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Auflistung nach Schlagwort "Voice Assistant"

1 - 4 von 4
  • Konferenzbeitrag
    A Speech-Based AI for Political Participation
    (Mensch und Computer 2022 - Tagungsband, 2022) Bräuer, Paula; Mazarakis, Athanasios
    This study presents a first experimental approach for the use of intelligent virtual assistants (IVA) to support political participation. In order to involve as many citizens as possible in participatory political processes, such as the search for a repository site for high-level radioactive waste, IVAs could offer a possibility to convey information in an interactive way and to arouse interest in such complex topics. However, the question arises whether an IVA can adequately convey such a topic and ensure appropriate usability despite many complex dialogues with the user. The explorative study presents the results with a prototypically implemented Amazon Alexa Skill. Compared to a website that addresses the same questions as the Skill, a slightly poorer usability was found. Based on this first study, various questions arose that need to be investigated in future studies. These include questions related to the trustworthiness of such applications and challenges related to the auditive representations of different political opinions.
  • Konferenzbeitrag
    Alexa, It’s Me! An Online Survey on the User Experience of Smart Speaker Authentication
    (Mensch und Computer 2022 - Tagungsband, 2022) Renz, Andreas; Baldauf, Matthias; Maier, Edith; Alt, Florian
    Verifying the identify of the speaker is a crucial requirement for security-critical voice-based services on smart speakers, such as transferring money or making online purchases. Whilst various studies have explored novel authentication mechanisms for voice based services, there is little research on the user experience of respective authentication methods. To address this gap, we conducted a comprehensive online survey (n=696). We compared five authentication methods (spoken PIN, biometrics, app with button/voice confirmation, card reader) regarding their perceived efficiency, security, ease of use, and error susceptibility. Additionally, we investigated users’ willingness to use security-critical services in banking and government. We found an overall preference to confirm actions triggered by voice by pressing a button on a mobile authentication app followed by PIN-based authentication. In contrast, biometric authentication by voice is considered unreliable, while applying a card reader is regarded secure, yet less convenient.
  • Konferenzbeitrag
    Demonstrating GRACE: Our Embodied Voice Assistant Providing Cognitive Interventions
    (Mensch und Computer 2024 - Workshopband, 2024) Vinay, Rasita; Tommila, Nora C.; Schlögl, Mathias; Klöppel, Stefan; Biller-Andorno, Nikola; Kowatsch, Tobias
    Our demo describes the development and interaction of our first prototype of GRACE, an embodied voice assistant. GRACE was designed to provide voice-based cognitive interventions to its users, and was first piloted with healthy adults in its current version. The body of GRACE, which was 3D printed, encases the internal components such as the Raspberry Pi, reSpeaker microphone, an AMOLED screen, and a bluetooth speaker. We utilized an open-source robotics platform and their simulation software for executing the script and commands for the voice interactions. A text-to-speech voice from ElevenLabs was used as the voice for GRACE. We were able to develop and design four activities, including two cognitive interactions based on cognitive stimulation therapy. The interaction consisted of an introductory warm-up activity, two cognitive interventions, and a concluding activity.
  • Konferenzbeitrag
    GRACE: Towards an Embodied Voice Assistant for Improving Quality of Life by Leveraging Elements of Cognitive Stimulation Therapy
    (Proceedings of Mensch und Computer 2024, 2024) Vinay, Rasita; Tommila, Nora Camilla; Schlögl, Mathias; Klöppel, Stefan; Biller-Andorno, Nikola; Kowatsch, Tobias
    Dementia is one the leading causes of death globally. Although currently no cure exists, there are multiple interventions aimed at improving the quality of life of people with dementia by leveraging elements of cognitive stimulation therapy. This work is the first of a several-year research agenda that investigates the feasibility and effectiveness of embodied voice assistants to deliver such interventions. We describe the development of the GRACE prototype based on an open-source social robotics platform. We expand its functionality by adding two intervention components of cognitive stimulation therapy and making the robot more interactive by integrating a public large language model. We also conduct a first evaluation with 11 healthy participants who assess perceived technology characteristics including working alliance, an important relationship quality, which is robustly linked to treatment success. Results indicate that GRACE was perceived positively. We conclude this short paper with suggestions for improvement and outline future work.