Lecture � MIT MAS741 context-aware

Greg Detre

10:30 Wednesday, September 18, 2002

 

guy who could use cellphones to tell where you are:

skits � tell within 100 yards where a person is � what�s the value?

medical? tell heartbeat from voice

 

computer-supported collaborative meeting tools don�t work

video conferencing is distracting, slow, worse than telephone

 

meetings

Berkley � got people to take notes with palms, but nobody looked at them

Georgia tech was more successful

his idea is Mr Web, which creates a web page and nags them about things said/written down in the meeting

Colab � xerox parc, each person gets big computer, shared screen

Stanford had an ICQ-chat-like immediate keypress sharing, which worked much better than when there was a � second delay � that added a social distance, where somebody would wander off and not do what they said they would

there�s been some work on synthesising/summarising meetings

 

but the technology isn�t there � this is my nagging worry

it�s not about holy grail technology, it�s about what you can do at any stage

he�s looking for scenarios that are robust within broken technology

e.g. eye tracker, which doesn�t work so none of the interfaces, theirs is so much more robust using just gazes

 

I didn�t like the door

does the door improve the social relationship?

he�s extremely busy, and needed a vestibule

is that relevant to other people? probably, and not all of them have secretaries

can techn be useful in mediating between people?

what if people can�t stand talking to a computer?

would the door be better without a model, i.e. just with a script that flashes up on the office-occupant�s screen?

 

let�s say that it gets 95%

you learn to trust it, and it continually misses things (e.g. humans stop being alert because they rely on the nuclear power station checks) � are you better off without it? kayla pointed out that that tech-assisted 95% is better than the 70% you�d have actualy got on your own

good HCI is taking the tool out of the task

but, we buy things for reasons of style

goals of CA computing � discovering + creating scenarios that use the min sensors and max modelling to make as robust, believable interactions as poss, where expectations of the human are not broken

his biggest criticism of criticism:

that I didn�t look at the questions (I didn�t get them) and that it was a kneejerk attack

 

considers what other metrics would be good in a LAFCam

steadiness in the steadicam

annotate buttons don�t get used

voice pitch

 

experimental design � use any trick in the book

feel it

wizard of oz � someone pretends to be the computer

storytelling

roleplaying

list

detailed scenarios, listing possibilities

mockups � doesn�t actually work

prototypes

rigorous experiments

control + test

simplest first, figure out the important questions

dry-run quick questions

focus groups (problematic, group forces)

questionnaires (people often don�t know/say what they really feel)

quality metric

 

didn�t use a double-silvered mirror and expensive facility run by a professional because he would rather have a developer

important belief in experimentation + evaluation side-by-side

 

product guys want someone they can buy the prototype from � research people didn�t understand why the product people wouldn�t buy it

 

talked about the OHP with a clear screen

just took the back off it, didn�t work initially, turned off the lights, dropped chalk dust on the back to show that it didn�t need a clean production area, withstood being dropped, sent it out to a 3rd party display manufacturer, became the highest profit margin notebook ibm ever sold

 

COACH video

cognitive adaptive computer help

designed for writing LISP

user advised not by a manual or other person, but by an adaptive on-screen mechanism

either the user or computer can initiate help, adaptive user model and records history of interactions

advisory help doesn�t intrude, but is directed

context-dependent help helps novices avoid startup problems

lisp course usability study

found to improve perceived and actual usability, as compared with the same window system

they felt more comfortable with lisp, and did not experience de-motivation with the tutorial system