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The Effect of Affect on User Engagement

Bödding, Rabea LU (2020) PSYP01 20201
Department of Psychology
Abstract
User Engagement is an emerging concept in Human-Computer Interaction that emphasizes the emotional, behavioral, and cognitive investment users have in technology. This thesis aims to examine the relationship between affect and user engagement and the extent to which affect may add to its assessment. To increase the concept’s cross-cultural generalizability, the User Engagement Scale (UES) was examined in German. The results of the exploratory factor analysis in Study 1 (N = 233) are mostly consistent with the original scale, yet some findings have implications on the translation as well as the original UES. In the second study (N = 170) a confirmatory factor analysis was used to assess the appropriateness of the scale. The items loaded... (More)
User Engagement is an emerging concept in Human-Computer Interaction that emphasizes the emotional, behavioral, and cognitive investment users have in technology. This thesis aims to examine the relationship between affect and user engagement and the extent to which affect may add to its assessment. To increase the concept’s cross-cultural generalizability, the User Engagement Scale (UES) was examined in German. The results of the exploratory factor analysis in Study 1 (N = 233) are mostly consistent with the original scale, yet some findings have implications on the translation as well as the original UES. In the second study (N = 170) a confirmatory factor analysis was used to assess the appropriateness of the scale. The items loaded significantly on the assigned factors, however, model fit indices were insufficient. High scale reliabilities were found in both studies (Cronbach’s α > .900). In the second study, the hypothesized relationships of user engagement were examined. Correlation analysis demonstrated that positive affect, self-efficacy, and system familiarity were positively correlated with user engagement. However, the correlation between negative affect and user engagement was negative but insignificant. A comparison between regression models illustrated affect did not contribute to the prediction of user engagement and that self-efficacy and familiarity did not have a moderating effect on this relationship. Limitations and implications of these results are discussed, including sampling concerns, usefulness of the UES and further research. (Less)
Please use this url to cite or link to this publication:
author
Bödding, Rabea LU
supervisor
organization
course
PSYP01 20201
year
type
H2 - Master's Degree (Two Years)
subject
keywords
User Engagement, User Engagement Scale (UES), Affect, Self-Efficacy, Familiarity, User Experience, Cross-cultural generalizability
language
English
id
9017741
date added to LUP
2020-06-18 09:19:02
date last changed
2020-06-18 09:19:02
@misc{9017741,
  abstract     = {{User Engagement is an emerging concept in Human-Computer Interaction that emphasizes the emotional, behavioral, and cognitive investment users have in technology. This thesis aims to examine the relationship between affect and user engagement and the extent to which affect may add to its assessment. To increase the concept’s cross-cultural generalizability, the User Engagement Scale (UES) was examined in German. The results of the exploratory factor analysis in Study 1 (N = 233) are mostly consistent with the original scale, yet some findings have implications on the translation as well as the original UES. In the second study (N = 170) a confirmatory factor analysis was used to assess the appropriateness of the scale. The items loaded significantly on the assigned factors, however, model fit indices were insufficient. High scale reliabilities were found in both studies (Cronbach’s α > .900). In the second study, the hypothesized relationships of user engagement were examined. Correlation analysis demonstrated that positive affect, self-efficacy, and system familiarity were positively correlated with user engagement. However, the correlation between negative affect and user engagement was negative but insignificant. A comparison between regression models illustrated affect did not contribute to the prediction of user engagement and that self-efficacy and familiarity did not have a moderating effect on this relationship. Limitations and implications of these results are discussed, including sampling concerns, usefulness of the UES and further research.}},
  author       = {{Bödding, Rabea}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{The Effect of Affect on User Engagement}},
  year         = {{2020}},
}