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<!DOCTYPE html>
<html lang="en">
<head>
<title>Week 12 HCI and Evaluation. MIDS W209 Information Visualization Slides</title>
<meta charset="utf-8">
<meta name="author" content="John Alexis Guerra Gómez">
<meta name="description" content="Week 12 HCI and Evaluation. MIDS W209 Information Visualization Slides">
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</head>
<body>
<div class="reveal">
<div class="slides">
<section>
<h1 class="title">HCI and Evaluation<br><small>MIDS W209: Information Visualization</small></h1>
<div class="r-stretch"></div>
<div class="tiny"><a href="https://johnguerra.co/" target="_blank"><strong> John Alexis Guerra Gómez</strong></a><span> | john.guerra[at]gmail.com</span><a href="https://twitter.com/duto_guerra"> | @duto_guerra</a><br><a href="https://andyreagan.com/" target="_blank"><strong> Andy Reagan</strong></a><span> | andy[at]andyreagan.com |</span><a href="https://twitter.com/andyreagan">@andyreagan</a><br><a href="https://johnguerra.co/lectures/MIDS_W209_Information_Visualization/12_Evaluation/" target="_blank">https://johnguerra.co/lectures/MIDS_W209_Information_Visualization/12_Evaluation/</a></div>
<div class="logo"><a href="https://datascience.berkeley.edu/"><img class="logo" data-src="../shared_images/UC_Berkeley_wordmark_cal_gold.png" alt="University Of California at Berkeley logo"></a></div>
<div class="tiny">Partially based on<a href="https://www.cs.ubc.ca/~tmm/talks.html#minicourse14"> slides from Tamara Munzner</a></div>
</section>
<section id="outline">
<section>
<h2>What We Are Going to Learn</h2>
<ul class="small">
<li class="fragment">Human Computer Interaction</li>
<li class="fragment">Techniques for evaluation
<ul>
<li class="fragment">Controlled experiments</li>
<li class="fragment">Interviews</li>
<li class="fragment">Surveys</li>
<li class="fragment">Case studies</li>
</ul>
</li>
<li class="fragment">Usability studies
<ul>
<li class="fragment">Running the usability study</li>
<li class="fragment">Choosing tasks</li>
<li class="fragment">Prioritization</li>
<li class="fragment">Likert scales</li>
</ul>
</li>
</ul>
</section>
<section>
<div><img data-src="../shared_images/UC_Berkeley_wordmark_cal_gold.png" alt="University Of California at Berkeley logo"></div>
</section>
</section>
<section>
<section>
<h2>Evaluation</h2>
<ul>
<li class="fragment">Controlled experiments</li>
<li class="fragment">Natural settings</li>
<li class="fragment">Any setting not involving users (expert reviews)</li>
</ul>
</section>
<section>
<h2>Expert Reviews</h2>
<ul>
<li class="fragment">Design experts</li>
<li class="fragment">Visualization experts</li>
<li class="fragment">Usability experts</li>
<li class="fragment">Domain experts</li>
</ul>
</section>
<section>
<h2>Types of Expert Reviews</h2>
<ul class="small">
<li class="fragment">Heuristic evaluation (golden rules)</li>
<li class="fragment">Guidelines review</li>
<li class="fragment">Consistency inspection</li>
<li class="fragment">Cognitive walkthrough</li>
<li class="fragment">Metaphors of human thinking</li>
<li class="fragment">Formal usability inspection (courtroom style)</li>
<li class="fragment">Accesibility inspection</li>
</ul>
</section>
<section>
<h2>Eight Golden Rules of Design</h2>
<ul class="small">
<li class="fragment">Strive for consistency</li>
<li class="fragment">Cater for universal usability</li>
<li class="fragment">Offer informative feedback</li>
<li class="fragment">Design dialogs to yield closure</li>
<li class="fragment">Prevent errors</li>
<li class="fragment">Permit easy reversal of actions</li>
<li class="fragment">Support internal locus of control</li>
<li class="fragment">Reduce short-term memory load</li>
</ul>
</section>
<section>
