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Labake Odushegun

dblp:338/5847 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2023
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Usability and user experience research · 77% User interface design and tools · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Usability and user experience research › user affect
emotional experience
0.712023
Aesthetic semantics: Affect rating of atomic visual web aesthetics for use in affective user experience design · Int. J. Hum. Comput. Stud. 2023
User interface design and tools
aesthetic design
0.212023
Aesthetic semantics: Affect rating of atomic visual web aesthetics for use in affective user experience design · Int. J. Hum. Comput. Stud. 2023

Methods — techniques the papers use, named apart from their topics

empirical study · 0.7affect rating · 0.7
YearPublicationVenuePosition
2023 Aesthetic semantics: Affect rating of atomic visual web aesthetics for use in affective user experience design
abstract
Aesthetic principle not only concerns the perception of visual beauty, but most crucially, the cognitive-affective responses derived from experiencing such stimuli. Despite this knowledge, user experience (UX) designers often prioritise beauty over intended end-user affect. This reversed order of prioritisation contradicts the sequential UX design process, leading to unexpected end-user perceptions and responses. The challenge in shaping UX before user interface (UI) design is that there first must be prior knowledge of aesthetic affect. A study with 1,782 worldwide participants was conducted evaluating affective user-responses to 43 atomic aesthetics using 153,252 data points and presented as affect ratings (ARs). Results demonstrated high affective resonance amongst aesthetics evaluated, suggesting aesthetic AR may be a viable method of improving the UX design process by influencing user perceptions, responses and actions at a non-conscious level. This is the first of a series of studies in the direction of Aesthetic Semantics®.
Labake Odushegun
Int. J. Hum. Comput. Stud.1