Matches in SemOpenAlex for { <https://semopenalex.org/work/W4384662767> ?p ?o ?g. }
- W4384662767 endingPage "16" @default.
- W4384662767 startingPage "1" @default.
- W4384662767 abstract "Gratitude is a moral emotion that demonstrates our appreciation of altruism. In psychology, feeling grateful is linked to an increase in well-being, yet there is a lack of HCI research on if gratitude can be cultivated through and with conversational agents. We quantitatively studied whether a chatbot can increase people’s gratitude (N = 133), as well as its influence on people’s positive and negative emotions. Compared to the control condition, a chatbot that shared gratitude interventions significantly enhanced people’s gratitude and positive emotions, while lowering negative emotions. Interestingly, people’s experience of gratitude differed from other positive emotions: Simple positive emotions, like joy, can go up while reported gratitude decreases. We share qualitative observations on how gratitude can be a complex emotional experience, encompassing positive and negative emotions, such as finding relief in admitting to a chatbot about one’s sadness over friendship during the COVID-19 pandemic." @default.
- W4384662767 created "2023-07-20" @default.
- W4384662767 creator A5003227858 @default.
- W4384662767 creator A5006886273 @default.
- W4384662767 creator A5077447365 @default.
- W4384662767 date "2023-07-18" @default.
- W4384662767 modified "2023-09-27" @default.
- W4384662767 title "Cultivating Gratitude with a Chatbot" @default.
- W4384662767 cites W1491103296 @default.
- W4384662767 cites W1976439938 @default.
- W4384662767 cites W1977500036 @default.
- W4384662767 cites W1991389051 @default.
- W4384662767 cites W2003238582 @default.
- W4384662767 cites W2013754400 @default.
- W4384662767 cites W2016326575 @default.
- W4384662767 cites W2017508480 @default.
- W4384662767 cites W2018991254 @default.
- W4384662767 cites W2024218186 @default.
- W4384662767 cites W2037755177 @default.
- W4384662767 cites W2045705118 @default.
- W4384662767 cites W2060224295 @default.
- W4384662767 cites W2062136439 @default.
- W4384662767 cites W2076565921 @default.
- W4384662767 cites W2081004291 @default.
- W4384662767 cites W2083923543 @default.
- W4384662767 cites W2088190651 @default.
- W4384662767 cites W2099386544 @default.
- W4384662767 cites W2116325132 @default.
- W4384662767 cites W2119185132 @default.
- W4384662767 cites W2120582212 @default.
- W4384662767 cites W2125045100 @default.
- W4384662767 cites W2125145134 @default.
- W4384662767 cites W2128842649 @default.
- W4384662767 cites W2137197909 @default.
- W4384662767 cites W2148616640 @default.
- W4384662767 cites W2149628368 @default.
- W4384662767 cites W2159165123 @default.
- W4384662767 cites W2166859536 @default.
- W4384662767 cites W2167299310 @default.
- W4384662767 cites W2170193012 @default.
- W4384662767 cites W2232701919 @default.
- W4384662767 cites W2268421884 @default.
- W4384662767 cites W2311607085 @default.
- W4384662767 cites W2331604303 @default.
- W4384662767 cites W2470821327 @default.
- W4384662767 cites W2485705114 @default.
- W4384662767 cites W2504679746 @default.
- W4384662767 cites W2511822682 @default.
- W4384662767 cites W2519974261 @default.
- W4384662767 cites W2598581620 @default.
- W4384662767 cites W2623779865 @default.
- W4384662767 cites W2766505384 @default.
- W4384662767 cites W2783579881 @default.
- W4384662767 cites W2889335577 @default.
- W4384662767 cites W2912483755 @default.
- W4384662767 cites W2917415925 @default.
- W4384662767 cites W2920018355 @default.
- W4384662767 cites W2941540847 @default.
- W4384662767 cites W2964309167 @default.
- W4384662767 cites W2977128309 @default.
- W4384662767 cites W2984632664 @default.
- W4384662767 cites W3009936362 @default.
- W4384662767 cites W3031532441 @default.
- W4384662767 cites W3131571875 @default.
- W4384662767 cites W3139433464 @default.
- W4384662767 cites W3154387289 @default.
- W4384662767 cites W3188806548 @default.
- W4384662767 cites W3196715368 @default.
- W4384662767 cites W3200742808 @default.
- W4384662767 cites W3215948649 @default.
- W4384662767 cites W4229969541 @default.
- W4384662767 cites W4232488826 @default.
- W4384662767 cites W4236521339 @default.
- W4384662767 cites W4238089980 @default.
- W4384662767 cites W4241924379 @default.
- W4384662767 cites W4254114958 @default.
- W4384662767 cites W4308834247 @default.
- W4384662767 cites W4322769897 @default.
- W4384662767 cites W4324046630 @default.
- W4384662767 doi "https://doi.org/10.1080/10447318.2023.2231277" @default.
- W4384662767 hasPublicationYear "2023" @default.
- W4384662767 type Work @default.
- W4384662767 citedByCount "0" @default.
- W4384662767 crossrefType "journal-article" @default.
- W4384662767 hasAuthorship W4384662767A5003227858 @default.
- W4384662767 hasAuthorship W4384662767A5006886273 @default.
- W4384662767 hasAuthorship W4384662767A5077447365 @default.
- W4384662767 hasBestOaLocation W43846627671 @default.
- W4384662767 hasConcept C122980154 @default.
- W4384662767 hasConcept C136764020 @default.
- W4384662767 hasConcept C15744967 @default.
- W4384662767 hasConcept C158608086 @default.
- W4384662767 hasConcept C2778736484 @default.
- W4384662767 hasConcept C2779041454 @default.
- W4384662767 hasConcept C2779115301 @default.
- W4384662767 hasConcept C2779302386 @default.
- W4384662767 hasConcept C2779812673 @default.
- W4384662767 hasConcept C2779930795 @default.