<div><img data-src="../shared_images/UC_Berkeley_wordmark_cal_gold.png" alt="University Of California at Berkeley logo"></div>
</section>
</section>
<section>
<section>
<h2>Controlled Experiments</h2>
<ul>
<li class="fragment">Experiments in the lab</li>
<li class="fragment">Controlled confounding variables</li>
<li class="fragment">Measure one or more quantitative variables
<ul>
<li class="fragment">Usability testing</li>
<li class="fragment">Living labs</li>
</ul>
</li>
</ul>
</section>
<section>
<h3>What to Measure?</h3>
<ul>
<li class="fragment">Time to learn</li>
<li class="fragment">Speed of performance</li>
<li class="fragment">Rate of errors</li>
<li class="fragment">Retention over time</li>
<li class="fragment">Subject satisfaction</li>
</ul>
</section>
<section>
<h2>Variables</h2>
<ul>
<li class="fragment">Independent variables (causes)</li>
<li class="fragment">Dependent variables (effect)</li>
<li class="fragment">Extraneous variables (that can affect the experiment)</li>
</ul>
</section>
<section>
<h2>Controlled Experiment example</h2>
</section>
<section class="full">
<h3 class="demo">Tasks and conditions</h3>
<figure><img style="width:800px" data-src="../shared_images/controlled_experiment_example.png" Controlled experiment example>
<figcaption class="reference">Kim, Y. and Heer, J. (2018), Assessing Effects of Task and Data Distribution on the Effectiveness of Visual Encodings. Computer Graphics Forum, 37: 157-167. doi:10.1111/cgf.13409</figcaption>
</figure>
</section>
<section class="full">
<h3 class="demo">Controlling extraneous variables</h3>
<figure><img style="height:500px;width:auto;" data-src="../shared_images/controlled_experiment_example2.png" Controlled experiment example>
<figcaption class="reference">Kim, Y. and Heer, J. (2018), Assessing Effects of Task and Data Distribution on the Effectiveness of Visual Encodings. Computer Graphics Forum, 37: 157-167. doi:10.1111/cgf.13409</figcaption>
</figure>
</section>
<section class="full">
<h3 class="demo">Tasks</h3>
<figure><img style="height:500px;width:auto;" data-src="../shared_images/controlled_experiment_example3.png" Controlled experiment example>
<figcaption class="reference">Kim, Y. and Heer, J. (2018), Assessing Effects of Task and Data Distribution on the Effectiveness of Visual Encodings. Computer Graphics Forum, 37: 157-167. doi:10.1111/cgf.13409</figcaption>
</figure>
</section>
<section class="full">
<h3 class="demo">Results</h3>
<figure><img style="height:500px;width:auto;" data-src="../shared_images/controlled_experiment_example4.png" Controlled experiment example>
<figcaption class="reference">Kim, Y. and Heer, J. (2018), Assessing Effects of Task and Data Distribution on the Effectiveness of Visual Encodings. Computer Graphics Forum, 37: 157-167. doi:10.1111/cgf.13409</figcaption>
</figure>
</section>
<section>
<div><img data-src="../shared_images/UC_Berkeley_wordmark_cal_gold.png" alt="University Of California at Berkeley logo"></div>
</section>
</section>
<section>
<section>
<h1>Usability Testing</h1>
</section>
<section>
<h2 class="demo">Usability Testing</h2><span>
<a data-flickr-embed="true" href="https://www.flickr.com/photos/yandle/3231980616/in/photolist-5VAKeJ-e6vGNu-5VAMNf-5VAJkd-5VASE7-8uu5ej-3j3Cw-7WKyy5-7WKqhG-7WGg1p-bWf1T-cN17Zf-mLmuep-5iDL3Q-7WGaTx-bWf6R-pTf438-7WKzxd-7WGgwR-5VACYA-5VAHzY-5VwiYB-5VAGNL-5VADX3-5VwrGk-7yX8Zc-2vyF2V-7yX96K-dGkneA-7z2MTA-jrkhAN-fQ1cWh-69mwdv-dSJH5t-5iKD8N-2b6Jr-7WGk2x-7WGbSp-5VAQ8f-7WGb6a-7WKXYh-5iFg8H-7WGeMg-7WKssG-7WKtKd-bWffr-7WKt9m-7WKrxA-8ZAttz-7WKzLN" title="Brighton Uni Usability Lab"><img data-src="https://c1.staticflickr.com/4/3094/3231980616_5ccd164737_b.jpg" width="1024" height="685" alt="Brighton Uni Usability Lab"></a><script async data-src="//embedr.flickr.com/assets/client-code.js" charset="utf-8"></script>
