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Die Rehabilitation von Gangstörungen bei Patienten mit MS und Schlaganfall erfolgt häufig mithilfe eines konventionellen Laufbandtrainings. Einige Studien haben bereits gezeigt, dass durch eine Erweiterung dieses Trainings um eine virtuelle Realität die Motivation der Patienten gesteigert und die Therapieergebnisse verbessert werden können.
In der vorliegenden Studie wurde eine immersive VR-Anwendung (unter Verwendung eines HMD) für die Gangrehabilitation von Patienten evaluiert. Hierbei wurden ihre Anwendbarkeit und Akzeptanz geprüft sowie ihre Kurzzeiteffekte mit einer semi-immersiven Präsentation (unter Verwendung eines Monitors) und mit einem konventionellen Laufbandtraining ohne VR verglichen. Der Fokus lag insbesondere auf der Untersuchung der Anwendbarkeit beider Systeme und der Auswirkungen auf die Laufgeschwindigkeit und Motivation der Benutzer.
Im Rahmen einer Studie mit Innersubjekt-Design nahmen zunächst 36 gesunde Teilnehmer und anschließend 14 Patienten mit MS oder Schlaganfall an drei experimentellen Bedingungen (VR über HMD, VR über Monitor, Laufbandtraining ohne VR) teil.
Sowohl in der Studie mit gesunden Teilnehmern als auch in der Patientenstudie zeigte sich in der HMD-Bedingung eine höhere Laufgeschwindigkeit als beim Laufbandtraining ohne VR und in der Monitor-Bedingung. Die gesunden Studienteilnehmer berichteten über eine höhere Motivation nach der HMD-Bedingung als nach den anderen Bedingungen. Es traten in beiden Gruppen keine Nebenwirkungen im Sinne einer Simulator Sickness auf und es wurden auch keine Erhöhungen der Herzfrequenzen nach den VR-Bedingungen detektiert. Die Bewertungen des Präsenzerlebens waren in beiden Gruppen in der HMD-Bedingung höher als in der Monitor-Bedingung. Beide VR-Bedingungen erhielten hohe Bewertungen für die Benutzerfreundlichkeit. Die meisten der gesunden Teilnehmer (89 %) und Patienten (71 %) präferierten das HMD-basierte Laufbandtraining unter den drei Trainingsformen und die meisten Patienten könnten sich vorstellen, es häufiger zu nutzen.
Mit der vorliegenden Studie wurde eine strukturierte Evaluation der Anwendbarkeit eines immersiven VR-Systems für die Gangrehabilitation geprüft und dieses erstmals in den direkten Vergleich zu einem semi-immersiven System und einem konventionellen Training ohne VR gesetzt. Die Studie bestätigte die Praktikabilität der Kombination eines Laufbandtrainings mit immersiver VR. Aufgrund ihrer hohen Benutzerfreundlichkeit und der geringen Nebenwirkungen scheint diese Trainingsform besonders für Patienten geeignet zu sein, um deren Trainingsmotivation und Trainingserfolge, wie z. B. die Laufgeschwindigkeit, zu steigern. Da immersive VR-Systeme allerdings nach wie vor spezifische technische Installationsprozeduren erfordern, sollte für die spezifische klinische Anwendung eine Kosten-Nutzen-Bewertung erfolgen.
Emotional shifts are often a fundamental part of the narrative experience and engrained into the schematic structures of stories. Recent theoretical work suggests that these shifts are key for narrative influence and are interconnected with transportation, a known mechanism of narrative effects. Empirical research examining this proposition is still scarce, inconclusive, and lacking measures that assess the experience of emotional shifts throughout a narrative to explain effects. This thesis aims to contribute to this research lacuna and investigates the link between emotional shifts, transportation, and story-consistent outcomes using different methods to measure emotional shifts in the moment they occur (Manuscript #1 and #2), and using various narrative stimuli (audiovisual, written, auditive).
Manuscript #1 uses real-time-response (RTR) measurement to examine the relationship of valence shifts experienced during film viewing with transportation and post-exposure self-reported emotional flow. Manuscript #2 reports a pilot study and two experiments in which a self-probed emotional retrospection task is used to measure the number and intensity of emotional shifts during reading. I investigate the effect of reviews on transportation, the link between transportation and emotional shifts, and their respective associations with story-consistent attitudes, social sharing intentions, and donation behavior. In Manuscript #3, narrative structures are manipulated. Two experiments examine the effects of audio stories with shifting (positive-negative-positive) vs. positive-only emotional trajectories on the experience of happiness- and sadness-shifts, transportation, and post-exposure emotional flow.
