10 Myths About UX And Usability Testing

Myth: UX is motivated by technology

1. Full URL: https://info.keylimeinteractive.com/10-myths-about-ux Save Time On Research and Writing Hire a Pro to Write You a 100% Plagiarism-Free Paper. Get My Paper
Myth (as copied from website)	UX is motivated by technology
The truth about the myth (one paragraph)	The majority of people believe that user experience is motivated by the amount of technology on the current market. However, the people (for their convenience) who are using the technology mainly motivate UX. Save Time On Research and Writing Hire a Pro to Write You a 100% Plagiarism-Free Paper. Get My Paper
U or UX (motivate)	UX because the myth is for the same
2. Full URL: https://fireart.studio/blog/10-myths-that-can-ruin-your-mobile-ux/
Myth (as copied from website)	Designers and Users Think the Same
The truth about the myth (one paragraph)	Many designers tend to think that since they are designing the task as per user needs, both their and the user’s thinking will be same. However, it is not the case because the user may think of different UX design and its interaction method that the designers designs for their project.
U or UX (motivate)	UX because the myth is for the same
3. Full URL: https://uxdesign.cc/5-myths-about-ux-metrics-263f003cf94a
Myth (as copied from website)	Metrics have nothing to do with new products
The truth about the myth (one paragraph)	In order to get information from users when launching a new product, it is necessary to establish metrics; or else, the collected usability and acceptance information cannot be compared in the future.
U or UX (motivate)	UX and U because the myth is for the same
4. Full URL: https://uxmyths.com/post/712537920/myth-you-need-to-redesign-your-website-periodically
Myth (as copied from website)	You need to redesign your website periodically
The truth about the myth (one paragraph)	Many designers might think that it is good to fully design the Whole System Structure to make the system more desirable. However, that is not the case for the users as changing the whole working designs in each updates may make the users irritated resulting in creating negative impact.
U or UX (motivate)	UX because the myth is for the same
5. Full URL: https://www.uxmatters.com/mt/archives/2015/11/10-user-research-myths-and-misconceptions.php
Myth (as copied from website)	User Research Is Usability Testing
The truth about the myth (one paragraph)	Among various user research methods, usability testing is just one, but it is not true that everyone should use this. It is needed to make clear that the difference between usability testing and other user research techniques are similar but not the same, it is because Usability testing techniques plays a major role in the development of error free system.
U or UX (motivate)	U because the myth is for the same