</span>
</section>
<section>
<h3>Natural Settings Involving Users</h3>
<ul>
<li>Observation</li>
<li>Interviews</li>
<li>Logging</li>
</ul>
</section>
<section>
<h2>Triangulation</h2>
<p>Different researchers observe the same effect.</p>
</section>
<section>
<h2>Interviews</h2>
<ul>
<li>Unstructured</li>
<li>Structured</li>
<li>Semi-structured</li>
<li>Focus group</li>
<li>Telephone/online interviews</li>
</ul>
</section>
<section>
<h2>Questionnaire</h2>
<p>Like interviews but without the researcher present</p>
</section>
<section>
<div><img data-src="../shared_images/UC_Berkeley_wordmark_cal_gold.png" alt="University Of California at Berkeley logo"></div>
</section>
</section>
<section>
<section>
<h1>Likert Scales</h1>
</section>
<section>
<h2>Likert Scale</h2>
<p>What do you think?</p>
<ul>
<li>Strongly disagree</li>
<li>Disagree</li>
<li>Okay</li>
<li>Agree</li>
<li>Strongly agree</li>
</ul>
</section>
<section>
<h2>More About Likert Scales</h2>
<ul>
<li>Can be 3, 5, 7, or more responses</li>
<li>Continuous or discrete</li>
<li>Middle response is the balance</li>
</ul>
</section>
<section>
<h3 class="demo">Likert Scales d3</h3>
<div class="demo">
<div id="observablehq-4a66ebdc">
<div class="observablehq-chart"></div>
<div style="overflow: hidden;"><a style="display: block; float:right;" href="https://observablehq.com/@john-guerra/d3-likert-scale"><object type="image/svg+xml" style="pointer-events: none;" width=180 height=22 data="https://static.observableusercontent.com/files/c3fab254a006f1a3a1f9f63aba8ab1460db4752529036b9962950bde0ec195bab823daa6b278b1c3401e545b3bd640ddfdcad805cf9859af218cb2b9fed4ddf0"></object></a></div>
</div>
<script type="module">
import {Runtime, Inspector, Library} from "https://cdn.jsdelivr.net/npm/@observablehq/runtime@4/dist/runtime.js";
import define from "https://api.observablehq.com/@john-guerra/d3-likert-scale.js?v=3";
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</div>
<iframe class="blocks" data-src="https://blockbuilder.org/john-guerra/57d31bae7685139cecd731bba9f48090"></iframe><a class="tiny" target="_blank" href="https://blockbuilder.org/john-guerra/57d31bae7685139cecd731bba9f48090">https://blockbuilder.org/john-guerra/57d31bae7685139cecd731bba9f48090</a>
</section>
<section>
<h3 class="demo">Likert Scales Vega-Lite</h3>
<iframe class="blocks" data-src="https://vega.github.io/vega-lite/examples/layer_likert.html"></iframe><a class="tiny" target="_blank" href="https://vega.github.io/vega-lite/examples/layer_likert.html">https://vega.github.io/vega-lite/examples/layer_likert.html</a>
</section>
<section>
<h3 class="demo">Likert Scales Vega-L ite (cont.)</h3>
<iframe class="blocks" data-src="https://vega.github.io/vega-lite/examples/concat_layer_voyager_result.html"></iframe><a class="tiny" target="_blank" href="https://vega.github.io/vega-lite/examples/concat_layer_voyager_result.html">https://vega.github.io/vega-lite/examples/concat_layer_voyager_result.html</a>
</section>
<section>
<div><img data-src="../shared_images/UC_Berkeley_wordmark_cal_gold.png" alt="University Of California at Berkeley logo"></div>
</section>
</section>
<section>
<section>
<h1>Other Methods</h1>
</section>
<section>
<h2>Observation</h2>
<ul>
<li>User's setting</li>
<li>Can be direct or indirect</li>
</ul>
</section>
<section>
<h2>Direct Observation in the Field</h2>
<p>Ethnography</p>
</section>
<section>
<h3>Direct Observation in Controlled Environments</h3>
<ul>
<li>Think aloud techniques</li>
</ul>
</section>
<section>
<h3>Direct Observation: Tracking Users</h3>
<ul>
<li>Diaries</li>
<li>Interaction logs and web analytics</li>
</ul>
</section>
<section>
<h2>MILCS</h2>
<ul>
<li>Multi-dimensional</li>
<li>In-depth</li>
<li>Long-term</li>
<li>Case studies</li>
</ul>
