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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.
Research on the deployment and use of technology to assist learning has seen a significant
rise over the last decades (Aparicio et al., 2017). The focus on course quality, technology,
learning outcome and learner satisfaction in e-learning has led to insufficient attention by
researchers to individual characteristics of learners (Cidral et al., 2017 ; Hsu et al., 2013). The current work aims to bridge this gap by investigating characteristics identified by previous works and backed by theory as influential individual differences in e-learning. These learner characteristics have been suggested as motivational factors (Edmunds et al., 2012) in decisions by learners to interact and exchange information (Luo et al., 2017).
In this work e-learning is defined as interaction dependent information seeking and sharing enabled by technology. This is primarily approached from a media psychology perspective. The role of learner characteristics namely, beliefs about the source of knowledge (Schommer, 1990), learning styles (Felder & Silverman, 1988), need for affect (Maio & Esses, 2001), need for cognition (Cacioppo & Petty, 1982) and power distance (Hofstede, 1980) on interactions to seek and share information in e-learning are investigated. These investigations were shaped by theory and empirical lessons as briefly mentioned in the next paragraphs. Theoretical support for investigations is derived from the technology acceptance model(TAM) by psychologist Davis (1989) and the hyper-personal model by communication scientist Walther (1996). The TAM was used to describe the influence of learner characteristics on decisions to use e-learning systems (Stantchev et al., 2014). The hyper-personal model described why computer-mediated communication thrives in e-learning (Kaye et al., 2016) and how learners interpret messages exchanged online (Hansen et al., 2015). This theoretical framework was followed by empirical reviews which justified the use of interaction and information seeking-sharing as key components of e-learning as well as the selection of learner characteristics. The reviews provided suggestions for the measurement of variables (Kühl et al., 2014) and the investigation design (Dascalau et al., 2015). Investigations were designed and implemented through surveys and quasi experiments which were used for three preliminary studies and two main studies. Samples were selected from Germany and Ghana with same variables tested in both countries. Hypotheses were tested with interaction and information seeking-sharing as dependent variables while beliefs about the source of knowledge, learning styles, need for affect, need for cognition and power distance were independent variables. Firstly, using analyses of variance, the influence of beliefs about the source of knowledge on interaction choices of learners was supported. Secondly, the role of need for cognition on interaction choices of learners was supported by results from a logistic regression. Thirdly, results from multiple linear regressions backed the influence of need for cognition and power distance on information seeking-sharing behaviour of learners. Fourthly, the relationship between need for affect and need for cognition
was supported. The findings may have implications for media psychology research, theories used in this work, research on e-learning, measurement of learner characteristics and the design of e-learning platforms. The findings suggest that, the beliefs learners have about the source of knowledge, their need for cognition and their power distance can influence decisions to interact and seek or share information. The outlook from reviews and findings in this work predicts more research on learner characteristics and a corresponding intensity in the use of e-learning by individuals. It is suggested that future studies investigate the relationship between learner autonomy and power distance. Studies on inter-cultural similarities amongst e-learners in different populations are also
suggested.
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).
Spatial presence is a state in which media users temporarily overlook the mediated nature of their experience.
This study discusses stimulus-dependent structure in spontaneous eye-blink behavior as analternative to presence selfreport measures. To this end, theories and empirical evidence on presence, spontaneous eye-blink behavior, and existing approaches for presence assessment are used to link antecedent processes of presence, especially attention, to presence and structure in blinking behavior.
Three experiments in different media environments relate three different methods for quantification of stimulus-dependent structure to an established presence scale. The results are not conclusive, but raise questions on presence and its measurement, and advance the understanding of stimulus-dependent structure in spontaneous eye-blink behavior.
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 rising use of new media has given rise to public discussions about their possible negative consequences. The social sciences have answered these concerns, providing many studies investigating different media types (e.g., social media, video games) and different related variables (e.g., psychological well-being, academic achievement). Within this big body of research, some research results have confirmed negative associations with frequent media use; other studies have found no or even positive relationships. With heterogeneous results, it is difficult to obtain a clear picture of the relationships and causalities of new media. The method of meta-analysis allows a synthesis of all existing data, providing an overall effect size as well as moderator and mediator analyses which might explain the heterogeneity. Three manuscripts present meta-analytic evidence related to a) the relationship between social media use and academic achievement, b) the relationship between video gaming and overweight, and c) the relationship between social media and psychological correlates. Manuscript #1 found small relationships which depend on the usage pattern of social media. The relationship is positive, as long as social media use is related to school. Manuscript #2 showed that children’s and adolescents’ video gaming is independent from their body mass, while adults who play more have a higher body mass. Manuscript #3 summarized existing meta-analytic evidence that links social media with psychological wellbeing, academic achievement, and narcissism with small to moderate effect sizes. All three manuscripts underscore the potential of meta-analyses to synthesize previous research and to identify moderators. Although meta-analyses are not necessarily superior to other approaches because of their limitations (e.g. limited information or quality of primary studies) they are very promising for media psychology. Meta-analyses can reduce complexity and might be helpful for the communication of research results to the general public.
As opposed to general expectation and perception, doctoral graduates do not necessarily strive for or realize the ideal-typical academic career. In many Western countries, career opportunities and paths for doctoral graduates have diversified, and academia is not their only occupational destination, with a large proportion leaving academia to work in public service, in companies’ research and development departments, or in non-profit organizations. Against this background, this thesis examines postdoctoral careers by means of the midterm occupational destinations and professional success among doctoral graduates in the academic and non-academic labour markets in Germany. With regard to occupational destinations, I investigate where doctoral graduates are employed following graduation and how their occupational destinations can be explained. With regard to professional success, I investigate various objective and subjective success indicators related to the returns to doctoral degrees — such as earnings, management positions, and job satisfaction — and systematically include the graduates’ occupational destinations in the analyses. I also consider social inequalities regarding both research topics.
