Suchergebnisse

AbstractAccording to a 2017 U.S. Department of Agriculture (USDA) survey, 12.3% of households face food insecurity (FI)—the economic and social condition of limited or uncertain access to adequate food. Given the pervasiveness of the problem, there is surprisingly little research examining how the general population perceives FI. Is FI expected in all societies? Is it a societal disgrace for individuals in the United States to go hungry? When it occurs, who is responsible? This research drew from existing surveys and practitioner expertise to develop a comprehensive instrument to assess attitudes toward FI. Data were collected in two studies to test a multidimensional model developed through examination and categorization of FI‐related items. We examined dimensionality of attitudes through exploratory (Study 1, N = 503) and then confirmatory (Study 2, N = 510) factor analysis of representative samples of Amazon Mechanical Turk (MTurk) participants. Seven dimensions were identified and related to reported contributions to food organizations and demographic characteristics (e.g., gender, age, and political orientation). Our findings help understanding of attitudes toward FI and can provide antipoverty organizations with information to shape policy, challenge inaccurate perceptions, and develop approaches to address FI.

AbstractSelf‐driving vehicles will affect the future of transportation, but factors that underlie perception and acceptance of self‐driving cars are yet unclear. Research on feelings as information and the affect heuristic has suggested that feelings are an important source of information, especially in situations of complexity and uncertainty. In this study (N = 1,484), we investigated how feelings related to traditional driving affect risk perception, benefit perception, and trust related to self‐driving cars as well as people's acceptance of the technology. Due to limited experiences with and knowledge of self‐driving cars, we expected that feelings related to a similar experience, namely, driving regular cars, would influence judgments of self‐driving cars. Our results support this assumption. While positive feelings of enjoyment predicted higher benefit perception and trust, negative affect predicted higher risk and higher benefit perception of self‐driving cars. Feelings of control were inversely related to risk and benefit perception, which is in line with research on the affect heuristic. Furthermore, negative affect was an important source of information for judgments of use and acceptance. Interest in using a self‐driving car was also predicted by lower risk perception, higher benefit perception, and higher levels of trust in the technology. Although people's individual experiences with advanced vehicle technologies and knowledge were associated with perceptions and acceptance, many simply have never been exposed to the technology and know little about it. In the absence of this experience or knowledge, all that is left is the knowledge, experience, and feelings they have related to regular driving.