Heuristic Evaluation Plan

706.021 Mensch-Maschine-Kommunikation 3VU SS 2006

Group 5-06

Joachim Lechner
Marcel Medwed
Markus Tatzgern
Michael Hofmann

Evaluation of the Web Site

http://www.one.at/

HE Plan of 06.04.2006

1 Evaluation Methodology

The Heuristic Evaluation is a technique to analyse the usability of interface designs (software). For this purpose a number of evaluators in the range of unexperienced to experienced investigates the design (typically 3-5 test users per user group result in the best cost-benefit ratio (see How to Conduct a Heuristic Evaluation )). Generally it is the case that some experienced testers will find the same number of issues as a greater amount of unexperienced ones.

For the evaluation of the interfaces so called usability heuristics are used (see Ten Usability Heuristics and this document on heuristics). Each test user tests the webpage against these generic recognised usability principals. The main goal is to find as many of the existing usability problems as possible, but also positive aspects should be noted. Additionally screenshots and notes may be used to describe the results. To achieve a high fault detection coverage it is necessary to combine the individual evaluation results. This originates from the fact that the single test results only cover a subset of the total issues. Furthermore it is required that the evaluations are independent from each other. Influences may lead to a lower overall percentage of detected faults, after the results are combined. The individual results are aggregated together by the evaluation manager (remove duplicates, merge same results, categorise, etc.). Afterwards each evaluator independently assigns a severity rating for each problem. Finally the average value of the weights is calculated to find the issues with the highest rating.

This method doesn't provide information on how to correct the found usability issues. It is a very cheap and relatively fast method for finding design problems, which not only finds major problems but also minor ones. Another advantage of the heuristic evaluation is that it can be applied very early in the development process (e.g. pen-and-paper). This results in an early detection of design problems.

2 User Profile

Mainly the side tries to attract the following three types of users. This is already obvious through the main page of the webside.

Additionally these users can be grouped into the following two categories:

Furthermore we found the following special user groups, which also get some attention:

Overall the webpage is designed for all ages. But of course a personal computer with an Internet connection and basic websurfing knowledge is required. Furthermore money is required for using the available offerings. Because of this the webpage attracts persons older than about 14 years (our esteem).

3 Evaluators

The webpage will be evaluated by four students of Telematics at the University of Technology Graz Austria. Management and administrative tasks will be carried out by Marcel Medwed. Details of the environments we will use for the evaluation are presented in the next section.

4 Evaluation Environment(s)

Tabular overview of the different evaluation environment(s) which will be used. Demographic data, hardware, browser, type and speed of internet connection, etc. which each evaluator will be using.

Table 1: Evaluation Environment.
Evaluator Joachim Lechner Marcel Medwed Markus Tatzgern Michael Hofmann
Age 25 23 23 23
Sex male male male male
Web Browser Mozilla Firefox 1.5.0.1 Internet Explorer 6.0 Opera 8.5 Internet Explorer 6.0
Operating System Debian GNU/Linux (unstable) Windows XP SP 2 Debian GNU/Linux (unstable) Windows XP SP 2
Internet Connection 16Mbit (Chello) 3Mbit (Chello) 2Mbit ADSL 3Mbit (Chello)
Monitor Colours 24bit 24bit 24bit 24bit
Monitor Resolution 1280x1024 1280x1024 1280x1024 1280x1024
Monitor Size 17" TFT 19" TFT 19" TFT 19" TFT

Appendix A: Heuristics

A description of the heuristics which will be used can be found under heuristics.pdf

In the hardcopy a printout of this list of heuristics is included.

Appendix B: Evaluation Log Files

The following files contain the individual results of evaluators.
log-leechjoe.txt
log-koermy.txt
log-tatze.txt
log-mhofmann.txt

In the hardcopy a printout of all log files is included.

Appendix C: Skeleton Spreadsheet

Raw skeleton spreadsheet for evaluation manager helist.xls