Family Systems Theory provides a framework for examining how values are transmitted between family members, and the overall impact transmission has on familial well-being. While familial emotional closeness has been linked to older-adult well-being, there is still a lack of research investigating the influence of ideological agreement between family members. This study examined grandparent-child and grandparent-grandchild dyads to assess the extent to which level of agreement on religious and political ideological beliefs moderates the relation between perceived intergenerational emotional closeness and well-being in grandparents. Affectual solidarity ratings among the generations, as well as religious ideological differences between grandparents and grandchildren, were found to influence well-being in grandparents. Model fit was excellent for both moderation models. These findings suggest that emotional closeness is a predominant factor in predicting well-being in grandparents that may not be as heavily influenced by the level of agreement on ideological beliefs, as is often assumed.

Recent developments in communications technology have transformed how social movements might mobilize, and how they can organize their activities. This thesis explores some of the geographical consequences of the use of digital media for political activism. It does this by focusing on the transnationalization of protests. The aim is to analyse how movements with different organizational structures and political scopes are affected by their use of digital media. This is done with a specific focus on how digital media use influences or enables transnational modes of organization and activism. The thesis comprises four different case studies where each study examines a social movement with a specific organizational structure. There are, however, also important similarities between the movements. In each study, somewhat different perspectives and methodological approaches are used. Some of the methods used are semi-structured interviews, content analysis of written data (retrieved from Facebook as well as Twitter), and social network analysis. The analysis indicates that digital media do have a role in the transnationalization of protest. This role, however, differs depending on what type of social movement one studies. The organizational structure of social movements, together with their specific forms of digital media use, influences how the transnationalization of protests and movements is articulated and formed. In cases where a social movement has a hierarchical organizational structure, there is less transnationalization, whereas in social movements with a more non-hierarchical organizational structure one sees more transnationalization. The thesis concludes that the transnationalization of protests is affected by social movements’ organizational structure. The more decentralized the social movement, the more vibrant the transnational public. In order to explain how transnational social movements, using digital media, can emerge in cases where geographical distances might make such coalitions unlikely, the thesis introduces the notion of affectual proximity. This concept helps us understand how transnational social movements, connecting actors from all over the world, can emerge through digital media.

Usability testing, or user experience (UX) testing, is increasingly recognized as an important part of the user interface design process. However, evaluating usability tests can be expensive in terms of time and resources and can lack consistency between human evaluators. This makes automation an appealing expansion or alternative to conventional usability techniques. Early usability automation focused on evaluating human behavior through quantitative metrics but the explosion of opinion mining and sentiment analysis applications in recent decades has led to exciting new possibilities for usability evaluation methods. This paper presents a survey of modern, open-source sentiment analyzers’ usefulness in extracting and correctly identifying moments of semantic significance in the context of recorded mock usability evaluations. Though our results did not find a text-based sentiment analyzer that could correctly parse moments as well as human evaluators, one analyzer was found to be able to parse positive moments found through audio-only cues as well as human evaluators. Further research into adjusting settings on current sentiment analyzers for usability evaluations and using multimodal tools instead of text-based analyzers could produce valuable tools for usability evaluations when used in conjunction with human evaluators.

