A modeling method for strategic design of semantic digital nudging
Ștefan Uifălean and Robert A. Buchmann
There’s a growing interest in optimizing User Interface (UI) design to better align with organizational strategies and facilitate improved guidance of users towards specific options in a choice architecture, a kind of user behavior influencing known as "digital nudging". The paper reports on a Design Science Research project introducing a domain-specific modeling method to integrate digital nudging strategies with User Experience (UX) and feature portfolio design.
This paper proposes Semantic Digital Nudging as a modeling method that semantically enriches Digital Nudges implemented in UX workflows by linking to target product features. This is deployed as a visual tool that embeds properties which can be queried to assess the friction certain nudges cause on User Experience and to maintain an inventory of by-design nudges. Linking the procedural knowledge in UI usage flows with product features and the nudging patterns makes this a multi-perspective domain-specific modeling approach that can help businesses to plan the layout of user choices, or help the user make more sustainable choices by increasing salience of healthier alternatives.
This paper proposes Semantic Digital Nudging as a modeling method that semantically enriches Digital Nudges implemented in UX workflows by linking to target product features. This is deployed as a visual tool that embeds properties which can be queried to assess the friction certain nudges cause on User Experience and to maintain an inventory of by-design nudges. Linking the procedural knowledge in UI usage flows with product features and the nudging patterns makes this a multi-perspective domain-specific modeling approach that can help businesses to plan the layout of user choices, or help the user make more sustainable choices by increasing salience of healthier alternatives.
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A modeling method for strategic design of semantic digital nudging. In: BIR-WS 2023: BIR 2023 Workshops and Doctoral Consortium, 22nd International Conference on Perspectives in Business Informatics Research (BIR 2023), 2023.
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@inproceedings{nokey,
title = {A modeling method for strategic design of semantic digital nudging},
author = {Ștefan Uifălean and Robert A. Buchmann},
url = {https://ceur-ws.org/Vol-3514/paper91.pdf},
year = {2023},
date = {2023-09-13},
urldate = {2023-09-13},
booktitle = {BIR-WS 2023: BIR 2023 Workshops and Doctoral Consortium, 22nd International Conference on Perspectives in Business Informatics Research (BIR 2023)},
journal = {BIR-WS 2023: BIR 2023 Workshops and Doctoral Consortium, 22nd International Conference on Perspectives in Business Informatics Research (BIR 2023)},
abstract = {There’s a growing interest in optimizing User Interface (UI) design to better align with organizational strategies and facilitate improved guidance of users towards specific options in a choice architecture, a kind of user behavior influencing known as "digital nudging". The paper reports on a Design Science Research project introducing a domain-specific modeling method to integrate digital nudging strategies with User Experience (UX) and feature portfolio design.
This paper proposes Semantic Digital Nudging as a modeling method that semantically enriches Digital Nudges implemented in UX workflows by linking to target product features. This is deployed as a visual tool that embeds properties which can be queried to assess the friction certain nudges cause on User Experience and to maintain an inventory of by-design nudges. Linking the procedural knowledge in UI usage flows with product features and the nudging patterns makes this a multi-perspective domain-specific modeling approach that can help businesses to plan the layout of user choices, or help the user make more sustainable choices by increasing salience of healthier alternatives.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}