, a few disabled users (e. g. wheelchairs). * Some bike users (make interface one-handed? ) 9/25/2020 21
Talk to Them 4 Find some real customers 4 Talk to them * find out what they do * how would your system fit in 4 Are they too busy? * buy their time + t-shirts, coffee mugs, etc. 9/25/2020 22
2&3 What Tasks? 4 Important for both automation & new functionality 4 Relative importance of tasks? 4 Observe customers 4 On-line billing example * * small dentists office had billing system automated assistants were unhappy with new system old forms contained hand-written margin notes e. g. , patient A’s insurance takes longer than most, etc. 9/25/2020 23
What Tasks (BART)? 4 Old tasks? * cash to buy new ticket * cash to add fare to existing ticket * cash or credit to buy a BART Plus at window 4 New tasks? * cash, credit, or ATM card to + buy new ticket + add fare to existing ticket + buy a BART Plus ticket 4 Level of detail can vary 9/25/2020 24
4. How are Tasks Learned? 4 What does the customer need to know? 4 Do they need training? * book/manual information * general knowledge / skills * special instruction / training 9/25/2020 25
How are Tasks Learned (BART)? 4 Walk up & use system * can’t assume much background/training 4 Training? * too time consuming 4 Must be simple & similar to existing systems * BART machines * ATM machines 9/25/2020 26
5. Where is the Task Performed? 4 Office, laboratory, point of sale, home? 4 Effects of environment on customers? * Lighting, sound, comfort, interruptions, water 4 Social influence of environment * Rituals, sacred places 4 Effects of other people (bystanders)? * Mere presence, safety, privacy 4 Customers under stress? 9/25/2020 27
Where (BART)? Train Station 4 Loud * dependence on voice I/O not a good idea 4 Not private * PIN input must be confidential + don’t confirm with sound 4 Lighting is dim * make sure messages are readable 4 Rituals: * Panhandlers, musicians, reading the paper, cell phones 9/25/2020 28
6. What is the Relationship Between Customers & Data? 4 Personal data * always accessed at same machine? * do customers move between machines? 4 Common data * used concurrently? * passed sequentially between customers? 4 Remote access required? 4 Access to data restricted? 9/25/2020 29
Data Relationships (BART) 4 Personal data * customers may use any machine * store info on BART card 4 Common data * fare rules (e. g. , how much for BART Plus) * used concurrently 4 Access to data restricted? * only you can use your ATM or credit card 4 No need for remote access 9/25/2020 30
7. What Other Tools Does the Customer Have? 4 More than just compatibility 4 How customer works with collection of tools * example: automating lab data collection + how is data collected now? + by what instruments and manual procedures? + how is the information analyzed? + are the results transcribed for records or publication? + what media/forms are used and how are they handled? 9/25/2020 31
Other Tools (BART) 4 Credit card, ATM card (today) 4 E-wallet in cell phone or organizer (someday) 4 Customer has PC, provide auditing for them? 9/25/2020 32
8. How do Customers Communicate With Each Other? 4 Who communicates with whom? 4 About what? 4 Follow lines of the organization? Against it? 4 Example: assistant to manager * installation of computers changes communication between them * people would rather change their computer usage than their relationship [Hersh 82] 9/25/2020 33
9. How Often do Users Perform the Tasks? 4 Frequent customers remember more details 4 Infrequent customers may need more help * even for simple operations 4 Which function is performed * most frequently? * by which customers? * optimize system for these tasks will improve perception of good performance 9/25/2020 34
How Often (BART)? 4 Varying frequency of customers * some take BART every day (most) * some take it only occasionally 4 Varying frequency of tasks * can only do BART Plus every 2 weeks + not frequent -> more instructions * might do add fare or buy new ticket every day + probably more common 4 How to find out for sure? * observe customers! 9/25/2020 35
10. What are the Time Constraints on the Task? 4 What functions will customers be in a hurry for? 4 Which can wait? 4 Is there a timing relationship between tasks? 9/25/2020 36
Time Constraints (BART)? 4 Customers will almost always be in a hurry 4 Lines form 4 Take less than 1 minute/transaction 4 Be able to do any task in any order 9/25/2020 37
11. What Happens When Things Go Wrong? 4 How do people deal with * task-related errors? * practical difficulties? * catastrophes? 4 Is there a backup strategy? 9/25/2020 38
Things Go Wrong (BART)? 4 Confusion on task * “dismiss transaction” button (that works!) 4 Practical difficulty * generated ticket with too much money * cash-in policy? 4 Catastrophe * machine eats card -> swipe instead of insert 4 Backup strategy * use cash in regular machines (use ATM) 9/25/2020 39
Selecting Tasks 4 Real tasks customers have faced * collect any necessary materials 4 Should provide reasonable coverage * compare check list of functions to tasks 4 Mixture of simple & complex tasks * easy task (common or introductory) * moderate task * difficult task (infrequent or for power users) 9/25/2020 40
A Better Subway Machine: Hong Kong 9/25/2020 41
Break 4 Team numbers will be posted today. 4 The lab time (330 Soda) today and tomorrow at 4 pm is available for you to select your project topic. 4 Try to attend at these times: * Groups 1 -6 Monday at 4 pm * Groups 7 -11 Tuesday at 4 pm 9/25/2020 42
Contextual Inquiry 4 Way of understanding users’ needs and work practices 4 Design happens in teams * design team: programmer, marketing, quality assurance, producer, more. . * user teams: the customers are also part of a team that does something 9/25/2020 43
