2016
DOI: 10.1007/978-3-319-43271-7_1
|View full text |Cite
|
Sign up to set email alerts
|

Research through Design: Qualitative Analysis to Evaluate the Usability

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
5
0
1

Year Published

2017
2017
2024
2024

Publication Types

Select...
4
3

Relationship

1
6

Authors

Journals

citations
Cited by 12 publications
(8 citation statements)
references
References 10 publications
0
5
0
1
Order By: Relevance
“…Voorberg et al , 2015) to accumulate a cohesive body of knowledge (Krippendorf, 2004). Furthermore, the software NVivo was used to ensure a more rigorous and trustworthy process of data analysis (Costa et al , 2017).…”
Section: Methodsmentioning
confidence: 99%
“…Voorberg et al , 2015) to accumulate a cohesive body of knowledge (Krippendorf, 2004). Furthermore, the software NVivo was used to ensure a more rigorous and trustworthy process of data analysis (Costa et al , 2017).…”
Section: Methodsmentioning
confidence: 99%
“…Three rounds were held: the first round consisted of a face-to-face interview with each of the 10 experts in order to obtain suggestions on questions to be put on the questionnaire; the suggestions received were integrated into the webQDA qualitative research software in order to organise, structure, compare and homogenise the proposals [23][24][25][26][27][28][29].…”
Section: Delphi Methods Roundsmentioning
confidence: 99%
“…The study utilised online product reviews to conduct quantitative and qualitative analysis and came up with key themes that seemed to affect user experiences with these devices such as usability, trust, motivation and wearability. Several studies such as Costa (2017), Braun and Clark (2019) and Byrne (2022) explain the motivation, framework and interpretations of qualitative thematic analysis for the study non-measurable aspects of user experience in design research. Costa (2017) conducted a usability study for qualitative data analysis software webQDA version 2.0 through content analysis.…”
Section: Literature Reviewmentioning
confidence: 99%