Transportation was positively linked to valence shifts (M#1), and the number and intensity of emotional shifts (M#2), and emotional flow (M#1, M#3). In M#3, transportation was predicted by shifts in happiness, but not sadness. Emotional flow was linked to shifts in happiness, sadness, and RTR valence (M#1, M#3). Emotional shifts and transportation were associated with social sharing intentions, but only transportation was linked to some story-consistent attitudes (affective attitudes in particular).
Few topics have been the subject of more controversy than those encapsulated by the terms "sex" and "gender". Social-cultural and biological-evolutionary argumentation patterns frequently clash and especially the public debate appears to be stuck in a stalemate between the two competing parties.
From a psychological perspective both topics appear deeply intertwined and are not easy to be separated. This study pursues an integrative approach to better understand the roots of differences best subsumed under the term sex/gender. It will become apparent that both nature and nurture variables interact and form the complex system of human behavior and experience.
The field of human-computer interaction (HCI) strives for innovative user interfaces. Innovative and novel user interfaces are a challenge for a growing population of older users and endanger older adults to be excluded from an increasingly digital world. This is because older adults often have lower cognitive abilities and little prior experiences with technology.
This thesis aims at resolving the tension between innovation and age-inclusiveness by developing user interfaces that can be used regardless of cognitive abilities and technology-dependent prior knowledge.
The method of image-schematic metaphors holds promises for innovative and age-inclusive interaction design. Image-schematic metaphors represent a form of technology-independent prior knowledge. They reveal basic mental models and can be gathered in language (e.g. bank account is container from "I put money into my bank account").
Based on a discussion of previous applications of image-schematic metaphors in HCI, the present work derives three empirical research questions regarding image-schematic metaphors for innovative and age-inclusive interaction design.
The first research question addresses the yet untested assumption that younger and older adults overlap in their technology-independent prior knowledge and, therefore, their usage of image-schematic metaphors. In study 1, a total of 41 participants described abstract concepts from the domains of online banking and everyday life. In study 2, ten contextual interviews were conducted. In both studies, younger and older adults showed a substantial overlap of 70% to 75%, indicating that also their mental models overlap substantially.
The second research question addresses the applicability and potential of image-schematic metaphors for innovative design from the perspective of designers. In study 3, 18 student design teams completed an ideation process with either an affinity diagram as the industry standard, image-schematic metaphors or both methods in combination and created paper prototypes. The image-schematic metaphor method alone, but not the combination of both methods, was readily adopted and applied just as a well as the more familiar standard method.
In study 4, professional interaction designers created prototypes either with or without image-schematic metaphors. In both studies, the method of image-schematic metaphors was perceived as applicable and creativity stimulating.
The third research question addresses whether designs that explicitly follow image-schematic metaphors are more innovative and age-inclusive regarding differences in cognitive abilities and prior technological knowledge. In two experimental studies (study 5 and 6) involving a total of 54 younger and 53 older adults, prototypes that were designed with image-schematic metaphors were perceived as more innovative compared to those who were designed without image-schematic metaphors. Moreover, the impact of prior technological knowledge on interaction was reduced for prototypes that had been designed with image-schematic metaphors. However, participants' cognitive abilities and age still influenced the interaction significantly.
The present work provides empirical as well as methodological findings that can help to promote the method of image-schematic metaphors in interaction design. As a result of these studies it can be concluded that the image-schematic metaphors are an applicable and effective method for innovative user interfaces that can be used regardless of prior technological knowledge.
The current dissertation addresses the analysis of technology-enhanced learning processes by using Process Mining techniques. For this purpose, students’ coded think-aloud data served as the measurement of the learning process, in order to assess the potential of this analysis method for evaluating the impact of instructional support.
