IS214. Needs and Usability Assessment

School of Information Management & Systems, University of California Berkeley


Prof. NANCY VAN HOUSE
vanhouse@sims.berkeley.edu

TuTh 12:30-2:00 PM

202 South Hall
Office Hrs: TBA

ASSIGNMENTS

PROJECTS

RESOURCES

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WEEK BY WEEK

Requirements: Collecting Data from and About Users
Week 2 Ethnographic Methods
Week 3 User and Task Analysis
Week 4 Measurement and Evaluation
Week 4b Interviews and Focus Groups (I)
Week 5a
Interviews and Focus Groups (II)
Week 5b
Qualitative Data Analysis and Presentations
Week 6 Surveys
Week 7a Quantitative Data Analysis and Presentation

Prototype Evaluation
Week 7b Design Guidelines, Heuristics, and Inspection Methods (I)
Week 8 Design Guidelines: Heuristics, and Inspection Methods (II)
Week 9 Usability Testing

Spring Break

Week 10a Updates on Projects
Week 10b Writing Usability Reports

Post-release Evaluation
Week 11 Monitoring, User Satisfaction Surveys, User Feedback
Week 12 Universal Usability
Week 13a Ethics
Week 13b Credibility, Offshore Usability
Week 14 Project Presentations

 

iCoach: A Virtual Career Counsellor

Team: Lin Jiang , Phoebe Liu

Description of the project

Not everyone can articulate his/her ideas well, especially when under pressure, for example, in a job interview. A successful job interview often depends on two key factors, content and presentation. Much of it is what the applicant says, and much of it is how it is being said. People often find it helpful to record their answers and play them back to identify noticeable problems. However, there are two problems in this practice. First, the mechanical process can be cumbersome and time consuming. Secondly, due to the lack of knowledge and expertise in speech quality, people cannot accurately identify the problem areas in their speech.

In order to address the above problems, we are building an interactive multimedia system to assist job seekers improve their speaking skills in a job interview by streamlining the audio/video capturing, editing, audio analysis, and performance report generating processes. Interacting with a virtual agent, user will answer a series of questions and have his/her interaction recorded by a camera. The system then performs audio analysis on the recording and generates a performance report detailing the user’s speaking characteristics, such as volume, speed, pitch variation, pause time, etc. Based on the performance report, user can choose to redo individual questions or the entire session and compare the results. .