</section>
<section>
<h2>TreeVersity MILCS</h2>
<ul>
<li>Thirteen different case studies with nine agencies</li>
<li><a href="http://treeversity.cattlab.umd.edu/">TreeVersity 2: UMD Budget 2010 - 2012</a></li>
</ul>
</section>
<section>
<h2>Focus groups</h2>
<p>One researcher, many attendees</p>
</section>
<section>
<h2>Prototyping</h2>
<ul>
<li>Low vs. high fidelity?</li>
<li>Read data</li>
<li>Build scenarios, tell a story</li>
</ul>
</section>
<section>
<h2>Quatitative evaluation</h2><a href="http://yatani.jp/teaching/doku.php?id=hcistats:anova">Analysis of Variance (ANOVA) for comparing the means</a>
</section>
<section>
<div><img data-src="../shared_images/UC_Berkeley_wordmark_cal_gold.png" alt="University Of California at Berkeley logo"></div>
</section>
</section>
<section>
<section>
<h2>Running a Usability Study</h2>
</section>
<section>
<h3>Validity Checks</h3>
<ul>
<li>Earlier stages:
<ul>
<li>Observe and interview target users (needs assessment)</li>
<li>Design data abstraction/operation (data types, transformation, operations)</li>
<li>Justify encoding/interaction design (design heuristics, perception research)</li>
<li>Informal analysis/qualitative analysis of prototypes (task-based)</li>
<li>Algorithm complexity analysis/evaluation</li>
</ul>
</li>
<li>Mid- and later stages:
<ul>
<li>Qualitative analysis of system (task-based)</li>
<li>Algorithm performance analysis</li>
<li>Lab or crowdsourced user study</li>
<li>Field study of the deployed system</li>
</ul>
</li>
</ul>
</section>
<section>
<h3>Formal Usability Study</h3>
<h4 class="fragment">Goal: Does the visualization allow the user/analyst to perform key tasks?</h4>
</section>
<section>
<h3>Task-Oriented Visual Insights</h3>
<ul>
<li>Basic insights:
<ul>
<li>Read a value</li>
<li>Identify extrema</li>
<li>Characterize distribution</li>
<li>Describe correlation</li>
</ul>
</li>
<li>Comparative insights:
<ul>
<li>Compare values</li>
<li>Compare extrema</li>
<li>Compare distribution</li>
<li>Compare correlation</li>
</ul>
</li>
</ul>
</section>
<section>
<h3>Usability Study: Logistics</h3>
<ul>
<li>You will need:
<ul>
<li>Visualization with test data loaded</li>
<li>Consent form (if required)</li>
<li>Task list</li>
<li>Protocol (study procedures and debrief questions)</li>
<li>Surveys/interviews and any additional data-collection instruments</li>
<li>Audio or video recorder, notepad</li>
</ul>
</li>
</ul>
</section>
<section>
<h3>How Many People Do You Need?</h3><img data-data-src="../shared_images/usability-size.png">
</section>
<section>
<h3>"Lab" Doesn’t Need to Mean a Formal Lab</h3>
</section>
<section>
<h3>Software for Collecting Audio/Video</h3>
<ul>
<li>Video of user</li>
<li>Screencapture of user actions</li>
<li>Audio of entire session</li>
</ul>
</section>
<section>
<h3>Online Tools</h3>
<ul>
<li>Surveys</li>
<li>Mouse tracking/navigation tracking</li>
</ul>
</section>
<section>
<div><img data-src="../shared_images/UC_Berkeley_wordmark_cal_gold.png" alt="University Of California at Berkeley logo"></div>
</section>
</section>
<section>
<section>
<h2>Prioritization</h2>
</section>
<section>
<h3>You’ve Collected Data</h3>
<div class="flex">
<div class="left">
<ul>
<li>Task completion</li>
<li>Time on task</li>
<li>Notes</li>
<li>Interview responses</li>
<li>Survey responses</li>
<li>...Then what?</li>
</ul>
</div>
<div class="right"><img data-data-src="../shared_images/user-study-result.png">
<div class="tiny"><a href="">Table source: Stasko, J., Catrambone, R., Guzdial, M., & McDonald, K. (2000). An evaluation of space-filling information visualizations for depicting hierarchical structures.</a></div>
</div>
</div>
<aside class="notes">
How is the task completion recorded, does the analyst note it themsleves, do they write something down.
