Principles of Human-Computer Interaction Crowd-Powered Systems Alexander J. Quinn April 28, 2015.

Slides:



Advertisements
Similar presentations
BARRY DAUPHIN, PH.D. HAROLD GREENE, PH.D. MINDEE JUVE, M.A. Cognitive Mediation and Information Processing on the Rorschach.
Advertisements

User Interfaces 4 BTECH: IT WIKI PAGE:
1 ONR Principle Investigators: Dr. Joe DiVita, Code Dr Glenn Osga, Code Dr.
IBM 1350 Cluster Expansion Doug Johnson Senior Systems Developer.
G063 - The Model Human Processor. Learning Objective: describe the user interface designers tool known as the ‘Model Human Processor', describe how the.
Linux Clustering A way to supercomputing. What is Cluster? A group of individual computers bundled together using hardware and software in order to make.
ASKAP Central Processor: Design and Implementation Calibration and Imaging Workshop 2014 ASTRONOMY AND SPACE SCIENCE Ben Humphreys | ASKAP Software and.
Human Information Processing Memory, Chunking & Phrasing, Modes
Human Computer Interaction
Task Analysis (continued). Task analysis Observations can be done at different levels of detail fine level (primitives, e.g. therbligs, keystrokes,GOMS.
Instructor: Vincent Duffy, Ph.D. Associate Professor of IE Lecture 8 – Human-Computer Interaction Thurs. Feb. 8, 2007 IE 486 Work Analysis & Design II.
Fitts’ Law and the Model Human Processor
What is usability? Usability (1): effective, efficient and satisfactory Usability (2): Ease of learning (faster the second time and so on) Recall (remember.
Semester wrap-up …the final slides.. The Final  December 13, 3:30-4:45 pm  Closed book, one page of notes  Cumulative  Similar format and length to.
User Psychology ITKP103 Human Being and Information System Sacha Helfenstein Lectures ,
Lecture 2a: Foundations of human-computer interaction CSCI102 - Introduction to Information Technology B ITCS905 - Fundamentals of Information Technology.
1 CMT 3210: Understanding the human element in HCI Lecture 4 Models of human-Computer Interaction Mental Models Elke Duncker.
Chapter 4 Cognitive Engineering HCI: Designing Effective Organizational Information Systems Dov Te’eni Jane M. Carey.
CPP Staff - 30 CPP Staff - 30 FCIPT Staff - 35 IPR Staff IPR Staff ITER-India Staff ITER-India Staff Research Areas: 1.Studies.
Psychology of HCI Brian P. Bailey Fall 2004.
Computer Design Corby Milliron. Mother Board specs Model: Processor Socket Intel Processor Interface LGA1150 Form Factor ATX Processors Supported 4th.
1 440 Midterm Review Midterm in-class Tuesday, Nov 6.
How Computers Work. A computer is a machine f or the storage and processing of information. Computers consist of hardware (what you can touch) and software.
Chapter 3 – Human Information Processing
Basic Computer Structure and Knowledge Project Work.
Interacting with Visualization Colin Ware, Information Visualization, Chapter 10, page 335.
Lecture 6 User Interface Design
◦ Goals, Tasks, and Actions  Task Characteristics: The Nature of the Work  Task Sequences: There May Be More Than One Way to Do a Task  Goal: the end.
Human Information Processor Model (Card, Moran & Newell, 1983)
User Modeling 1 Predicting thoughts and actions. Agenda Cognitive models Physical models Fall 2006PSYCH / CS
Interactive Exploration of Large Remote Micro-CT Scans Prohaska, Hutanu, Kähler, Hege (Zuse Institut Berlin)
Hardware Trends. Contents Memory Hard Disks Processors Network Accessories Future.
Sandor Acs 05/07/
Shaping User Experience Electronic Resources and Libraries 2012 Tara Carlisle, University of North Texas Libraries Kate Crane, Texas Tech University Ana.
Human-Computer Interaction
Queuing Network Modeling of Transcription Typing.
Information Processing Systems A Cognitive Learning Model.
Price Performance Metrics CS3353. CPU Price Performance Ratio Given – Average of 6 clock cycles per instruction – Clock rating for the cpu – Number of.
Theories and Practice of Interactive Media 13 October 2003 Kathy E. Gill.
6.813/6.831 User Interface Design and Implementation
Gravitational N-body Simulation Major Design Goals -Efficiency -Versatility (ability to use different numerical methods) -Scalability Lesser Design Goals.
Cognitive Views of Learning
TRAINING PACKAGE The User Action Framework Reliability Study July 1999.
UTA Site Report Jae Yu UTA Site Report 7 th DOSAR Workshop Louisiana State University Apr. 2 – 3, 2009 Jae Yu Univ. of Texas, Arlington.
HP Proliant Server  Intel Xeon E3-1220v3 (3.1GHz / 4-core / 8MB / 80W).  HP 4GB Dual Rank x8 PC E (DDR3-1600) Unbuffered Memory Kit.  HP Ethernet.
Unit 2 Assignment 2 M2 RECOMMENDED PC. ZOOSTORM Processor – Intel Core i Operating system – Windows 8 Memory – 8GB RAM Hard Drive – 1TB.
Designing for all Making your VLE accessible. Universal Design for Learning “Universal Design for Learning is a set of principles for curriculum development.
INTRODUCTION TO HUMAN COMPUTER INTERACTION
Computer Basics. What a computer does INPUT  Computer INPUT is whatever is typed, submitted or transmitted to a computer system. It can be supplied.
Personal Computer (PC)  Computer advertisement specification Intel® Pentium 4 Processor at 3.06GHz with 512K cache 512MB DDR SDRAM 200GB ATA-100 Hard.
Midterm in-class Tuesday, Nov 6
Human Computer Interaction (HCI)
40% More Performance per Server 40% Lower HW costs and maintenance
Computer Hardware Flash Card Review
Usability ECE 695 Alexander J. Quinn 3/21/2016.
Human-Computer Interaction Introduction to HCI
,Dell PowerEdge 13 gen servers rental.
HCI in the curriculum The human The computer The interaction
المحور 3 : العمليات الأساسية والمفاهيم
Creation of an interactive system
Human-Computer Interaction
15. Human-Computer Interaction
SAP HANA Cost-optimized Hardware for Non-Production
SAP HANA Cost-optimized Hardware for Non-Production
Human Information Processor
Take out a piece of paper
Model based design keystroke level model
15. Human-Computer Interaction
Carlos Solans TileCal Valencia meeting 27/07/2007
Retail File September 2019 LENOVO ThinkSystem ST50 Server
Presentation transcript:

Principles of Human-Computer Interaction Crowd-Powered Systems Alexander J. Quinn April 28, 2015

hci.ecn.purdue.edu Dual Xeon E5-2680v3 CPUs 24 cores / GHz 128 GB RAM 2133 million transfers/second 8 TB storage Near-line storage, RAID6 w/ 4 x 2TB Dual power supplies 450W, hot-swappable

“Performance”  requests per second  uptime  average response time  peak response time  network throughput  mean time between failures  …

“Performance”

Gulf of execution (Don Norman, 1986)

Direct manipulation Represent objects by physical appearance Effective conceptual model Represent actions by effects on screen Rapid feedback and reversability Engagement Feel that you are working on the data/task

Usability  Learnability  eFficiency  Memorability  Errors  Satisfaction (Jakob Nielson, 1994)

Performance ParameterMeanRange Eye movement time230 ms ms Decay half-life of visual image storage200 ms ms Visual Capacity17 letters7-17 letters Decay half-life of auditory storage1500 ms ms Auditory Capacity5 letters letters Perceptual processor cycle time100 ms ms Cognitive processor cycle time70 ms ms Motor processor cycle time70 ms ms Effective working memory capacity7 chunks5-9 chunks Pure working memory capacity3 chunks chunks Decay half-life of working memory7 sec5-226 sec Decay half-life of 1 chunk working memory73 sec sec Decay half-life of 3 chunks working memory7 sec5-34 sec

Human Information Processor (Card, Moran, Newell, 1986)

Gestalt grouping principles