Publications

Der vorliegende Beitrag wendet die dynamische Wettbewerbstheorie von Wolfgang Kerber und anderen auf aktuelle Fragen der Wettbewerbspolitik an. Damit zeigt der Beitrag, dass dynamische Wettbewerbstheorien sehr wohl zu konkreten wettbewerbspolitischen Empfehlungen führen und einen wichtigen Beitrag zum wettbewerbspolitischen Diskurs leisten können. Zu den aufgegriffenen wettbewerbspolitischen Themen gehören der As-Efficient-Competitor-Test in der Missbrauchskontrolle, die Kontrolle und Regulierung systemischer Marktmacht in digitalen Ökosystemen, anlassunabhängige Wettbewerbspolitik und sanktionsbewehrte Sektoruntersuchungen, sowie die Fusionskontrolle nicht-horizontaler Zusammenschlüsse.

Sex dolls have been criticized for reproducing unrealistic expectations about human bodies. Yet precise sex doll measurements are lacking in the literature nor has there been any systematic attempt to determine the extent to which sex dolls exaggerate human characteristics. To address this gap, we compared the specifications of sex dolls marketed in the USA with the characteristics of women and men living in the USA. Specifically, we tested if and to what degree female dolls were slimmer (H1) and male dolls more muscular (H2) than female and male humans, respectively. Furthermore, we tested if and to what degree female dolls’ breasts (H3) and male dolls’ penises (H4) were larger than those of women and men. We also tested if sex dolls’ observed race/ethnicity was more often White than that of the US population (H5). In 2023, we collected the measures of all 757 full-body sex dolls marketed by the US retailer SexyRealSexDolls.com. Body measures from the US population were extracted from scientific literature. Descriptive and inferential statistical analyses were performed using R. All hypotheses were fully or partially confirmed, which indicated that sex dolls marketed in the USA are not realistic depictions of the US population but hypergendered (H1, H2), hypersexualized (H3, H4), and racially fetishized (H5). Implications of the lack of realism are discussed.

The social integration of older adults has been shown to be vital for successful aging. Innovative communication technologies, such as telepresence robots, can protect older adults against loneliness and social isolation by helping them stay connected to their social networks. This human-centered qualitative study aims to identify the attitudes (research question 1, RQ1), intentions to use (RQ2), and requirements (RQ3) of older adults for robot-mediated communication (RMC) via a telepresence robot. Semi-structured individual interviews were conducted with N = 30 older adults from Germany, who evaluated storyboard illustrations depicting a fictional RMC scenario between a grandparent and their adult grandchild. The study identified 3 attitude groups towards telepresence robots among participants: positive, negative, and conflicting attitudes (RQ1). Furthermore, based on their intentions of use, participants were classified into reluctant future users (n = 12), future non-users (n = 10), and enthusiastic future users (n = 8) (RQ2). Finally, the study identified technological, social, and age-related requirements of older adults for a telepresence robot (RQ3). Practical recommendations are provided based on these findings, such as leveraging older adults’ current technology-related skills, adapting technologies to older adults’ lifestyles and social networks, and designing technologies that contribute to older adults aging in place. This study contributes to the human-centered design of telepresence robots that support the social integration of older adults.

Augmented reality (AR) presents vivid opportunities for interpersonal communication. With the growing diversity of social AR users, understanding their unique needs and perceptions becomes crucial. This study delves into how younger, middle-aged, and older adults perceive avatars with different aging attributes and degrees of realism, focusing on their anticipated user experience within a social AR system. We conducted an online within-subjects experiment involving N=2086 age-diverse participants from Germany who assessed a set of nine gender-matched avatars for their perceived social attractiveness (research question 1 = RQ1) and the likelihood of selecting these avatars for self-representation in social AR (RQ2). The evaluated avatars represented different age groups (younger, middle-aged, and older) and levels of realism (low, medium, and high). We validated both the created avatars and our experimental setup and employed a linear mixed-effects modeling approach to analyze the data. Our findings unveiled a strong preference for younger high-realism avatars as communication partners (RQ1), which was consistent across all participant age groups. Similarly, participants favored younger high-realism avatars for self-representation in social AR (RQ2). However, older adults were more inclined to opt for avatars resembling their actual age. The study highlights the prevalence of age-related stereotypes in avatar-based communication. Similar to face-to-face social interactions, these stereotypes tend to render older avatars less socially attractive than their younger counterparts, irrespective of the avatar’s degree of realism. Our results invite considerations on how to combat these stereotypes through a more thoughtful and inclusive avatar design process that encompasses a broader spectrum of aging attributes.