</aside>
</section>
<section>
<h3>What is the Analyst’s Information Scent?</h3>
<aside class="notes">
A term originating from Peter Pirolli and Stuart Card PARC looking at meaning
Accounts for not just completion but also situating WHAT the person was doing, may wish to do think aloud as well. It’s not always obvious what leads to the challenge. Like a detective, not always obvious. Transating to design.
</aside>
</section>
<section>
<h3>MoSCoW Prioritization</h3>
<ul>
<li>Must</li>
<li>Should</li>
<li>Could</li>
<li>Won't</li>
</ul>
<aside class="notes">
Discuss brief history, came from the dynamic software development method.
</aside>
</section>
<section>
<h3>Severity Ratings</h3>
<ol>
<li>Not a real problem</li>
<li>Cosmetic</li>
<li>Minor usability issue</li>
<li>Major usability issue</li>
<li>Critical issue</li>
</ol>
<aside class="notes"></aside>
</section>
<section>
<h3>Limitations</h3>
<ol>
<li>Ecological validity</li>
<li>Are performance-oriented tasks the complete story?</li>
</ol>
<aside class="notes"></aside>
</section>
<section>
<div><img data-src="../shared_images/UC_Berkeley_wordmark_cal_gold.png" alt="University Of California at Berkeley logo"></div>
</section>
</section>
<section>
<section>
<h2>Usability Study Demo</h2>
</section>
<section>
<div><img data-src="../shared_images/UC_Berkeley_wordmark_cal_gold.png" alt="University Of California at Berkeley logo"></div>
</section>
</section>
<section>
<section>
<h2>Interview Michael Bessey</h2>
<p>Michael Bessey leads the Data Visualization team in MassMutual's centralized Data Science Department. Through his time here, Michael has led efforts to build and rebuild visualization systems that drive decision making through the top levels of the company.</p>
</section>
<section>
<div><img data-src="../shared_images/UC_Berkeley_wordmark_cal_gold.png" alt="University Of California at Berkeley logo"></div>
</section>
</section>
<section>
<section>
<h2>Interview Fereshteh Amini</h2>
<p>Fereshteh Amini is a Data Visualization Specialist at Microsoft with a PhD from the University of Manitoba.</p>
</section>
</section>
<section>
<section>
<h2>References</h2>
<ul>
<li><a href="http://cs.umd.edu/hcil/DTUI6/">Shneiderman, B. and Plaisant, C., 1987. Designing the user interface: Strategies for effective human-computer interaction</a></li>
<li><a href="http://www.id-book.com/">Rogers, Y., Sharp, H., Preece, J. and Tepper, M., 2007. Interaction design: beyond human-computer interaction.</a></li>
<li><a href="https://www.amazon.com/Doing-Psychology-Experiments-David-Martin/dp/0495115770"> Martin, D.W., 2007. Doing psychology experiments. Cengage Learning.</a></li>
</ul>
</section>
<section>
<div><img data-src="../shared_images/UC_Berkeley_wordmark_cal_gold.png" alt="University Of California at Berkeley logo"></div>
</section>
</section>
<section id="review">
<section>
<h2>What We Learned</h2>
<ul class="small">
<li class="fragment">Human Computer Interaction</li>
<li class="fragment">Techniques for evaluation
<ul>
<li class="fragment">Controlled experiments</li>
<li class="fragment">Interviews</li>
<li class="fragment">Surveys</li>
<li class="fragment">Case studies</li>
</ul>
</li>
<li class="fragment">Usability studies
<ul>
<li class="fragment">Running the usability study</li>
<li class="fragment">Choosing tasks</li>
<li class="fragment">Prioritization</li>
<li class="fragment">Likert scales</li>
</ul>
</li>
</ul>
</section>
</section>
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