MOTIV

Project Description

Im vom Bayerischen Forschungsinstitut für Digitale Transformation (bidt) geförderten Projekt „MOTIV - Digital Interaction Literacy: Monitor, Training, and Visibility” (Projektwebsite) analysiert das interdisziplinäre Team die Interaktion mit sprachbasierten interaktiven Technologien und KI-Anwendungen und erfasst Nutzungsgewohnheiten sowie vorherrschende (Fehl-)Vorstellungen über die Systeme. Dabei wird die „digital interaction literacy“ als eine digitale Schlüsselkompetenz für einen selbstbestimmten, kompetenten Umgang mit digitalen Technologien erkannt. Mit Blick auf heterogene Gesellschaftsgruppen entwickelt MOTIV adaptive Trainingsmodule, um das Bewusstsein der unterschiedlichen Akteur*innen zu schärfen sowie Entwicklungspotentiale zu identifizieren und auszubauen.

MOTIV ist ein Gemeinschaftsprojekt zwischen Astrid Carolus (Medienpsychologie), Carolin Wienrich (Mensch-Technik-Systeme) und Andreas Hotho (Data Science) und hat eine Laufzeit von drei Jahren und wird mit ca. 760.000 Euro gefördert.

Zeitraum:	2020 - 2023
Fördergeber:	Bayerischen Forschungsinstitut für Digitale Transformation (bidt)

Staff

The following persons are involved in this project:

Publications

Here will be/ is a list of publications related to the project.

Long-Term Effects of Perceived Friendship with Intelligent Voice Assistants on Usage Behavior, User Experience, and Social Perceptions Wienrich, Carolin; Carolus, Astrid; Markus, André; Augustin, Yannik; Pfister, Jan; Hotho, Andreas in Computers (2023). 12(4)
- [ BibTeX ]
- [ URL ]
@article{wienrich2023longterm, abstract = {Social patterns and roles can develop when users talk to intelligent voice assistants (IVAs) daily. The current study investigates whether users assign different roles to devices and how this affects their usage behavior, user experience, and social perceptions. Since social roles take time to establish, we equipped 106 participants with Alexa or Google assistants and some smart home devices and observed their interactions for nine months. We analyzed diverse subjective (questionnaire) and objective data (interaction data). By combining social science and data science analyses, we identified two distinct clusters—users who assigned a friendship role to IVAs over time and users who did not. Interestingly, these clusters exhibited significant differences in their usage behavior, user experience, and social perceptions of the devices. For example, participants who assigned a role to IVAs attributed more friendship to them used them more frequently, reported more enjoyment during interactions, and perceived more empathy for IVAs. In addition, these users had distinct personal requirements, for example, they reported more loneliness. This study provides valuable insights into the role-specific effects and consequences of voice assistants. Recent developments in conversational language models such as ChatGPT suggest that the findings of this study could make an important contribution to the design of dialogic human–AI interactions.}, author = {Wienrich, Carolin and Carolus, Astrid and Markus, André and Augustin, Yannik and Pfister, Jan and Hotho, Andreas}, journal = {Computers}, keywords = {from:janpf}, number = 4, title = {Long-Term Effects of Perceived Friendship with Intelligent Voice Assistants on Usage Behavior, User Experience, and Social Perceptions}, volume = 12, year = 2023 }

Project Description

Staff

Publications

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