* CS8607 Research Methods Lecture 1

 Research


What is research?
Collect evidence, verify who collected the evidence and that they have valid methods and expertise in the area. Evidence-based case should be refutable or falsifiable. Then an hypothesis is formed. 

Research: Is the collecting and analyzing of various kinds of data and information to gain more knowledge and have a better understanding about a topic. These results should be clear and convincing and have the ability to be repeated. 

Four Key Elements: Systematic Contributing of Knowledge
1. Knowledge
    - Higher level of understanding than just data
    - Connected to other concepts
    
2. Contribution
    - Extend our individual knowledge and eventually share new ideas, theories and results

3. Originality
    -
4. Systematic

Research Process:

1. Identify the problem
     - Is it researchable? Not all problems are. Where do problems come from? Known Flaws, during the         design process you might run into some problems

2. Reviewing Literature
    -what have other people done already that forms your opinion. Use literature to help solve your problem
    -explore results and methods
    -focuses investigation
    -limit wasting your time but gathering information that someone else already took the time to figure out
    - gives you tools for analyzing the data
    -check for Validity, Synthesis and Relevance of the literature before using it 

3. Setting Research Questions, Objectives or Hypotheses
    - Questions: need to be clear, specific, Synthesizes evidence, testable and repeatable
    - Null Hypothesis (H0): no difference and look for the data that proves there is a difference
    - Testable Hypothesis (H1): 

4. Choosing the Study Design
    - Quantitative, Qualitative or mixed
    - Quantitative Research: correlational and survey (or descriptive)
        - count things to describe the 11:00am
    -Quantitative: Hypotheses, numerical data, consensus, norms, generalizability, values objectivity
    - Qualitative: Research questions, words as data, local meaning, patterns, divergence & difference, and     values subjectivity
    - Quantitative: 

5. Deciding on the sample design
    -Sampling is a subset of the users (10% of the 100%)
            - can be more narrow 10% of the left handed male UK based users - If that helps address your                     research question
    -Probabilistic: examples- Random sampling, Stratified sampling and cluster sampling
    -
6.

7.


Questions:
Do you weight different inputs and feedback from users? 

Comments

Post a Comment

Popular posts from this blog

Slow Computing, Digital Civics and Portfolio Project

 Slow Computing & Digital Civics Slow Computing: - Cultural shift towards slowing down life's pace - Computing is deeply imbedded in our lives - Slow computing VS Calm technology     - calm tech promotes moments of reflection and mental rest. The info is presented passively and it's usually in our poriferas.  - Some Design: meditative bodily introspection -Fast Technology: well-defined task, efficient, easy to use Reflection: Most companies are focus on quick profits, fast technology. Slow technology cares more about the users mental wellbeing. As UX designers we need to design for slowness, solitude and mental rest. How do we change the functionalities and design to help the users not get overwhelmed? We could avoid numbers based goals and information. We should reward users for taking their time and  "Living Technology Lives", people are always on their phones and rely on it heavily. It has become an assumption that everyone has a smartphone and is online 24/7.
Read more

* CS806 Research Methods Lecture 2

 Qualitative Research Data Collection Qualitative -Research Questions -Words as data -Local meaning, patterns divergence & difference -Values subjectivity * A good researcher is always systematic Systematic -More than a summary or "averaging" of data -Using recognized methods -Reporting on how methods used and findings derived -So you can make claims from your data -Could another qualitative researcher follow your work? Could they appreciate where your findings come from?     -need to have necessary details about participants so someone can replicate it and understand the findings better Where do we use it? -Evaluation studies -Understand User Group and Environment -Analyze the language people use to describe technology Example Qualitative Research Questions: 1. Whats women's experience on dating sites? 2. How do patients perceive doctors in a hospital setting? 3. What are non-experts ideas and opinions about climate change? Terminology Ontology :  Relates to reality
Read more

Reflecting on the Hierarchical Task Analysis

Image
Hierarchical Task Analysis   Pros and Cons      My team and I chose to use Mural to show the HTA of using the self-service machine in the library. The first problem was knowing where the task started. Should we include "Get a book from the library" or is that too obvious. But what if they expected to check to see if the book is available and checking it out was something done before hand? But most libraries would have you get the book prior so we went with finding a machine for the first step. We tried keeping all the instructions concise to try and prevent them from feeling overwhelmed. We used lines to help direct the viewers attention to the corresponding steps and subcategories. The subcategories that we put below were the options they would see on the screen. We didn't include any plans for if something went awry to avoid confusion.  Our team also made a HTA for how to make tea. It seemed simple enough but once I started talking with my team I realized we all have d
Read more