The increasing use of digital media in higher education and further educational sectors enables new potentials. However, it also poses new challenges to students, especially regarding the self-regulation of their learning process. To help students with optimally making progress towards their learning goals, instructional support is provided during learning. Besides the use of questionnaires and tests for the assessment of learning, researchers make use increasingly of process data to evaluate the effects of provided support. The analysis of observed behavioral traces while learning (e.g., log files, eye movements, verbal reports) allows detailed insights into the student’s activities as well as the impact of interventions on the learning process. However, new analytical challenges emerge, especially when going beyond the analysis of pure frequencies of observed events. For example, the question how to deal with temporal dynamics and sequences of learning activities arises. Against this background, the current dissertation concentrates on the application of Process Mining techniques for the detailed analysis of learning processes. In particular, the focus is on the additional value of this approach in comparison to a frequency-based analysis, and therefore on the potential of Process Mining for the evaluation of instructional support.
An extensive laboratory study with 70 university students, which was conducted to investigate the impact of a support measure, served as the basis for pursuing the research agenda of this dissertation. Metacognitive prompts supported students in the experimental group (n = 35) during a 40-minute hypermedia learning session; whereas the control group (n = 35) received no support. Approximately three weeks later, all students participated in another learning session; however, this time all students learned without any help. The participants were instructed to verbalize their learning activities concurrently while learning. In the three analyses of this dissertation, the coded think aloud data were examined in detail by using frequency-based methods as well as Process Mining techniques.
The first analysis addressed the comparison of the learning activities between the experimental and control groups during the first learning session. This study concentrated on the research questions whether metacognitive prompting increases the number of metacognitive learning activities, whether a higher number of these learning activities corresponds with learning outcome (mediation), and which differences regarding the sequential structure of learning activities can be revealed. The second analysis investigated the impact of the individual prompts as well as the conditions of their effectiveness on the micro level. In addition to Process Mining, we used a data mining approach to compare the findings of both analysis methods. More specifically, we classified the prompts by their effectiveness, and we examined the learning activities preceding and following the presentation of instructional support. Finally, the third analysis considered the long-term effects of metacognitive prompting on the learning process during another learning session without support. It was the key objective of this study to examine which fostered learning activities and process patterns remained stable during the second learning session.
Overall, all three analyses indicated the additional value of Process Mining in comparison to a frequency-based analysis. Especially when conceptualizing the learning process as a dynamic sequence of multiple activities, Process Mining allows identifying regulatory loops and crucial routing points of the process. These findings might contribute to optimizing intervention strategies. However, before drawing conclusions for the design of instructional support based on the revealed process patterns, additional analyses need to investigate the generalizability of results. Moreover, the application of Process Mining remains challenging because guidelines for analytical decisions and parameter settings in technology-enhanced learning context are currently missing. Therefore, future studies need to examine further the potential of Process Mining as well as related analysis methods to provide researchers with concrete recommendations for use. Nevertheless, the application of Process Mining techniques can already contribute to advance the understanding of the impact of instructional support through the use of fine-grained process data.
Ownership and usage of personal voice assistant devices like Amazon Echo or Google Home have increased drastically over the last decade since their market launch. This thesis builds upon existing computers are social actors (CASA) and media equation research that is concerned with humans displaying social reactions usually exclusive to human-human interaction when interacting with media and technological devices. CASA research has been conducted with a variety of technological devices such as desktop computers, smartphones, embodied virtual agents, and robots. However, despite their increasing popularity, little empirical work has been done to examine social reactions towards these personal stand-alone voice assistant devices, also referred to as smart speakers. Thus, this dissertation aims to adopt the CASA approach to empirically evaluate social responses to smart speakers. With this goal in mind, four laboratory experiments with a total of 407 participants have been conducted for this thesis. Results show that participants display a wide range of social reactions when interacting with voice assistants. This includes the utilization of politeness strategies such as the interviewer-bias, which led to participants giving better evaluations directly to a smart speaker device compared to a separate computer. Participants also displayed prosocial behavior toward a smart speaker after interdependence and thus a team affiliation had been induced. In a third study, participants applied gender stereotypes to a smart speaker not only in self-reports but also exhibited conformal behavior patterns based on the voice the device used. In a fourth and final study, participants followed the rule of reciprocity and provided help to a smart speaker device that helped them in a prior interaction. This effect was also moderated by subjects’ personalities, indicating that individual differences are relevant for CASA research. Consequently, this thesis provides strong empirical support for a voice assistants are social actors paradigm. This doctoral dissertation demonstrates the power and utility of this research paradigm for media psychological research and shows how considering voice assistant devices as social actors lead to a more profound understanding of voice-based technology. The findings discussed in this thesis also have implications for these devices that need to be carefully considered both in future research as well as in practical design.
