Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/9001
Title: Understanding aesthetics of interaction: A repertory grid study
Authors: Mõttus, Mati 
Lamas, David Ribeiro 
Karapanos, Evangelos 
Cockton, Gilbert 
metadata.dc.contributor.other: Καραπάνος, Ευάγγελος
Major Field of Science: Social Sciences
Field Category: Media and Communications
Keywords: Aesthetics Of Interaction;Repertory Grid;Aesthetic Constructs
Issue Date: 23-Oct-2016
Source: ACM International Conference Proceeding Series, 23-27-October-2016, Article number a120
Abstract: This work in progress paper explores users' perceptions of the aesthetics of interaction. We describe a qualitative study using the Repertory Grid Technique (RGT) that elicited individuals' personal constructs, bipolar adjectives such as beautiful vs ugly that characterize individuals' idiosyncratic ways of classifying and differentiating between a set of stimuli. The constructs were sorted by similarity, resulting in a set of aesthetic categories. Quantitative data (i.e., participants' ratings) from the RGT further enables us to assess the internal consistency of the emerging categories as well as to chart the design space of aesthetic interactions. All in all, 23 categories of aesthetics of interaction were established based on users' perceptions. These categories partially corroborated (e.g., speed, proximity, complexity) but also expanded (e.g., natural realism, congruence, dimensionality) prior work on experience qualities in Human-Computer Interaction (HCI).
Description: 9th Nordic Conference on Human-Computer Interaction, NordiCHI 2016; Lindholmen Congress CenterGothenburg; Sweden; 23 October 2016 through 27 October 2016
URI: https://hdl.handle.net/20.500.14279/9001
ISBN: 978-145034763-1
DOI: 10.1145/2971485.2996755
Rights: © 2016 ACM
Affiliation : Tallinn University 
Cyprus University of Technology 
Northumbria University 
Appears in Collections:Κεφάλαια βιβλίων/Book chapters

CORE Recommender
Show full item record

SCOPUSTM   
Citations 50

3
checked on Nov 6, 2023

Page view(s) 50

465
Last Week
0
Last month
1
checked on Nov 21, 2024

Google ScholarTM

Check

Altmetric


Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.