Matches in SemOpenAlex for { <https://semopenalex.org/work/W4307267512> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W4307267512 endingPage "110" @default.
- W4307267512 startingPage "110" @default.
- W4307267512 abstract "Nudging provides a way to gently influence people to change behavior towards a desired goal, e.g., by moving towards a healthier or more environmentally friendly lifestyle. Personalized and context-aware digital nudging (named smart nudging) can be a powerful tool for efficient nudging by tailoring nudges to the current situation of each individual user. However, designing smart nudges is challenging, as different users may need different supports to improve their behavior. Determining the next nudge for a specific user must be done based on the user’s current situation, abilities, and potential for improvement. In this paper, we focus on the challenge of designing the next nudge by presenting a novel classification of nudges that distinguishes between (i) nudges that are impossible for the user to follow, (ii) nudges that are unlikely to be followed, and (iii) probable nudges that the user can follow. The classification is tailored to individual users based on user profiles, current situations, and knowledge of previous behaviors. This paper describes steps in the nudge design process and a novel set of principles for designing smart nudges." @default.
- W4307267512 created "2022-10-31" @default.
- W4307267512 creator A5033493229 @default.
- W4307267512 creator A5058054513 @default.
- W4307267512 date "2022-10-22" @default.
- W4307267512 modified "2023-10-14" @default.
- W4307267512 title "The Impossible, the Unlikely, and the Probable Nudges: A Classification for the Design of Your Next Nudge" @default.
- W4307267512 cites W1600481623 @default.
- W4307267512 cites W2014023679 @default.
- W4307267512 cites W2024679399 @default.
- W4307267512 cites W2112786892 @default.
- W4307267512 cites W2146882979 @default.
- W4307267512 cites W2192163651 @default.
- W4307267512 cites W2767778764 @default.
- W4307267512 cites W2811058660 @default.
- W4307267512 cites W2895770995 @default.
- W4307267512 cites W2907820309 @default.
- W4307267512 cites W2941211423 @default.
- W4307267512 cites W2952933511 @default.
- W4307267512 cites W3004652104 @default.
- W4307267512 cites W3013148268 @default.
- W4307267512 cites W3081077019 @default.
- W4307267512 cites W3087873835 @default.
- W4307267512 cites W3120501274 @default.
- W4307267512 cites W4200366112 @default.
- W4307267512 cites W4236971218 @default.
- W4307267512 doi "https://doi.org/10.3390/technologies10060110" @default.
- W4307267512 hasPublicationYear "2022" @default.
- W4307267512 type Work @default.
- W4307267512 citedByCount "0" @default.
- W4307267512 crossrefType "journal-article" @default.
- W4307267512 hasAuthorship W4307267512A5033493229 @default.
- W4307267512 hasAuthorship W4307267512A5058054513 @default.
- W4307267512 hasBestOaLocation W43072675121 @default.
- W4307267512 hasConcept C111919701 @default.
- W4307267512 hasConcept C151730666 @default.
- W4307267512 hasConcept C15744967 @default.
- W4307267512 hasConcept C177264268 @default.
- W4307267512 hasConcept C199360897 @default.
- W4307267512 hasConcept C2776031354 @default.
- W4307267512 hasConcept C2779343474 @default.
- W4307267512 hasConcept C41008148 @default.
- W4307267512 hasConcept C77805123 @default.
- W4307267512 hasConcept C86803240 @default.
- W4307267512 hasConcept C8858961 @default.
- W4307267512 hasConcept C98045186 @default.
- W4307267512 hasConceptScore W4307267512C111919701 @default.
- W4307267512 hasConceptScore W4307267512C151730666 @default.
- W4307267512 hasConceptScore W4307267512C15744967 @default.
- W4307267512 hasConceptScore W4307267512C177264268 @default.
- W4307267512 hasConceptScore W4307267512C199360897 @default.
- W4307267512 hasConceptScore W4307267512C2776031354 @default.
- W4307267512 hasConceptScore W4307267512C2779343474 @default.
- W4307267512 hasConceptScore W4307267512C41008148 @default.
- W4307267512 hasConceptScore W4307267512C77805123 @default.
- W4307267512 hasConceptScore W4307267512C86803240 @default.
- W4307267512 hasConceptScore W4307267512C8858961 @default.
- W4307267512 hasConceptScore W4307267512C98045186 @default.
- W4307267512 hasIssue "6" @default.
- W4307267512 hasLocation W43072675121 @default.
- W4307267512 hasLocation W43072675122 @default.
- W4307267512 hasLocation W43072675123 @default.
- W4307267512 hasOpenAccess W4307267512 @default.
- W4307267512 hasPrimaryLocation W43072675121 @default.
- W4307267512 hasRelatedWork W2941211423 @default.
- W4307267512 hasRelatedWork W2957688653 @default.
- W4307267512 hasRelatedWork W2982424490 @default.
- W4307267512 hasRelatedWork W3122903754 @default.
- W4307267512 hasRelatedWork W3132050044 @default.
- W4307267512 hasRelatedWork W3136555824 @default.
- W4307267512 hasRelatedWork W3158446864 @default.
- W4307267512 hasRelatedWork W3173277169 @default.
- W4307267512 hasRelatedWork W3215950497 @default.
- W4307267512 hasRelatedWork W4376870533 @default.
- W4307267512 hasVolume "10" @default.
- W4307267512 isParatext "false" @default.
- W4307267512 isRetracted "false" @default.
- W4307267512 workType "article" @default.