Errors in Prospective Memory
(2019)
Prospective memory is the ability to implement intentions at a later point in time in response to a specified cue. Such prospective memory tasks often occur in daily living and workplace situations. However, in contrast to retrospective memory there has been relatively little research on prospective memory. The studies by Harris (1984) and Einstein and MacDaniel (1990) served as a starting point for a now steadily growing area of research. Based on this emerging field of study this dissertation presents and connects and five journal articles, which further explore prospective memory by focusing on its potential errors.
The first article addresses the question if additional cognitive resources are needed after a prospective memory cue occurs to keep the intention active until it is implemented. The theory by Einstein, McDaniel, Williford, Pagan and Dismukes (2003), which suggested this active maintenance, could not be replicated. The second article demonstrated that interruptions between cue and the window of opportunity to implement the intention reduce prospective memory performance, especially if the interruption is tied with a change of context. Article three to five were focused on the erroneous implementation of a no longer active prospective memory task, so called commission errors. The suggested mechanism for their occurrence, the dual-mechanism account (Bugg, Scullin, & Rauvola, 2016), was not suited to explain the present results. A modification for the dual-mechanism account was formulated, which can account for prior work, as well as for the present data.
The results of all five articles also indicate that the moment of cue retrieval is even more relevant for prospective memory and its errors than previously accounted for.
Die vorliegende Rahmenschrift der kumulativen Dissertation umfasst zunächst einen einleitenden Teil, der die zentralen Begriffe „prosoziales Verhalten“ und „prosoziale Musik“ definiert. Anschließend werden der Stand der Forschung zu den Inhalten populärer Musik und zur Wirkung prosozialer Musik aufgezeigt. Im darauffolgenden Abschnitt werden die theoretischen Grundlagen für die Wirkungsstudien dieser Arbeit dargestellt und diskutiert. Das theoretische Gerüst bilden das General Learning Model sowie das Reciprocal Feedback Model of Musical Response. Aspekte dieser theoretischen Ansätze werden schließlich kombiniert, um sie in ein eigenes Musikwirkungsmodell zu überführen. Das übergeordnete Forschungsvorhaben wird in zwei zentrale Vorhaben aufgeteilt – die Analyse der Repräsentation und die Untersuchung der Wirkung prosozialer Musik – und im anschließenden Kapitel dargestellt. Im Zentrum des Dissertationsprojekts stehen die vier empirischen Arbeiten, mit denen die Forschungsvorhaben realisiert wurden. Um die Repräsentation pro-sozialen Verhaltens in populärer Musik zu untersuchen, wurde eine Inhaltsanalyse durchgeführt (erschienen bei Musicae Scientiae). Zur Überprüfung der Wirkung prosozialer Musik wurden eine experimentelle Feldstudie (erschienen bei Psychology of Music), zwei aufeinander aufbau-ende Online-Experimente (erschienen bei Musicae Scientiae) und schließlich ein mehrfaktorielles Online-Experiment (erschienen bei Psychology of Music) realisiert. Diese Studien werden in der anschließenden Synopse kurz dargestellt und zueinander in Bezug gesetzt. Den Schluss der Rahmenschrift bilden eine Zusammenfassung und Diskussion der Ergebnisse sowie ein Fazit mit Ausblick auf mögliche weitere Untersuchungen.