Affective states in the context of learning and achievement can influence the learning process essentially. The impact of affective states can be both directly on the learning performance and indirectly mediated via, for example, motivational processes. Positive activating affect is often associated with increased memory skills as well as advantages in creative problem solving. Negative activating affect on the other hand is regarded to impair learning outcomes because of promoting task-irrelevant thinking. While these relationships were found to be relatively stable in correlation studies, causal relationships have been examined rarely so far. This dissertation aims to investigate the effects of positive and negative affective states in multimedia learning settings and to identify potential moderating factors. Therefore, three experimental empirical studies on university students were conducted. In Experiment 1, N = 57 university students were randomly allocated to either a positive or negative affect induction group. Affects were elicited using short film clips. After a 20-minute learning phase in a hypertext-based multimedia learning environment on “functional neuroanatomy” the learners’ knowledge as well as transfer performance were measured. It was assumed that inducing positive activating affect should enhance learning performance. Eliciting negative activating affect on the other hand should impair learning performance. However, it was found that the induction of negative activating affect prior to the learning phase resulted in slight deteriorations in knowledge. Contrary to the assumptions, inducing positive activating affect before the learning phase did not improve learning performance. Experiment 2 induced positive activating affect directly during learning. To induce affective states during the entire duration of the learning phase, Experiment 2 used an emotional design paradigm. Therefore, N = 111 university students were randomly assigned to learn either in an affect inducing multimedia learning environment (use of warm colours and round shapes) or an affectively neutral counterpart (using shades of grey and angular shapes) on the same topic as in Experiment 1. Again, knowledge as well as transfer performance were measured after learning for 20 minutes. In addition, positive and negative affective states were measured before and after learning. Complex interaction patterns between the treatment and initial affective states were found. Specifically, learners with high levels of positive affect before learning showed better transfer performance when they learned in the affect inducing learning environment. Regarding knowledge, those participants who reported high levels of negative activating affect prior to the learning period performed worse. However, the effect on knowledge did not occur for those students learning in the affect inducing learning environment. For knowledge, the treatment therefore protected against poorer performance due to high levels of negative affective states. Results of Experiment 2 showed that the induction of positive activating affect influenced learning performance positively when taking into account affective states prior to the learning phase. In order to confirm these interaction effects, a conceptual replication of the previous experiment was conducted in Experiment 3. Experiment 3 largely retained the former study design, but changed the learning materials and tests used. Analogous to Experiment 2, N = 145 university students learning for 20 minutes in either an affect inducing or an affectively neutral multimedia learning environment on “eukaryotic cell”. To strengthen the treatment, Experiment 3 also used anthropomorphic design elements to induce affective states next to warm colours and round shapes. Moreover, in order to assess the change in affective states more exactly, an additional measurement of positive and negative affective states after half of the learning time was inserted. Knowledge and transfer were assessed again to measure learning performance. The learners’ memory skills were used as an additional learning outcome. To control the influence of potential confounding variables, the participants’ general and current achievement motivation as well as interest, and emotion regulation skills were measured. Contrary to the assumptions, Experiment 3 could not confirm the interaction effects of Experiment 2. Instead, there was a significant impact of positive activating affect prior to the learning phase on transfer, irrespective of the learners’ group affiliation. This effect was further independent of the control variables that were measured. Nevertheless, the results of Experiment 3 fit into the picture of findings regarding “emotional design” in hypermedia learning settings. To date, the few publications that have used this approach propose heterogeneous results, even when using identical materials and procedures.
The impact of stories in their ability to shape our view on the world has long been a central topic in communication science and media psychology. While reading a book or watching a movie, we are transported into story worlds and we identify with depicted protagonists. Several studies showed that high levels of transportation lead to greater story-consistent beliefs. Similar effects were found for identification. However, much less is known how and in which direction stories could affect the self. Five experimental studies were conducted and summarized in three manuscripts. Manuscript #1 explored the moderating role of transportation that could shift one’s self-perception towards traits of a depicted story character (assimilation) or away from him/her (contrast). Manuscript #2 focused on downward social comparisons with a protagonist and possible contrast effects on participants’ self-perception in relation to others, their motives and behavior. Thereby, the mediating role of transportation and identification were investigated. Finally, upward social comparison with a protagonist and related emotions (e.g., envy) that mediate possible effects on one’s self perception and behavioral intentions were investigated in manuscript #3.
This dissertation project contributes to the literature on stories and the self. Consistent with previous work, assimilation effects were found for highly transported recipients. However, stories might also elicit contrast effects on recipients’ selves and behavioral intentions that are opposite to a depicted character. Extending prior research, there were evidence that transportation and envy are important process variables explaining assimilation vs. contrast effects.
Are there emotional reactions towards social robots? Could you love a robot? Or, put the other way round: Could you mistreat a robot, tear it apart and sell it? Media reports people honoring military robots with funerals, mourning the “death” of a robotic dog, and granting the humanoid robot Sophia citizenship. But how profound are these reactions? Three experiments take a closer look on emotional reactions towards social robots by investigating the subjective experience of people as well as the motor expressive level. Contexts of varying degrees of Human-Robot Interaction (HRI) sketch a nuanced picture of emotions towards social robots that encompass conscious as well as unconscious reactions. The findings advance the understanding of affective experiences in HRI. It also turns the initial question into: Can emotional reactions towards social robots even be avoided?