Master-Apprentice model 4 Master – Apprentice model allows customer to teach us what they do! * Master does the work & talks about it while working * We interrupt to ask questions as they go * Each step reminds the user of the next 9/25/2020 44
Master-Apprentice model 4 Master – Apprentice model allows customer to teach us what they do! * Skill knowledge is usually tacit (cant put it in books) * Studying many tasks, the designer can abstract away * Sometimes literal apprenticeship is best: (Matsushita “Home Bakery”)! 9/25/2020 45
Principles: Context 4 Go to workplace & see the work as it unfolds 4 People summarize, but we want details 4 Keep it concrete when people start to abstract * “We usually get reports by email”, ask “Can I see one? ” 4 Look for skipped steps, ask user to fill them in. 9/25/2020 46
Principles: Partnership 4 Stick with master-apprentice relationship; avoid lapsing into other models, i. e. * Avoid interviewer/interviewee (stops work), expert/novice (set expectations at the start) * Partnership allows more apprentice interaction: its OK to be a designer and interrupt! * … but go back “in role”: * Alternate between watching & probing (withdrawal & return) 9/25/2020 47
Principles: interpretation 4 Good facts are only the starting point * designs based on interpretations 4 Validate & rephrase * run interpretations by user to see if you are right * share ideas to check your reasoning (walk the chain back) * people will be uncomfortable until the phrasing is right * need to be committed to hearing what the customer is really saying 9/25/2020 48
Principles: Focus 4 Interviewer needs data about specific kind of work * “steer” conversation to stay on useful topics 4 Respect triggers (flags to change focus – changing understanding) * shift attention (some one walks in) * surprises (you know it is “wrong”) * treat every utterance by the customer as a potential clue to something important 9/25/2020 49
Users: Unique or One of Many? 4 “. . nothing any person does is done for no reason; if you think it’s for no reason, you don’t yet understand the point of view from which it makes sense. ” 4 “Take the attitude that nothing any person does is unique to them, it always represents an important class of customers whose needs will not be met if you don’t figure out what’s going on. ” 9/25/2020 50
Thoughts on Interviews 4 Structure * conventional interview (15 minutes) + introduce focus & deal with ethical issues + get used to each other by collecting standard user profile information * transition (30 seconds) + state new rules – they work while you watch & interrupt * contextual interview (1 -2 hours) + take notes, draw, be nosy! (“who was on the phone? ”) * wrap-up (15 minutes) + summarize your notes & confirm what is important 9/25/2020 51
Thoughts on Interviews 4 Use recording technologies * notebooks, tape recorders, still & video cameras 4 Master/apprentice can be hard * Staying in role * Not designing * Sometimes you need to put down your product (to agree with the subject) 9/25/2020 52
What Users Might Say 4 “This system is too difficult” 4 “You don’t have the steps in the order we do them” 4 Do not take comments personally * you shouldn’t have a personal stake 4 Goal is to make the system easy to use for your intended users 9/25/2020 53
Caveats of User-Centered Design Techniques 4 Users are not always right * cannot anticipate new technology accurately * your job is to build system users will want + not system users say they want + be very careful about this (you are outsider) ~ if you can’t get users interested in your hot idea, you’re probably missing something 9/25/2020 54
Caveats of User-Centered Design Techniques 4 Politics * “agents of change” can cause controversy * get a sense of the organization & bond w/ interviewee * important to get buy-in from all those involved 4 Design forever without prototyping * rapid prototyping, evaluation, & iteration is key 9/25/2020 55
Summary 4 Think about the user community first * Who they are, what their lifestyles are, what you’re assumptions about them are. 4 Selecting tasks * real tasks with reasonable functionality coverage * complete, specific tasks of what user wants to do 4 Contextual inquiry * way to answer the task analysis questions * interview & observe real users * use the master-apprentice model to get them to teach you 9/25/2020 56
Administrivia 4 Meet your partners today or tomorrow in lab 4 Discuss your project topic and user group 4 Come to Wednesday with a topic * Note, you should still have a clear statement of a problem that drives your design, and a willingness to change that design. 9/25/2020 57
- Qual tipo de filtro é o de canny?
- What is canny edge detection in image processing
- Filtre de canny python
- Canny
- Joe canny
- Canny
- Canny
- Canny sebastian
- Canny mask
- Promotion from assistant to associate professor
- A college professor never finishes his lecture
- Professor green lecture 1
- 01:640:244 lecture notes - lecture 15: plat, idah, farad
- Professor john forsythe
- Professor john forsythe
- Professor john wood
- Self directed search
- Professor john hattie
- Professor john hughes
- Professor john stanley
- 90'ın %40 eksiği kaçtır
- Smt 160
- Dbhds incident reporting
- Wac 296-800-160
- Anticorps anti-nucléaire positif moucheté
- Konica minolta bizhub 160
- Parafrasi il canto delle sirene dal verso 160
- Data domain 640
- 40 cfr part 160
- Carolina windom radiation pattern
- 160 5th ave new york ny 10010
- A girl 160 cm tall stands 360 cm from a lamp post at night
- Un numero excede en seis a otro y el doble del mayor
- 6280/160
- Capr 160-1
- √160 sederhanakan
- Psalm 119:160
- 160/60
- 700 round off
- Cbe 160
- Objectifs tensionnels
- Edu mölndal
- Art 160 cod fiscal
- 160/60
- I am 160 cm tall
- 160/60
- Vertical
- 955 rounded to the nearest ten
- 160/60
- Kesalahan mutlak pengukuran tinggi badan
- Metric system ladder
- Rd n° 160-2015/digesa/sa
- 512 x 160
- Rtca do 160 section 22
- 160 euros
- Ecomagination
- Spinal cord
- 160 ke