MOTIV

Im vom Bayerischen Forschungsinstitut für Digitale Transformation (bidt) geförderten Projekt „MOTIV - Digital Interaction Literacy: Monitor, Training, and Visibility” 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 (Psychology of Intelligent Interactive Systems) 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)
Kooperation:	Dr. Astrid Carolus, Prof. Dr. Andreas Hotho
Projektmitarbeiter:	André Markus, Jan Pfister, Yannik Augustin

Publications

2021[ to top ]

The Trustworthiness of Voice Assistants in the Context of Healthcare Investigating the Effect of Perceived Expertise on the Trustworthiness of Voice Assistants, Providers, Data Receivers, and Automatic Speech Recognition Wienrich, Carolin; Reitelbach, Clemens; Carolus, Astrid in Frontiers in Computer Science. Human-Media Interaction. Special Issue: Towards Omnipresent and Smart Speech Assistants (2021). 3
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@article{Wienrich_2021, author = {Wienrich, Carolin and Reitelbach, Clemens and Carolus, Astrid}, journal = {Frontiers in Computer Science. Human-Media Interaction. Special Issue: Towards Omnipresent and Smart Speech Assistants}, keywords = {motiv}, month = {jun}, publisher = {Frontiers Media {SA}}, title = {The Trustworthiness of Voice Assistants in the Context of Healthcare Investigating the Effect of Perceived Expertise on the Trustworthiness of Voice Assistants, Providers, Data Receivers, and Automatic Speech Recognition}, volume = 3, year = 2021 }
`Alexa, I feel for you!’ Observers’ Empathetic Reactions towards a Conversational Agent Carolus, Astrid; Wienrich, Carolin; Törke, Anna; Friedel, Tobias; Schwietering, Christian; Sperzel, Mareike in Frontiers in Computer Science. Human-Media Interaction. Special Issue: Towards Omnipresent and Smart Speech Assistants (2021). 3
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@article{Carolus_2021, author = {Carolus, Astrid and Wienrich, Carolin and Törke, Anna and Friedel, Tobias and Schwietering, Christian and Sperzel, Mareike}, journal = {Frontiers in Computer Science. Human-Media Interaction. Special Issue: Towards Omnipresent and Smart Speech Assistants}, keywords = {t.friedel}, month = {may}, publisher = {Frontiers Media {SA}}, title = {`Alexa, I feel for you!' Observers' Empathetic Reactions towards a Conversational Agent}, volume = 3, year = 2021 }
Development of an Instrument to Measure Conceptualizations and Competencies About Conversational Agents on the Example of Smart Speakers Wienrich, Carolin; Carolus, Astrid in Frontiers in Computer Science. Human-Media Interaction. Special Issue: Towards Omnipresent and Smart Speech Assistants (2021).
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The concept of digital literacy has been introduced as a new cultural technique, which is regarded as essential for successful participation in a (future) digitized world. Regarding the increasing importance of AI, literacy concepts need to be extended to account for AI-related specifics. Particularly, when considering that AI systems, such as (voice-based) conversational agents, are characterized by low user requirements and omnipresence. The easy handling of the systems results in increased usage, contrasting limited knowledge, fundamental misconceptions, false expectations, or misuse conceptualizations (e.g., imagination of future importance) and competencies (e.g., knowledge about functional principles). In reference to voice-based conversational agents as a concrete application of AI, the present paper aims for the development of a measurement to assess the conceptualizations and competencies about conversational agents. In a first step, a theoretical framework of "AI literacy" is transferred to the context of conversational agent literacy. Second, the "conversational agent literacy scale" (short CALS) is developed, constituting the first attempt to measure interindividual differences in the "(il)literate" usage of conversational agents. 29 items were derived, of which 170 participants answered. An explanatory factor analysis identified five factors leading to five subscales to assess CAL: storage and transfer of the smart speaker’s data input; smart speaker’s functional principles; smart speaker’s intelligent functions, learning abilities; smart speaker’s reach and potential; smart speaker’s technological (surrounding) infrastructure. Preliminary insights into construct validity and reliability of CALS showed satisfying results. Third, using the newly developed instrument, a student sample's CAL was assessed, revealing intermediated values. Remarkably, owning a smart speaker did not lead to higher CAL scores, confirming our basic assumption that usage of systems does not guarantee enlightened conceptualizations and competencies. In sum, the paper contributes to the first insights into the operationalization and understanding of CAL as a specific subdomain of AI-related competencies.