1 = Chi Square (X2) Counts, Frequencies

2 = Ordered Group/Category

3 = Nonparametric Tests

4 = Correlations

5 = Comparing Means

6 = Paired Samples

7 = Paired Samples T-Test

8 = Continuous Natural Zero

9 = Pie/Donut Charts/Stacked Bar/Column Graphs

10 = Continuous Data

Solution a

1. Full reference to the article/publication: Maramba, I., Chatterjee, A. and Newman, C., 2019. Methods of usability testing in the development of eHealth applications: a scoping review. International journal of medical informatics, 126, pp.95-104.
URL to article/publication: https://pearl.plymouth.ac.uk/bitstream/handle/10026.1/13696/UsabilityScopingReview_Revision_FInal_20_Feb_2019.pdf?sequence=2&isAllowed=n
Article Definition	Identification, exploration, and synthesis of the techniques currently used for usability testing eHealthapplications.
Similarities to the ISO definition	· product or service explained · specified users detailed · specified goals, efficiency, effectiveness, and satisfaction explained
Differences to the ISO definition	Usability testing detailed
2. Full reference to the article/publication: Howe, J.L., Adams, K.T., Hettinger, A.Z. and Ratwani, R.M., 2018. Electronic health record usability issues and potential contribution to patient harm. Jama, 319(12), pp.1276-1278.
URL to article/publication: https://jamanetwork.com/journals/jama/articlepdf/2676098/jama_Howe_2018_ld_180005.pdf
Article Definition	The article is mainly about identifying the usability issues that are presently faced by the patients which may give rise to potential harm.
Similarities to the ISO definition	Analyzing the issues identified in Possible Patient Harm Reports to learn about the Electronic Health Record (EHR) Clinical along with Usability Processes Issues.
Differences to the ISO definition	The current journal mainly focus on Electronic Health Record (EHR) Usability and Clinical Processes to find the overall issues in the implemented systems that are already in effect. The analysis were not done based on the designs but on available data.
3. Full reference to the article/publication: Ghosh, D., Foong, P.S., Zhang, S. and Zhao, S., 2018, April. Assessing the utility of the system usability scale for evaluating voice-based user interfaces. In Proceedings of the Sixth International Symposium of Chinese CHI (pp. 11-15).
URL to article/publication https://dl.acm.org/doi/pdf/10.1145/3202667.3204844?casa_token=edjoOaujGs4AAAAA:QT0yMFqmw7j0fAcZfc4K1zS_FKB88B1DhofthCfXZQI4upjoxWNWADQhnnWADJzjxNzMgGxPhaamSdA
Article Definition	The voice-based user interface challenges the existing notions about usability since the tools that are currently used for usability evaluation are typically developed for interfaces with visual feedback, while VUI’s typically involve voice interactions.
Similarities to the ISO definition	· product or service explained · specified users detailed · specified goals, efficiency, effectiveness and satisfaction explained
Differences to the ISO definition	Analysis done charts are provided to clearly understand the usability
4. Full reference to the article/publication Mujinga, M., Eloff, M.M. and Kroeze, J.H., 2018. System usability scale evaluation of online banking services: A South African study. South African journal of science, 114(3-4), pp.1-8.
URL to article/publication: https://www.scielo.org.za/scielo.php?pid=S0038-23532018000200014&script=sci_arttext&tlng=es
Article Definition	This article focuses on the effect of moderating factors on online banking usability assessment in a specific locale. Through statistical analyses including ANOVA, f-tests, and correlation, the authors of the article examined whether there were statistically significant mean differences in system usability scale (SUS) scores in South Africa according to a variety of moderating factors.
Similarities to the ISO definition	· product or service explained · specified users detailed · specified goals, efficiency, effectiveness and satisfaction explained
Differences to the ISO definition	Investigation using f-tests, ANOVA and correlation
5. Full reference to the article/publication Hodrien, A. and Fernando, T.P., 2021. A review of post-study and post-task subjective questionnaires to guide assessment of system usability. Journal of Usability Studies, 16(3), pp.203-232.
URL to article/publication: https://usir.salford.ac.uk/id/eprint/60928/4/Hodrien_JUS_May2021.pdf
Article Definition	An interactive software application’s usability is a crucial consideration due to the various outcomes that can result. A recent review of usability methods concluded that the community does not yet accept the application of models to usability. Therefore numerous evaluation methods have, been proposed. Using questionnaires is one of the commonly used methods.
Similarities to the ISO definition	· product or service explained · specified goals, efficiency, effectiveness and satisfaction explained
Differences to the ISO definition	· Analysis of general post-task and post- study usability procedures.

Solution b

Upon going through all the above articles, usability can be stated about using a product or design to achieve a goal can be measured by how effectively, efficiently, and satisfactorily it can be used by a specific or specific group users in a particular context. After utility and before desirability and brand experience, usability comes second after user experience. As a result, usability contains the following elements to fully understand and assess the intended system:

Efficiency
Effectiveness
Error Tolerance
Engagement and
Ease of Learning

Solution C

Column A Classes	Column B Metrics
Goal achievement	Task Success
Work rate	Time on Task
Knowledge acquisition	Learnability
Operability	Efficiency

Solution d

The other classes of metrics that are absent from this early list of usability measurements are:

Errors
Self – reported Metrics
Issues – based Metrics
Combined & Comparative Metrics
Behavioral & Physiological Metrics
Card – Sorting Data
Live Website Metrics

Solution A

	Issue 1	Issue 2	Issue 3	Issue 4	Issue 5	Issue 6	Issue 7	Issue 8	Issue 9	Issue 10	Population
P1	x		x		x		x	x	x		0.6
P2	x	x		x		x					0.4
P3			x			x		x	x	x	0.5
P4	x	x			x			x	x	x	0.6
P5				x	x		x				0.3
P6	x					x		x	x		0.4
P7		x	x		x			x	x	x	0.6
P8	x		x	x	x		x	x		x	0.7
P9		x	x	x		x	x		x		0.6
P10		x			x						0.2
Population	0.5	0.5	0.5	0.4	0.6	0.4	0.4	0.6	0.6	0.4	0.49

