Refine
Year of publication
Document Type
- Conference Proceeding (40)
- Part of a Book (11)
- Article (reviewed) (7)
- Article (unreviewed) (3)
- Book (2)
- Report (1)
Conference Type
- Konferenzartikel (39)
- Konferenz-Poster (1)
Is part of the Bibliography
- yes (64)
Keywords
- Gamification (18)
- Assistive Technology (9)
- Human Computer Interaction (7)
- Deafblindness (6)
- Roboter (6)
- Social Robots (6)
- Soziale Roboter (6)
- Wearables (5)
- Games (4)
- Human Resources (4)
Institute
- ACI - Affective and Cognitive Institute (64) (remove)
Open Access
- Closed Access (39)
- Open Access (18)
- Closed (4)
- Diamond (2)
- Bronze (1)
- Gold (1)
A Gamified and Adaptive Learning System for Neurodivergent Workers in Electronic Assembling Tasks
(2020)
Learning and work-oriented assistive systems are often designed to fit the workflow of neurotypical workers. Neurodivergent workers and individuals with learning disabilities often present cognitive and sensorimotor characteristics that are better accommodated with personalized learning and working processes. Therefore, we designed an adaptive learning system that combines an augmented interaction space with user-sensitive virtual assistance to support step-by-step guidance for neurodivergent workers in electronic assembling tasks. Gamified learning elements were also included in the interface to provide self-motivation and praise whenever users progress in their learning and work achievements.
The transition from college to university can have a variety of psychological effects on students who need to cope with daily obligations by themselves in a new setting, which can result in loneliness and social isolation. Mobile technology, specifically mental health apps (MHapps), have been seen as promising solutions to assist university students who are facing these problems, however, there is little evidence around this topic. My research investigates how a mobile app can be designed to reduce social isolation and loneliness among university students. The Noneliness app is being developed to this end; it aims to create social opportunities through a quest-based gamified system in a secure and collaborative network of local users. Initial evaluations with the target audience provided evidence on how an app should be designed for this purpose. These results are presented and how they helped me to plan the further steps to reach my research goals. The paper is presented at MobileHCI 2020 Doctoral Consortium.
Robots and automata are key elements of every vision and forecast of life in the near and distant future. However, robots and automata also have a long history, which reaches back into antiquity. Today most historians think that one of the key roles of robots and automata was to amaze or even terrify the audience: They were designed to express something mythical, magical, and not explainable. Moreover, the visions of robots and their envisioned fields of application reflect the different societies. Therefore, this short history of robotics and (especially) anthropomorphic automata aims to give an overview of several historical periods and their perspective on the topic. In a second step, this work aims to encourage readers to reflect on the recent discussion about fields of application as well as the role of robotics today and in the future.
In this article, we present a taxonomy in Robot-Assisted Training; a growing body of research in Human–Robot Interaction which focuses on how robotic agents and devices can be used to enhance user’s performance during a cognitive or physical training task. Robot-Assisted Training systems have been successfully deployed to enhance the effects of a training session in various contexts, i.e., rehabilitation systems, educational environments, vocational settings, etc. The proposed taxonomy suggests a set of categories and parameters that can be used to characterize such systems, considering the current research trends and needs for the design, development and evaluation of Robot-Assisted Training systems. To this end, we review recent works and applications in Robot-Assisted Training systems, as well as related taxonomies in Human–Robot Interaction. The goal is to identify and discuss open challenges, highlighting the different aspects of a Robot-Assisted Training system, considering both robot perception and behavior control.
This chapter portrays the historical and mathematical background of dynamic and procedural content generation (PCG). We portray and compare various PCG methods and analyze which mathematical approach is suited for typical applications in game design. In the next step, a structural overview of games applying PCG as well as types of PCG is presented. As abundant PCG content can be overwhelming, we discuss context-aware adaptation as a way to adapt the challenge to individual players’ requirements. Finally, we take a brief look at the future of PCG.
In pandemic times, the possibilities for conventional sports activities are severely limited; many sports facilities are closed or can only be used with restrictions. To counteract this lack of health activities and social exchange, people are increasingly adopting new digital sports solutions—a behavior change that had already started with the trend towards fitness apps and activity trackers. Existing research suggests that digital solutions increase the motivation to move and stay active. This work further investigates the potentials of digital sports incorporating the dimensions gender and preference for team sports versus individual sports. The study focuses on potential users, who were mostly younger professionals and academics. The results show that the SARS-CoV-19 pandemic had a significant negative impact on sports activity, particularly on persons preferring team sports. To compensate, most participants use more digital sports than before, and there is a positive correlation between the time spent physically active during the pandemic and the increase in motivation through digital sports. Nevertheless, there is still considerable skepticism regarding the potential of digital sports solutions to increase the motivation to do sports, increase performance, or raise a sense of team spirit when done in groups.
