Human Computer Interaction, Artificial Intelligence and Intelligent Augmentation
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Paper Type
short
Paper Number
1885
Description
Owing to technological advancements in artificial intelligence, specifically natural language processing, voice assistants (VAs) offer a new modality for interacting with computers. Compared to formalized and deliberate text-based interaction, speech is more natural and intuitive. As companies offer customers the possibility of communicating with them via VAs, it is important to determine the kind of tasks for which this interaction modality is beneficial. Drawing on cognitive fit and task-technology fit theory, we present a research model for examining the fit between speech- and text-based interaction modalities and task characteristics. To test this model, we propose a mixed design laboratory experiment with interaction modality serving as between-subject factor and task type serving as within-subject factor. For this purpose, we developed a VA using DialogFlow and trained it in two pre-tests. The results of the experiment will extend theory on cognitive fit and provide practical insight regarding the applicability of speech.
Recommended Citation
Rzepka, Christine; Berger, Benedikt; and Hess, Thomas, "Is it a Match? Examining the Fit Between Conversational Interaction Modalities and Task Characteristics" (2020). ICIS 2020 Proceedings. 10.
https://aisel.aisnet.org/icis2020/hci_artintel/hci_artintel/10
Is it a Match? Examining the Fit Between Conversational Interaction Modalities and Task Characteristics
Owing to technological advancements in artificial intelligence, specifically natural language processing, voice assistants (VAs) offer a new modality for interacting with computers. Compared to formalized and deliberate text-based interaction, speech is more natural and intuitive. As companies offer customers the possibility of communicating with them via VAs, it is important to determine the kind of tasks for which this interaction modality is beneficial. Drawing on cognitive fit and task-technology fit theory, we present a research model for examining the fit between speech- and text-based interaction modalities and task characteristics. To test this model, we propose a mixed design laboratory experiment with interaction modality serving as between-subject factor and task type serving as within-subject factor. For this purpose, we developed a VA using DialogFlow and trained it in two pre-tests. The results of the experiment will extend theory on cognitive fit and provide practical insight regarding the applicability of speech.
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