PPT-Heuristic Evaluation

Author : alexa-scheidler | Published Date : 2017-05-02

May 4 2016 Outline Heuristic Evaluation Overview The Heuristics Exercise May 4 2016 CS377E Designing Solutions to Global Grand Challenges 2 Evaluation About figuring

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May 4 2016 Outline Heuristic Evaluation Overview The Heuristics Exercise May 4 2016 CS377E Designing Solutions to Global Grand Challenges 2 Evaluation About figuring out how to improve design. Heuristic - a “rule of thumb” used to help guide search. often, something learned experientially and recalled when needed. Heuristic Function - function applied to a state in a search space to indicate a likelihood of success if that state is selected. Feedback: Tutorial 1. Describing a state.. Entire state space vs. incremental development.. Elimination of children.. Closed and the solution path.. Generation of children – effects on search.. Heuristic Search. October 30, . 2014. Autumn 2014. HCI+D: User Interface Design, Prototyping, & Evaluation. 2. Pocket. By Read It Later. Hall of Fame or Shame?. Autumn 2014. HCI+D: User Interface Design, Prototyping, & Evaluation. Objectives. Today. The inspection process. Practice inspection. Heuristic evaluation process. Practice evaluation. Next time. Rationale behind why inspections and heuristic evaluation is so great. Normally would do this in the opposite order, but this way you should be able to better prepare any materials over the weekend. H I . –. F I . P R O T O T Y P E. Introduction. Value Prop, Problem and Solution Overview . Heuristic Evaluation Results. Revised Design. Prototype Implementation Status. Demonstration of Prototype. Heuristic Evaluation 3. CPSC 481: HCI I. Fall 2012. 2. Anthony Tang with acknowledgements to Saul Greenberg and Ehud . Sharlin. Split class…. Pull out a piece of paper, or something to scrawl something onto.. CPSC 481: HCI I. Fall 2014. 1. Anthony Tang with acknowledgements to Saul Greenberg and Ehud . Sharlin. Learning Objectives. By the end of this class, you should be able to:. » understand and describe . Rhea . McCaslin. The GDS Network. Guarded Discrete Stochastic – neural network developed by Johnston and . Adorf. 2. Hubble Space Telescope. Scheduling Problem. PROBLEM: Between 10,000 – 30,000 astronomical observations per year . HCI: User Interface Design, Prototyping, & Evaluation. 2. Hall of Fame or Shame?. Pocket. By Read It Later. Jan. 14-18, 2013. HCI: User Interface Design, Prototyping, & Evaluation. 3. Minimalist reading mode.. CSE 440: User Interface Design, Prototyping, & Evaluation. 2. Hall of Fame or Shame?. Pocket. By Read It Later. 11/1/2012. CSE 440: User Interface Design, Prototyping, & Evaluation. 3. Minimalist reading mode.. CSE 440: User Interface Design, Prototyping, & Evaluation. 2. Hall of Fame or Shame?. Pocket. By Read It Later. 11/1/2012. CSE 440: User Interface Design, Prototyping, & Evaluation. 3. Minimalist reading mode.. Rhea . McCaslin. The GDS Network. Guarded Discrete Stochastic – neural network developed by Johnston and . Adorf. 2. Hubble Space Telescope. Scheduling Problem. PROBLEM: Between 10,000 – 30,000 astronomical observations per year . 10. . Tutorial. 1. Today’s Activity: Heuristic Evaluation. General steps:. Perform an independent assessment of which heuristics a system violates. With a small group of 4, discuss and aggregate your individual results, listed by heuristic. often, something learned experientially and recalled when needed. Heuristic Function - function applied to a state in a search space to indicate a likelihood of success if that state is selected. heuristic search methods are known as “weak methods” because of their generality and because they do not apply a great deal of knowledge .

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