Intuitive Benutzung wird in dieser Arbeit definiert als das Ausmaß, mit dem ein Produkt mental effizient und effektiv genutzt wird, was mit einem starken metakognitiven Gefühl von Flüssigkeit einhergeht. Aktuelle Methoden verfügen nicht über eine ausreichend hohe zeitliche Anwendungseffizienz, um im Industrieprojekt 3D-GUIde effektiv zur Evaluation von Interaktionspatterns für 3D-Creation-Oriented-User-Interfaces (3D-CUIs) eingesetzt werden zu können. Diese Interaktionspatterns beschreiben strukturiert, wie 3D-CUIs als User Interfaces zur Erstellung von dreidimensionalen Inhalten gestaltet werden müssen, um intuitive Benutzung zu unterstützen. In dieser Arbeit werden daher zwei neue Evaluationsmethoden vorgeschlagen: 1) IntuiBeat-F als formative Evaluationsmethode und 2) IntuiBeat-S als summative Evaluationsmethode. Basierend auf Default-Interventionist-Theorien und bestehenden Definitionen intuitiver Benutzung werden die mentale Beanspruchung als zentrales objektives, das metakognitive Gefühl von Flüssigkeit als zentrales subjektives und die Effektivität als zentrales pragmatisches mit intuitiver Benutzung assoziiertes Merkmal identifiziert. Die Evaluation intuitiver Benutzung mithilfe von IntuiBeat-F und IntuiBeat-S ist vielversprechend, da es sich bei beiden Methoden um Inhibition basierende Rhythmuszweitaufgaben handelt und diese somit mentale Beanspruchung objektiv erfassen können. Das Potential beider Methoden wird im Hinblick auf vorherige Forschungsarbeiten zur zeitlich effizienten Evaluation von 3D-CUIs aus der Mensch-Computer-Interaktion und der Psychologie diskutiert. Aus dieser Diskussion werden empirische Forschungsfragen abgeleitet. Die erste Forschungsfrage untersucht die wissenschaftliche Güte von IntuiBeat-S. Im ersten, zweiten und dritten Experiment werden Paare von 3D-CUIs miteinander summativ verglichen (d.h. weniger vs. stärker intuitiv benutzbare User Interfaces). Dabei wird die wissenschaftliche Güte von IntuiBeat-S hinsichtlich der Hauptgütekriterien Objektivität, Reliabilität und Validität beurteilt. Die Ergebnisse zeigen, dass IntuiBeat-S eine hohe wissenschaftliche Güte bei der summativen Evaluation besitzt. Zudem macht es bei der Anwendung von IntuiBeat-S keinen Unterschied, ob der Rhythmus über die Ferse oder den Fußballen eingeben wird, und ob als Stichproben Studierende mit höherer oder geringerer Vorerfahrung bezüglich der Nutzung von 3D-CUIs verwendet werden. Die zweite Forschungsfrage untersucht die wissenschaftliche Güte von IntuiBeat-F. Im vierten, fünften, sechsten und siebten Experiment werden 3D-CUIs einzeln formativ evaluiert (d.h. entweder ein weniger oder stärker intuitiv benutzbares User Interface). Dabei wird die wissenschaftliche Güte von IntuiBeat-F hinsichtlich der Hauptgütekriterien Gründlichkeit, Gültigkeit und Zuverlässigkeit beurteilt. Die Ergebnisse zeigen, dass IntuiBeat-F eine hohe wissenschaftliche Güte bei der formativen Evaluation besitzt. Diese liegt bei strikter Anwendung der Methode (d.h. Berücksichtigung ausschließlich mit der Methode entdeckter Nutzungsprobleme) zwar höher, ist aber bei wenig strikter Anwendung der Methode (d.h. Berücksichtigung auch unabhängig von der Methode entdeckter Nutzungsprobleme) noch ausreichend hoch. Jedoch konnte erst die Entwicklung und Einführung einer zusätzlichen Analysesoftware im Zuge des sechsten und siebten Experiments die wissenschaftliche Güte von IntuiBeat-F hinsichtlich aller drei Hauptgütekriterien demonstrieren, da ohne deren Unterstützung IntuiBeat-F vom Evaluator nicht ausreichend gründlich angewendet wird. Die dritte Forschungsfrage untersucht, wie hoch die zeitliche Anwendungseffizienz beider Methoden als wichtiger Aspekt praktischer Güte im Vergleich zu bereits vorhandenen Evaluationsmethoden für intuitive Benutzung ist. Bezüglich der summativen Evaluation wird im zweiten Experiment eine höhere zeitliche Anwendungseffizienz von IntuiBeat-S im Vergleich zum aktuellen summativen Benchmark, der CHAI-Methode, sowohl bei der Evaluation von weniger als auch bei der von stärker intuitiv benutzbaren 3D-CUIs demonstriert. Auch bezüglich der formativen Evaluation konnten die Ergebnisse der letzten vier Experimente zeigen, dass die zeitliche Anwendungseffizienz von IntuiBeat-F im Vergleich zum aktuellen formativen Benchmark, dem Nutzertest mit retrospektivem Think-Aloud- Protokoll, sowohl bei der Evaluation von weniger als auch stärker intuitiv benutzbaren 3D-CUIs höher liegt. Dieser Unterschied bleibt bestehend, egal ob eine zusätzliche Analysesoftware vom Evaluator verwendet wird oder nicht. Als Ergebnis aller Experimente lässt sich feststellen, dass die wissenschaftliche Güte und die zeitliche Anwendungseffizienz beider Methoden zur Evaluation intuitiver Benutzung von 3D-CUIs mehr als zufriedenstellend beurteilt werden kann. Die Arbeit wird mit einer Diskussion des geleisteten Forschungsbeitrags geschlossen. Dabei werden Anregungen für künftige Forschung aus theoretischer (z.B. Berücksichtigung des Gefühls von Flüssigkeit bei der Evaluation), praktischer (z.B. Untersuchung der Anwendbarkeit beider Methoden in anderen Domänen) und methodischer (z.B. Beurteilung der praktischen Güte beider Methoden anhand anderer Kriterien) Perspektive gegeben.
