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Konferenzveröffentlichung
Gestaltung smarter persönlicher Assistenten zwischen Rechtsverträglichkeit und Dienstleistungsqualität
(Gesellschaft für Informatik e.V. (GI), 2019)
Smarte persönliche Assistenten von Amazon, Google und zahlreichen anderen Anbietern ermöglichen es, qualitativ hochwertige elektronische Dienstleistungen anzubieten. Gleichzeitig bringen diese Systeme auch viele Risiken mit sich. Berichte von diskriminierenden oder unverständlichem Systemverhalten häufen sich und verursachen Skepsis in der Gesellschaft. Diesen Problemen kann mit einer gleichermaßen rechtsverträglichen und qualitätsorientierten ITGestaltung entgegengewirkt werden. In diesem Beitrag werden Rechtsvert ...
Konferenzveröffentlichung
Alexa, Can You Help Me Solve That Problem? - Understanding the Value of Smart Personal Assistants as Tutors for Complex Problem Tasks
(universi - Universitätsverlag Siegen, 2019)
In recent decades, the number of students per lecturer at universities has constantly risen. In these learning scenarios, individual lecturer support for helping students actively acquiring new knowledge is hardly possible. However, active student behavior is necessary for successful learning. Smart Personal Assistants such as Amazon’s Alexa or Google’s Home promise to fill this gap by being students’ individual tutors. In order to understand what students expect from Smart Personal Assistants as tutors and how they ...
Dissertation
Crowd-Based Entrepreneurship
(2020)
The aim of this dissertation is to explore the innovation potential of crowdsourcing for entrepreneurship. The main focus is to discover how crowd-based infrastructures (i. e., crowdsourcing platforms and crowdfunding platforms) can support entrepreneurs in their innovation activities and how this new paradigm can be used to generate value for customers as well as actors of entrepreneurial ecosystems. The results of the dissertation show that crowdsourcing offers numerous opportunities to support entrepreneurs in ...
Konferenzveröffentlichung
Designing a Conversational Agent as a Formative Course Evaluation Tool
(GITO Verlag, 2020)
Today’s graduating students face ever-changing environments when they enter their job life. Educational institutions must therefore continuously develop their course structure and content in order to prepare their students to be future employees. A very important means for developing the courses is the students’ course evaluations. Due to financial and organizational restrictions, these course evaluations are usually carried out quantitatively and at the end of the semester. However, past research has shown that this ...
Konferenzveröffentlichung
A Conversational Agent to Improve Response Quality in Course Evaluations
(Association for Computing Machinery, 2020)
Recent advances in Natural Language Processing (NLP) bear the opportunity to design new forms of human-computer interaction with conversational interfaces. We hypothesize that these interfaces can interactively engage students to increase response quality of course evaluations in education compared to the common standard of web surveys. Past research indicates that web surveys come with disadvantages, such as poor response quality caused by inattention, survey fatigue or satisficing behavior. To test if conversational ...
Konferenzveröffentlichung
Unleashing the Potential of Conversational Agents for Course Evaluations: Empirical Insights from a Comparison with Web Surveys
(Association for Information Systems, 2020)
Recent advances in Natural Language Processing (NLP) bear the opportunity to design new forms of human-computer interaction with conversational interfaces. However, little is known about how these interfaces change the way users respond in online course evaluations. We aim to explore the effects of conversational agents (CAs) on the response quality of online course evaluations in education compared to the common standard of web surveys. Past research indicates that web surveys come with disadvantages, such as poor ...
Konferenzveröffentlichung
SPAM – A Process Model for Developing Smart Personal Assistants
(ScholarSpace, 2020)
Information technology capabilities are growing at an impressive pace and increasingly overstrain the cognitive abilities of users. User assistance systems such as online manuals try to help the user in handling these systems. However, there is strong evidence that traditional user assistance systems are not as effective as intended. With the rise of smart personal assistants, such as Amazon’s Alexa, user assistance systems are becoming more sophisticated by offering a higher degree of interaction and intelligence. ...
Konferenzveröffentlichung
Alexa, Can You Help Us Solve This Problem? How Conversations With Smart Personal Assistant Tutors Increase Task Group Outcomes
(Association for Computing Machinery, 2019)
Despite a growing body of research about the design and use of Smart Personal Assistants, existing work has mainly focused on their use as task support for individual users in rather simple problem scenarios. Less is known about their ability to improve collaboration among multiple users in more complex problem settings. In our study, we directly compare 21 groups who either use a Smart Personal Assistant tutor or a human tutor when solving a problem task. The results indicate that groups interacting with Smart ...
Aufsatz
Process is King: Evaluating the Performance of Technology-mediated Learning in Vocational Software Training
(2018-09-01)
Technology-mediated learning (TML) is a major trend in education, since it allows to integrate the strengths of traditional- and IT-based learning activities. However, TML providers still struggle in identifying areas for improvement in their TML offerings. One reason for their struggles is inconsistencies in the literature regarding drivers of TML performance. Prior research suggests that these inconsistencies in TML literature might stem from neglecting the importance of considering the process perspective in ...
Aufsatz
Machines as teammates: A research agenda on AI in team collaboration
(2019-07-06)
What if artificial intelligence (AI) machines became teammates rather than tools? This paper reports on an international initiative by 65 collaboration scientists to develop a research agenda for exploring the potential risks and benefits of machines as teammates (MaT). They generated 819 research questions. A subteam of 12 converged them to a research agenda comprising three design areas – Machine artifact, Collaboration, and Institution – and 17 dualities – significant effects with the potential for benefit or harm. ...