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Methodology and ExplanationXX50125
Lecture 1: Part I. Introduction to Evaluation Methods
Part 2. Experiments
Dr. Danaë Stanton Fraser
Methodology and Explanation 2007
Goals of this unit
• To introduce research methods in human computer interaction
• To explore qualitative and quantative methods• To gain experience in putting these methods into
practice• To gain a critical understanding of analytic
techniques
Methodology and Explanation 2007
Unit structure
Lectures each focusing on methods of analysis
Practical sessions putting these methods into practice
Methodology and Explanation 2007
Course text and slides
Rogers, Y., Sharp, H., and Preece, J. 2007. Interaction Design: Beyond Human Computer Interaction. Wiley.
Slides available online at:http://staff.bath.ac.uk/pssds/M&E.html
Methodology and Explanation 2007
Assessment
2 assessed courseworks:
1st coursework (report)
2nd coursework (report and presentation)
Methodology and Explanation 2007
Evaluation Methods
• Controlled experiments • Ethnography• Expert review• Usability testing• Surveys/questionnaires• Data logging• Interviews and focus groups
Methodology and Explanation 2007
Not just desktop computing.
What other kinds of technologies are we
evaluating?
Methodology and Explanation 2007
Direct manipulation & graphical user interfaces
Methodology and Explanation 2007
Collaborative Desktop
Methodology and Explanation 2007
Immersive technologies
Methodology and Explanation 2007
Tangible interfaces
Methodology and Explanation 2007
Wearable, handheld and mobile devices
Methodology and Explanation 2007
Embedded interfaces
Methodology and Explanation 2007
Evaluate: which method to choose• Design or implementation?• Laboratory or field studies?• Subjective or objective?• Qualitative or quantitative?• Information provided?• Immediacy of response?• Intrusiveness?• Resources?
Methodology and Explanation 2007
Part II
Experiments: A brief guide
Methodology and Explanation 2007
Aim
• To answer a question or test an hypothesis that predicts a relationship between two or more events, known as variables.
• E.g. Will spatial knowledge be superior following exploration of a VR simulation of a building or from exploring a model of a building?
Methodology and Explanation 2007
Variables
• Such hypotheses are tested by manipulating one or more of the variables.
• The variable that is manipulated is called the independent variable (the conditions to test this variable are setup independently before the experiment starts). In the study mentioned media type (VR vs model) is the independent measure
• The dependent variable would be accuracy of spatial information (ie time to reach point a from point b) because the hypothesis is that the time to carry out the task depends on the media explored.
Methodology and Explanation 2007
Variables and Conditions
• In order to test an hypothesis the experimenter sets up the experimental conditions e.g.
• Condition 1 Pretest Explore model Post test• Condition 2 Pretest Explore VR Post test
• Control condition – against which to compare the results?
Methodology and Explanation 2007
Participants
• Between participantsTwo drawbacks – no. of participants needed, individual
differences
Advantage – no order effects
• Within participantsCounterbalancing required
• Matched pairs on characteristics such as gender and expertiseDifficult to match across all variables
Methodology and Explanation 2007
Practicalities
• Where will the experiment be carried out?• How will the equipment be set-up?• How does one introduce participants to study?• What scripts are need to standardise the procedure?• Always include pilot study
Methodology and Explanation 2007
Data Collection and Analysis
• Data – performance measures are taken e.g. response times, no. of errors
• Use graphs• The data should be averaged across conditions to
examine any differences• Statistical tests such as t-tests and ANOVAs can
reveal whether the differences are significant• Software packages such as SPSS are often used• If there is no significant difference then the
hypothesis is refuted.
Methodology and Explanation 2007
Data captured
• Record quantitative results
• However also gather process data e.g. dialogue turns, gesture and non verbal behaviour
Methodology and Explanation 2007
Preparation for Practical 1Topic: Examining the use of gestures in collaboration.
In preparation for the practical please read:
1. Kraut, R. E., Fussell, S. R., and Siegel, J. (2003). Visual Information as a Conversational Resource in Collaborative Physical Tasks. Human-Computer Interaction,Vol. 18, pp. 13–49 Lawrence Erlbaum Associates, Inc.
http://www.columbia.edu/itc/psychology/rmk/Readings/Kraut.pdf
2. Kirk, D. and Stanton Fraser, D. (2005). The Effects of Remote Gesturing on Distance Instruction. Computer Supported Collaborative Learning (CSCL 2005). Taiwan. May.