
Andreas M. Klein- Ph.D.
- Lecturer / Researcher at University of Applied Sciences Emden/Leer
Andreas M. Klein
- Ph.D.
- Lecturer / Researcher at University of Applied Sciences Emden/Leer
Voice user interface (VUI) evaluation
About
30
Publications
12,451
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219
Citations
Introduction
Andreas M. Klein is a lecturer and research assistant in the Faculty of Technology at the University of Applied Sciences Emden-Leer, Germany. He completed his dissertation in the Department of Computer Languages and Systems at the University of Seville, Spain, in November 2024. The research focus is voice user interface (VUI) evaluation.
Skills and Expertise
Current institution
University of Applied Sciences Emden/Leer
Current position
- Lecturer / Researcher
Publications
Publications (30)
Protocol for Exploring Voice User Interface Similarities and Differences in Context of Use: A Survey and ChatGPT Analysis Version 03 / 2025
Protocol for Exploring Voice User Interface Similarities and Differences in Context of Use by a Survey and ChatGPT Analysis
Version 02 / 2025
Protocol for Validation of the UEQ+ Scales for Voice Quality
Version 03 / 2025
Voice user interfaces (VUIs) such as Amazon Alexa, Apple Siri, and Google Assistant are widely used, readily available, and seamlessly integrated into everyday life. They have become more intelligent due to recent advances in artifcial intelligence, which provides new methods of processing contextual information. Despite their widespread use and re...
(Invited talk) https://itg-sprachassistenz-24.mobileds.de/#home
Protocol of Prolific data collection of Alexa/Siri/Google Assistant evaluation in the UK/USA with UEQ+ Scales for Voice Quality
Voice user interface (VUI) evaluation often focuses on user experience (UX) quality measurement of UX aspects for VUIs. However, it is crucial to differ among these UX aspects concerning their relevance to specific target groups, like different usage contexts, or user characteristics such as age. Therefore, we identified potential age-specific char...
Voice user interface (VUI) systems, such as Alexa, Siri, and Google Assistant, are popular and widely available. Still, challenges such as privacy and the ability to have a dialog remain. In the latter example, the user expects a human‐like conversation, that is, that the VUI understands the dialog and its context. However, this VUI feature of cont...
Protocol for Exploring the context of use for voice user interfaces: Towards context-dependent user experience quality testing
Version 3.0 / 2023
Although voice user interfaces (VUIs) are widely available, they currently face challenges such as low adoption rates and user concerns. Users assess products through user experience (UX) aspects. Thus, knowing UX aspects for VUIs and their prioritization will improve UX and reduce challenges. In this study, we use a user-centered mixed-methods app...
Voice user interfaces (VUI) come in various forms of software or hardware, are controlled by voice, and can help the user in their daily life. Despite VUIs being readily available on smartphones, they have a low adoption rate. This can be attributed to challenges such as the misunderstanding of voice commands as well as privacy and data security co...
Voice user interfaces (VUI) come in various forms of software or hardware, are controlled by voice, and can help the user in their daily life. Despite VUIs being readily available on smartphones, they have a low adoption rate. This can be attributed to challenges such as the misunderstanding of voice commands as well as privacy and data security co...
Voice User Interfaces (VUIs) are becoming increasingly available while users raise, e.g., concerns about privacy issues. User Experience (UX) helps in the design and evaluation of VUIs with focus on the user. Knowledge of the relevant UX aspects for VUIs is needed to understand the user’s point of view when developing such systems. Known UX aspects...
Virtuellen digitalen Assistenten (VAs) wird weltweit ein enormes Wachstum bei Unternehmensanwendungen vorausgesagt. Eine Form von VAs sind Sprachassistenten, welche in vielen Geräten und Systemen integriert sind (z.B. Smartphones). VA-Qualitätskriterien, wie korrekte Befehlsausführung, Sprachverständlichkeit und der Datenschutz, sind gleichzeitig H...
Currently, voice assistants (VAs) are trendy and highly available. The VA adoption rate of internet users differs among European countries and also in the global view. Due to speech intelligibility and privacy concerns, using VAs is challenging. Additionally, user experience (UX) assessment methods and VA improvement possibilities are still missing...
Protocol for Comparing Voice Assistant Risks and Potential with Technology-Based Users: A
Study from Germany and Spain. Version 3.0 / 2021.
Voice user interfaces (VUI) are currently a trending topic but the ability to measure and improve the user experience (UX) is still missing. We aim to develop a tool selector as a web application that can provide a suitable tool to measure UX quality of VUIs. The UX tool selector for VUIs will include a UX measurement toolbox containing several exi...
Präsentation zum World Usability Day in Osnabrück am 12.11.2020
Voice user interfaces (VUIs) or voice assistants (VAs) such as Google Home or Google Assistant (Google), Cortana (Mircosoft), Siri (Apple) or Alexa (Amazon) are highly available in the consumer sector and present a smart home trend. Still, the acceptance seems to be culture-dependent, while the syntax of communication poses a challenge. So, there a...
Protocol for Exploring Voice Assistant Risks and Potential With Technology-based Users
Version 2.0 / 2020
The UEQ+ is a modular framework for the construction of UX questionnaires. The researcher can pick those scales that fit his or her research question from a list of 16 available UX scales. Currently, no UEQ+ scales are available to allow measuring the quality of voice interactions. Given that this type of interaction is increasingly essential for t...
Klein, A. M., Hinderks, A. Schrepp, M. and Thomaschewski, J., (2020) describe the construction of three scales to measure UX aspects specific to voice systems and how these can be used in the UEQ+ framework (Schrepp & Thomaschewski, 2019) to measure UX of such systems. This research report gives detailed information about data analysis done for VUI...