In this thesis, metacognition research is connected with fluency research. Thereby, the focus lies on how disfluency can be used to improve metacognitive monitoring (i.e., students` judgments during the learning process). Improving metacognitive monitoring is important in educational contexts in order to foster performance. Theories about metacognition and self-regulated learning suppose that monitoring affects control and performance. Accurate monitoring is necessary to initiate adequate control and better performance. However, previous research shows that students are often not able to accurately monitor their learning with meaningful text material. Inaccurate monitoring can result in inadequate control and low performance.
One reason for inaccurate monitoring is that students use cues for their judgments that are not valid predictors of their performance. Because fluency might be such a cue, the first aim of this thesis is to investigate under which conditions fluency is used as a cue for judgments during the learning process. A fluent text is easy to process and, hence, it should be judged as easy to learn and as easy to remember. Inversely, a disfluent text is difficult to process, for example because of a disfluent font type (e.g., Mistral) or because of deleted letters (e.g., l_tt_rs). Hence, a disfluent text should be judged as difficult to learn and as difficult to remember. This assumption is confirmed when students learn with both fluent and disfluent material. When fluency is manipulated between persons, fluency seems to be less obvious as a cue for judgments. However, there are only a few studies that investigated the effects of fluency on judgments when fluency is manipulated between persons. Results from Experiment 1 (using deleted letters for disfluent text) and from Experiment 4 (using Mistral for disfluent text) in this thesis support the assumption that fluency is used as a cue for judgments in between-person designs. Thereby, however, the interplay with the type of judgment and the learning stage seems to matter.
Another condition when fluency affects judgments was investigated in Experiment 2 and 3. The aim of these experiments was to investigate if disfluency leads to analytic monitoring and if analytic monitoring sustains for succeeding fluent material. If disfluency activates analytic monitoring that remains for succeeding fluent material, fluency should no longer be used as a cue for judgments. Results widely support this assumption for deleted letters (Experiment 2) as well as for the font type Mistral (Experiment 3). Thereby, again the interplay between the type of judgment and the learning stage matters.
Besides the investigation of conditions when fluency is used as a cue for different types of judgments during the learning process, another aim of this thesis is to investigate if disfluency leads to accurate monitoring. Results from Experiment 3 and 4 support the assumption that Mistral can reduce overconfidence. This is the case when fluency is manipulated between persons or when students first learn with a fluent and then with a disfluent text. Dependent from the type of judgment and the learning stage, disfluency can lead even to underconfidence or to improved relative monitoring accuracy (Experiment 4).
Improving monitoring accuracy is only useful when monitoring is implemented into better control and better performance. The effect of monitoring accuracy on control and performance was in the focus of Experiment 4. Results show that accurate monitoring does not result in improved control and performance. Thus, further research is required to develop interventions that do not only improve monitoring accuracy but that also help students to implement accurate monitoring into better control and performance.
Summing up, the aim of this thesis is to investigate under which conditions fluency is used as a cue for judgments during the learning process, how disfluency can be used to improve monitoring accuracy, and if improved monitoring accuracy leads to improved performance. By connecting metacognition research and fluency research, further theories about metacognition and theories about fluency are specified. Results show that not only the type of fluency and the design, but also the type of judgment, the type of monitoring accuracy, and the learning stage should be taken into account. Understanding conditions that affect the interplay between metacognitive processes and performance as well as understanding the underlying mechanisms is necessary to enable systematic research and to apply findings into educational settings.