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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 ...
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
Classifying Smart Personal Assistants: An Empirical Cluster Analysis
(University of Hawaii at Manoa, Hamilton Library, ScholarSpace, 2019)
The digital age has yielded systems that increasingly reduce the complexity of our everyday lives. As such, smart personal assistants such as Amazon’s Alexa or Apple’s Siri combine the comfort of intuitive natural language interaction with the utility of personalized and situation-dependent information and service provision. However, research on SPAs is becoming increasingly complex and opaque. To reduce complexity, this paper introduces a classification system for SPAs. Based on a systematic literature review, a ...
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 ...
Konferenzveröffentlichung
Insights into Using IT-Based Peer Feedback to Practice the Students Providing Feedback Skill
(University of Hawaii at Manoa, Hamilton Library, ScholarSpace, 2019)
The skills students need nowadays have changed over the last decades. The required skills are shifting more and more towards higher order thinking skills, such as critical thinking, collaboration and communication. One of the main ways of practicing these skills is through formative feedback, which consists of self-assessment and peer-assessment in our setting.
However, today’s lecturers are facing the challenge that the number of students per lecture is continuously increasing, while the available budget is stagnating. ...
Konferenzveröffentlichung
Towards Empowering Educators to Create their own Smart Personal Assistants
(ScholarSpace, 2020)
Despite a growing body of research about the design and use of Smart Personal Assistants such as Amazon’s Alexa or Google’s Assistant, little is known about their ability to help educators offering individual support in large-scale learning environments. Smart Personal Assistant ecosystems empower educators to develop their own agents without deep technological knowledge. The objective of this paper is to design and validate a method that helps educators to create Smart Personal Assistants as learning tutors. Using ...
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. ...
Aufsatz
Why different trust relationships matter for information systems users
(2015-12-08)
Technology acceptance research has shown that trust is an important factor fostering use of information systems (IS). As a result, numerous IS researchers have studied factors that build trust in IS. However, IS research on trust has mainly focused on the trust relationship between the user and the IS itself, largely neglecting that other targets of trust might also drive IS use from a user’s point of view. Accordingly, we investigate the importance of different targets of trust in IS use. Therefore, we use the concept ...
Konferenzveröffentlichung
Towards a Technique for Modeling New Forms of Collaborative Work Practices – The Facilitation Process Model 2.0
(University of Hawaii at Manoa, Hamilton Library, ScholarSpace, 2020)
Collaboration Engineering (CE) is an approach for the design and deployment of repeatable collaborative work practices that can be executed by practitioners themselves without the ongoing support of external collaboration professionals. A key design activity in CE concerns modeling current and future collaborative work practices. CE researchers and practitioners have used the Facilitation Process Model (FPM) technique. However, this modeling technique suffers from a number of shortcomings to model contemporary ...
Aufsatz
A comparison of individual and group behavior in a competition with cheating opportunities
(2020)
While it is well established that individuals and groups make different economic decisions, the reasons for the behavioral differences are still not fully understood. We experimentally compare individual and group behavior in a competitive setting where cheating can be used to outperform the competitor. Our design allows us to exogenously control for the type of the decision maker, the type of the competitor, and whether the competitor is able to cheat or not. The results show that there is much more cheating in ...