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  4. A Configurational View on Avatar Design – The Role of Emotional Attachment, Satisfaction, and Cognitive Load in Digital Learning
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A Configurational View on Avatar Design – The Role of Emotional Attachment, Satisfaction, and Cognitive Load in Digital Learning

Journal
International Conference on Information Systems (ICIS)
Type
conference paper
Date Issued
2019-12-14
Author(s)
Schöbel, Sofia
;
Janson, Andreas  
;
Mishra, Abhay Nath
Research Team
IWI6
Abstract
In online learning settings interactive and meaningful feedback is becoming increasingly important. However, feedback from teachers is oftentimes missing in online learning settings. To overcome challenges that arise from the missing representation of teachers, our study analyzes the relevance of avatar designs in learning settings. We therefore rely on avatars as game design elements and analyze how their design can influence emotional attachment, learning process satisfaction, and extraneous cognitive load in learning. To achieve our goal, we conduct a qualitative comparative analysis with 998 datasets that were collected in a 2x2x2 pre-post online experiment that was developed to train participants in learning functions in Excel. Our results indicate that interaction, familiarity, motivation, and aesthetic experiences are important configurations for avatars that are used in learning. We contribute to different streams of theory such as self-expansion and guide practitioners by providing implications about how to create meaningful avatar designs for learning applications.
Language
English
Keywords
Avatars
Gamification
Qualitative Comparative Analysis
Learning
Emotional Attachment
Satisfaction
Cognitive Load
HSG Classification
contribution to scientific community
Event Title
International Conference on Information Systems (ICIS)
Event Location
Munich, Germany
Event Date
14.12.2019
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/97947
Subject(s)

other research area

computer science

education

Division(s)

IWI - Institute of In...

Eprints ID
257960
File(s)
Thumbnail Image
Name

JML_759.pdf

Size

457.55 KB

Format

Adobe PDF

Checksum (MD5)

d4e8d28910b86f5cc51567f93a5fa9fa

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