What emotional effects does gamification have on users who work or learn with repetitive tasks? In this work, we use biosignals to analyze these affective effects of gamification. After a brief discussion of related work, we describe the implementation of an assistive system augmenting work by projecting elements for guidance and gamification. We also show how this system can be extended to analyse users' emotions. In a user study, we analyse both biosignals (facial expressions and electrodermal activity), and regular performance measures (error rate and task completion time).
For the performance measures, the results confirm known effects like increased speed and slightly increased error rate. In addition, the analysis of the biosignals provides strong evidence for two major affective effects: the gamification of work and learning tasks incites highly significantly more positive emotions and increases emotionality altogether. The results add to the design of assistive systems, which are aware of the physical as well as the affective context.
Soziale Roboter, die mit uns kommunizieren und menschliche Verhaltensmuster imitieren, sind ein wichtiges Zukunftsthema. Während viele Arbeiten ihr Design und ihre Akzeptanz erforschen, gibt es bislang nur wenige Untersuchungen zu ihrer Marktfähigkeit. Der Schwerpunkt dieser Arbeit liegt auf dem Einsatz sozialer Roboter in den Bereichen Gesundheit und Pflege, wo die zukünftige Integration sozialer Roboter ein enormes Potenzial hat. Eine Studie mit 197 Personen aus Italien und Deutschland untersucht gewünschte Funktionalitäten und Kaufpräferenzen und berücksichtigt hierbei kulturelle Unterschiede. Dabei bestätigte sich die Wichtigkeit mehrerer Dimensionen des ALMERE-Modells (z. B. wahrgenommene Freude, Nützlichkeit und Vertrauenswürdigkeit). Die Akzeptanz korreliert stark mit der Investitionsbereitschaft. Viele ältere Personen betrachten soziale Roboter als „assistierende technische Geräte“ und erwarten, dass diese von Versicherungen und der öffentlichen Hand bezuschusst werden. Um ihren zukünftigen Einsatz zu erleichtern, sollten soziale Roboter in die Datenbanken medizinischer Hilfsmittel integriert werden.
Recent advances in motion recognition allow the development of Context-Aware Assistive Systems (CAAS) for industrial workplaces that go far beyond the state of the art: they can capture a user's movement in real-time and provide adequate feedback. Thus, CAAS can address important questions, like Which part is assembled next? Where do I fasten it? Did an error occur? Did I process the part in time? These new CAAS can also make use of projectors to display the feedback within the corresponding area on the workspace (in-situ). Furthermore, the real-time analysis of work processes allows the implementation of motivating elements (gamification) into the repetitive work routines that are common in manual production. In this chapter, the authors first describe the relevant backgrounds from industry, computer science, and psychology. They then briefly introduce a precedent implementation of CAAS and its inherent problems. The authors then provide a generic model of CAAS and finally present a revised and improved implementation.
Dieser Artikel gibt einen Überblick der Möglichkeiten kontextbewusster Systeme und erläutert, wie diese die Autonomie zugleich erweitern und begrenzen können. Anwendungsbeispiele wie autonomes Fahren, Rehabilitation, industrielle Arbeit und Robotik zeigen die technischen Möglichkeiten auf. Neben der Erkennung von räumlichen Details werden auch die Potenziale der Erkennung von Emotionen beschrieben. Dabei wird zugunsten der Allgemeinverständlichkeit auf eine tiefe technische Detaillierung verzichtet, zugleich aber auf die jeweils relevante Forschungsliteratur verweisen.
Brand identification has the potential of shaping individuals' attitudes, performance and commitment within learning and work contexts. We explore these effects, by incorporating elements of branded identification within gamified environments. We report a study with 44 employees, in which task performance and emotional outcomes are assessed in a real-world assembly scenario - namely, while performing a soldering task. Our results indicate that brand identification has a direct impact on individuals' attitude towards the task at hand: while instigating positive emotions, aversion and reactance also arise.
Well-designed and informative product presentations can support consumers in making purchase decisions. There are plenty of facts and details about a product of interest. However, also emotions are an important aspect for the purchase decision. The unique visualization opportunities of virtual reality (VR) can give users of VR applications the feeling of being there (telepresence). The applications can intensely engage them in a flow experience, comprising the four dimensions of enjoyment, curiosity, focused attention and control. In this work, we claim that VR product presentations can create subjective product experiences for consumers and motivate them to reuse this innovative type of product presentation in the future, by immersing them in a virtual world and causing them to interact with it. To verify the conceptual model a study was conducted with 551 participants who explored a VR hotel application. The results indicate that VR product presentations evoke positive emotions among consumers. The virtual experience made potential customers focus their attention on the virtual world and aroused their curiosity about getting more information about the product in an enjoyable way. In contrast to the theoretical assumption, control did not influence the users’ behavioral intentions to reuse VR product presentation. We conclude that VR product presentations create a feeling of telepresence, which leads to a flow experience that contributes to the behavioral intention of users to reuse VR product presentations in the future.