Solution b

p = 0.49

Percentages

2 users: Calculations

1 – (1 – p)²

= 1 – (1 – 0.49)²

= 1 – (0.51)²

= 1 – 0.2601

= 0.7399 ~ 74%

4 users: Calculations

1 – (1 – p)⁴

= 1 – (1 – 0.49)⁴

= 1 – (0.51)⁴

= 1 – 0.06765201

= 0.93234799 ~ 93%

6 users: Calculations

1 – (1 – p)⁶

= 1 – (1 – 0.49)⁶

= 1 – (0.51)⁶

= 1 – 0.0175962078

= 0.9824037122 ~ 98%

8 users: Calculations

1 – (1 – p)⁸

= 1 – (1 – 0.49)⁸

= 1 – (0.51)⁸

= 1 – 0.0045767945

= 0.9954232055 ~ 99.5%

Solution c

From the above percentage of error calculations, we have found that the possibility of finding all the errors in the system is 74 % for two users which is not good at all for finding issues in any system. As the number of users is increased to 4, 6, and 8, its percent also increase to 93%, 98%, and 99.5% respectively which is a good result. Hence it can be concluded that increasing the number of participants usability studies is a good factor.

Solution d

Participant	Tasks completed (of 10)	No. of errors	Satisfaction (1-7)	New functions rating (1-7)	Tasks	Accuracy	Satisfaction	New Functions	Average
P1	9	4	3	3	90%	56%	33%	33%	53%
P2	10	9	4	6	100%	0%	50%	83%	58%
P3	8	8	5	5	80%	11%	67%	67%	56%
P4	6	1	4	6	60%	89%	50%	83%	71%
P5	7	2	5	5	70%	78%	67%	67%	71%
P6	8	8	4	2	80%	11%	50%	17%	40%
P7	9	3	3	6	90%	67%	33%	83%	68%
P8	10	4	1	3	100%	56%	0%	33%	47%
P9	8	1	4	2	80%	89%	50%	17%	59%
P10	10	8	6	6	100%	11%	83%	83%	69%
Ave	9	5	4	4	85%	47%	48%	57%	59%

Solution e

The goals set for the new ATM system are as follows:

Fifty percent of users will be able to complete at least 5 tasks
No user should make more than 5 errors for all the tasks
More than 70% of users should agree that they are satisfied with the new ATM
More than 50% of users should “somewhat agree” that they find the new ATM functions useful

Out of the above detailed goals, criterion 1, 4 successfully achieves its purpose. As for criterion 3, exactly 70% (7 out of 10) of all the users are satisfied with the new ATM giving a 50% and above satisfaction rating. Finally, the criterion 2 does not meet its requirement with the above-calculated data. In the end, it can be concluded that new ATM system is somewhat acceptable with the net satisfaction level being at approximately 48%.

Solution f

The overall score for the new ATM is 59% which is moderately acceptable. Even though the system gave out many errors, after making certain adjustments (after resolving the found errors), the system can be utilized in real-time.

Solution g

Since both the participants1 and 2 made errors totaling two errors, will make the total number of unique error as 11 (9 + 4 – 2).

Solution A

Tasks 4, 7 and 10 are the most problematic because task 4 had the least success rate whereas tasks 7 and 10 were problematic for the participants to follow u and complete as intended.

Solution b

Task 10 had the most disparity between task rating and task success. It is because, the difference between the task success and task rating is the most in it.

Solution C

The finding here above in b is troublesome because it might indicate that some of the users did successfully completed the task successfully but thought that they did not.

Solution D

Using radar charts will enable to represent the summary data with three metrics.

The collection, analysis and presentation of the usability data will be done in the following segments:

Preparing a questionnaire for all the necessary tasks
Collecting the data
Clearing the data
Analyzing the data and
Sharing the results

In the current segment, all the working steps will be noted and questioners will be prepared. The questioner will be mainly of four types; first, if the user was able to successfully complete the asked step, secondly, was the user satisfied after completing the desired task, how many errors did the user was able to find while performing the task and finally how would they rate the new task based on their experience of using it. With this the questionere preparation task will be complete

Once the objective have been established, the data needs to be collected. The data collection will be performed mainly on numeric and Boolean type data. The data collection method for the current situation will be first- party data. The users will be directly asked to answer the questions to gather the data. Since, first- party data are mainly unstructured, the data needs to be structured and cleared to get a desired outcome. The data will be collected mainly using “UserZoom”.

The first – party gathered data is cleared by removing all the major error, duplicate and unwanted data points from the collected data. Once the data is cleared, it is ready to be analyzed.

In this segment, the collected and structured data is analyzed. For the current situation, only descriptive as well as diagnostic analysis needs to be done to get the desired analysis data.

Finally, the analyzed data is results is shared with the developers, to present them with the status of the current task. It helps them in processing with the future adjustments and developments.

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