@article{wienrich2021development, abstract = {The concept of digital literacy has been introduced as a new cultural technique, which is regarded as essential for successful participation in a (future) digitized world. Regarding the increasing importance of AI, literacy concepts need to be extended to account for AI-related specifics. Particularly, when considering that AI systems, such as (voice-based) conversational agents, are characterized by low user requirements and omnipresence. The easy handling of the systems results in increased usage, contrasting limited knowledge, fundamental misconceptions, false expectations, or misuse conceptualizations (e.g., imagination of future importance) and competencies (e.g., knowledge about functional principles). In reference to voice-based conversational agents as a concrete application of AI, the present paper aims for the development of a measurement to assess the conceptualizations and competencies about conversational agents. In a first step, a theoretical framework of "AI literacy" is transferred to the context of conversational agent literacy. Second, the "conversational agent literacy scale" (short CALS) is developed, constituting the first attempt to measure interindividual differences in the "(il)literate" usage of conversational agents. 29 items were derived, of which 170 participants answered. An explanatory factor analysis identified five factors leading to five subscales to assess CAL: storage and transfer of the smart speaker’s data input; smart speaker’s functional principles; smart speaker’s intelligent functions, learning abilities; smart speaker’s reach and potential; smart speaker’s technological (surrounding) infrastructure. Preliminary insights into construct validity and reliability of CALS showed satisfying results. Third, using the newly developed instrument, a student sample's CAL was assessed, revealing intermediated values. Remarkably, owning a smart speaker did not lead to higher CAL scores, confirming our basic assumption that usage of systems does not guarantee enlightened conceptualizations and competencies. In sum, the paper contributes to the first insights into the operationalization and understanding of CAL as a specific subdomain of AI-related competencies.}, author = {Wienrich, Carolin and Carolus, Astrid}, journal = {Frontiers in Computer Science. Human-Media Interaction. Special Issue: Towards Omnipresent and Smart Speech Assistants}, keywords = {motiv}, publisher = {Frontiers}, title = {Development of an Instrument to Measure Conceptualizations and Competencies About Conversational Agents on the Example of Smart Speakers}, type = {article}, year = 2021 }
1st AI-DEbate Workshop : workshop establishing An InterDisciplinary pErspective on speech-BAsed TEchnology Carolus, Astrid; Wienrich, Carolin A. Carolus, I. Siebert, C. Wienrich (reds.) (2021). (1st ed) 1–42.
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@inbook{carolus2021aidebate, address = {Magdeburg, Germany}, author = {Carolus, Astrid and Wienrich, Carolin}, chapter = {Towards a holistic approach and measurement of humans interacting with speech-based technology}, edition = 1, editor = {Carolus, Astrid and Siebert, Ingo and Wienrich, Carolin}, keywords = {motiv}, pages = {1–42}, publisher = {Otto von Guericke University Magdeburg}, title = {1st AI-DEbate Workshop : workshop establishing An InterDisciplinary pErspective on speech-BAsed TEchnology}, year = 2021 }

2020[ to top ]

Move\&Find: The value of kinesthetic experience in a casual data representation Hurtienne, Jorn; Maas, Franzisca; Carolus, Astrid; Reinhardt, Daniel; Baur, Cordula; Wienrich, Carolin in IEEE Computer Graphics and Applications (2020). 40(6) 61–75.
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@article{hurtienne2020move, author = {Hurtienne, Jorn and Maas, Franzisca and Carolus, Astrid and Reinhardt, Daniel and Baur, Cordula and Wienrich, Carolin}, journal = {IEEE Computer Graphics and Applications}, keywords = {motiv}, number = 6, pages = {61-75}, publisher = {IEEE}, title = {Move\&Find: The value of kinesthetic experience in a casual data representation}, volume = 40, year = 2020 }
“Respecting Alexa’s “Feelings” - Effects of Politeness and Impoliteness on the Evaluation of Conversational Agents Carolus, Astrid; Wienrich, Carolin (2020).
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@inproceedings{inproceedings, author = {Carolus, Astrid and Wienrich, Carolin}, keywords = {motiv}, month = {05}, title = {“Respecting Alexa's “Feelings” - Effects of Politeness and Impoliteness on the Evaluation of Conversational Agents}, year = 2020 }

2019[ to top ]

A Systematic View on Speech Assistants for Service Technicians. Baumeister, Joachim; Sehne, Veronika; Wienrich, Carolin in Proceedings of LWDA - Lernen. Wissen. Daten. Analysen 2019 (2019). 195–206.
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@inproceedings{baumeister2019systematic, author = {Baumeister, Joachim and Sehne, Veronika and Wienrich, Carolin}, booktitle = {Proceedings of LWDA - Lernen. Wissen. Daten. Analysen 2019}, keywords = {v.sehne}, pages = {195-206}, title = {A Systematic View on Speech Assistants for Service Technicians.}, year = 2019 }

MOTIV

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