Co-Designing Assistive Tools to Support Social Interactions by Individuals Living with Deafblindness
(2020)
Deafblindness is a dual sensory impairment that affects many aspects of life, including mobility, access to information, communication, and social interactions. Furthermore, individuals living with deafblindness are under a high risk of social isolation. Therefore, we identified opportunities for applying assistive tools to support social interactions through co-ideation activities with members of the deafblind community. This work presents our co-design approach, lessons learned and directions for designing meaningful assistive tools for dual sensory loss.
With projectors and depth cameras getting cheaper, assistive systems in industrial manufacturing are becoming increasingly ubiquitous. As these systems are able to continuously provide feedback using in-situ projection, they are perfectly suited for supporting impaired workers in assembling products. However, so far little research has been conducted to understand the effects of projected instructions on impaired workers. In this paper, we identify common visualizations used by assistive systems for impaired workers and introduce a simple contour visualization. Through a user study with 64 impaired participants we compare the different visualizations to a control group using no visual feedback in a real world assembly scenario, i.e. assembling a clamp. Furthermore, we introduce a simplified version of the NASA-TLX questionnaire designed for impaired participants. The results reveal that the contour visualization is significantly better in perceived mental load and perceived performance of the participants. Further, participants made fewer errors and were able to assemble the clamp faster using the contour visualization compared to a video visualization, a pictorial visualization and a control group using no visual feedback.
The number of impaired persons rises -- as a result of both regular degradation with age and psychological problems like burnout. Sheltered work organizations aim to reintegrate impaired persons into work environments and prepare them for the re-entry in the regular job market.
Both for elderly and for impaired persons it is crucial to quickly assess the abilities, to identify limits and potentials and thus find work processes suitable for their skill profile.
This work focuses on the analysis and comparison of software-tools that assess the abilities of persons with impairments. We describe two established generic tools (CANTAB, Cogstate), analyze a yet unknown specialized tool (Hamet) and present a new gamified tool (GATRAS).
Finally, we present a study with 20 participants with impairments, comparing the tools against a ground truth baseline generated by a real-world assembly task.
Defining Recrutainment: A Model and a Survey on the Gamification of Recruiting and Human Resources
(2017)
Recrutainment, is a hybrid word combining recruiting and entertainment. It describes the combination of activities in human resources and gamification. Concepts and methods from game design are now used to assess and select future employees. Beyond this area, recrutainment is also applied for internal processes like professional development or even marketing campaigns. This paper’s contribution has four components: (1) we provide a conceptual background, leading to a more precise definition of recrutainment; (2) we develop a new model for analyzing solutions in recrutainment; (3) we present a corpus of 42 applications and use the new model to assess their strengths and potentials; (4) we provide a bird’s eye view on the state of the art in recrutainment and show the current weighting of gamification and recruiting aspects.
Design approaches for the gamification of production environments: a study focusing on acceptance
(2015)
Gamification is an ever more popular method to increase motivation and user experience in real-world settings. It is widely used in the areas of marketing, health and education. However, in production environments, it is a new concept. To be accepted in the industrial domain, it has to be seamlessly integrated in the regular work processes.
In this work we make the following contributions to the field of gamification in production: (1) we analyze the state of the art and introduce domain-specific requirements; (2) we present two implementations gamifying production based on alternative design approaches; (3) these are evaluated in a sheltered work organization. The comparative study focuses acceptance, motivation and perceived happiness.
The results reveal that a pyramid design showing each work process as a step on the way towards a cup at the top is strongly preferred to a more abstract approach where the processes are represented by a single circle and two bars.
We present the design outline of a context-aware interactive system for smart learning in the STEM curriculum (science, technology, engineering, and mathematics). It is based on a gameful design approach and enables "playful coached learning" (PCL): a learning process enriched by gamification but also close to the learner's activities and emotional setting. After a brief introduction on related work, we describe the technological setup, the integration of projected visual feedback and the use of object and motion recognition to interpret the learner's actions. We explain how this combination enables rapid feedback and why this is particularly important for correct habit formation in practical skills training. In a second step, we discuss gamification methods and analyze which are best suited for the PCL system. Finally, emotion recognition, a major element of the final PCL design not yet implemented, is briefly outlined.
Designing Authentic Emotions for Non-Human Characters. A Study Evaluating Virtual Affective Behavior
(2017)
While human emotions have been researched for decades, designing authentic emotional behavior for non-human characters has received less attention. However, virtual behavior not only affects game design, but also allows creating authentic avatars or robotic companions. After a discussion of methods to model and recognize emotions, we present three characters with a decreasing level of human features and describe how established design techniques can be adapted for such characters. In a study, 220 participants assess these characters' emotional behavior, focusing on the emotion "anger". We want to determine how reliable users can recognize emotional behavior, if characters increasingly do not look and behave like humans. A secondary aim is determining if gender has an impact on the competence in emotion recognition. The findings indicate that there is an area of insecure attribution of virtual affective behavior not distant but close to human behavior. We also found that at least for anger, men and women assess emotional behavior equally well.