En phase d’amorçage, les jeunes entreprises technologiques à la recherche de ressources pour financer leur développement peuvent solliciter les business angels (BAs) et capital-investisseurs (CIs). Notre recherche porte sur le type d’investissement (BAs seuls, BAs et CIs en co-investissement séquentiel ou simultané) mis en œuvre et amène la question de la nature et de la qualité des relations et interactions entre les différentes catégories d’investisseurs et l’entrepreneur, dans le sens où ces investisseurs peuvent influencer la dynamique de croissance et être à leur tour influencés par cette dynamique. Celle-ci suppose que les rythmes et l’intensité des trajectoires de croissance des jeunes pousses de haute technologie n’ont rien de déterministes, mais se développent de façon dynamique dans le champ de l’interaction entre les principaux apporteurs de ressources. Nous mobilisons conjointement la théorie d’agence et les approches cognitive et effectuale pour analyser le co-investissement par BAs et CIs. Nous avons mené une étude de cas multiples à visée comparative auprès de trois jeunes entreprises de la région Rhône-Alpes-Auvergne. Nous avons montré que, quand les schémas cognitifs des BAs et/ou de l’entrepreneur sont proches de celui du CI, les relations et interrelations peuvent se déployer à moindre coût cognitif en phase préinvestissement et que le co-investissement séquentiel ou simultané peut prendre place. Nos résultats révèlent qu’un financement par BAs est associé à une trajectoire de croissance plus lente et qu’un co-investissement séquentiel permet de stabiliser la trajectoire de croissance sans pour autant que l’entreprise rencontre une très forte croissance. Nous mettons aussi en évidence que lorsque les BAs et/ou les CIs perçoivent le fort potentiel de croissance de la jeune entreprise, très tôt dans le processus d’investissement, les CIs ont avantage à intégrer les BAs qui ont une expérience spécifique comme leur passé entrepreneurial et leur connaissance du secteur. L’approche prédictive de ces trois acteurs : entrepreneur, CIs et BAs favorise la mise en œuvre d’un un co-investissement simultané. Dans ce contexte, les investisseurs (BAs et CIs) peuvent être des partenaires actifs au côté de l’entrepreneur et contribuer à ce que la jeune entreprise rencontre une trajectoire de croissance forte voire d’une hyper-croissance. / In their seed, young technological ventures seeking resources to finance their development may seek business angels (BAs) and venture capitalists (VCs). Our research shall include the type of investment (only BAs, BAs and VCs in sequential or simultaneous co-investment) implemented and this leads to the question of the nature and the quality of the relations and interactions among various categories of investors and the entrepreneur, in the sense that these investors may influence the dynamic of growth, and be themselves influenced by that dynamic. It implies that the pace and intensity of the venture growth of the young technological ventures do not have any kind of determinism, but they develop rather in a dynamic manner within the field of the interaction between the main providers of resources. We jointly mobilize agency theory and cognitive and effectual approaches in order to analyse the co-investment of BAs and VCs. We conducted a multiple-case study with a comparative aim concerning three young companies of the Rhône-Alpes Region. We have shown that, when the cognitive schemes of the BAs and / or the entrepreneur are close to that of the VC, the relations and interrelations can occur to a lesser cognitive cost during the pre-investment phase and that the sequential or simultaneous co-investment may take place. Our results indicate that a funding by BAs is associated with a slower venture growth and that a sequential co-investment allows the stabilisation of the venture growth without a very high growth for the company. We are also highlighting that when the BAs and / or the VCs recognize the high growth potential of the young company very early in the investment process the VCs really need to integrate the BAs who have a specific experience, like their entrepreneurial past and their knowledge of the sector. The predictive approach of these three stakeholders: entrepreneur, VCs and BAs promotes the implementation of a simultaneous co-investment. In this context, the investors (BAs and VCs) can serve as active partners alongside the entrepreneur and help ensure that the young company follows a high venture growth, or even a hyper growth.

This thesis deals with the emotional dimension of intergenerational solidarity in elderly care. Caring for an aging family member is a difficult life situations for a caring person but also for the elderly. How they cope with the situation, largely depends on the quality of their relationship. The paper presents the theories related to emotional solidarity in elderly care, mainly the theory of V.L. Bengtson, on which is based the research and presents also contemporary Czech and foreign studies on this topic. Quantitative methods used in the paper are based on data from research of prof. Hynek Jerabek et al. "Family Cohesion 2010" and analyzes the mutual relationship between the one who cares and elderly family member who need help. To find the factors that affect relationships, is used linear regression analysis factors are currently being compared to the situation of home care and for care with help of the institutions. The conclusions of the analysis confirm the assumption that emotional solidarity is most often provided kind of help. Emotional relationships between caring persons and the elderly are characterized by relatively high degree of reciprocity, which increases when they are caring of their own mother, and if they had harmonic emotional relationships with senior in the past. The...

The global context of decision making continues to adapt in response to international threats. Political psychologists have therefore considered decision making processes regarding major uses of force a key area of interest. Although presidential personality has been widely studied as a mitigating factor in the decision making patterns leading to uses of force, traditional theories have not accounted for the emotions of individuals as they affect political actions and are used to frame public perception of the use of force. This thesis therefore measures expressed emotion and cognitive expressions in the form of expressed aggression, passivity, blame, praise, certainty, realism, and optimism as a means of predicting subsequent major uses of force. Since aggression and blame are precipitated by anger and perceived vulnerability, they are theorized to foreshadow increased uses of force (Gardner and Moore 2008). Conversely, passivity and praise are indicative of empathy and joy respectively, and are not expected to precede aggressive behavior conducted to maintain emotional regulation (Roberton, Daffer, and Bucks 2012). Additionally, the three cognitive variables of interest expand on existing literature on beliefs and decision making expounded by such authors as Walker (2010), Winter (2003) and Hermann (2003). DICTION 6.0 is used to analyze all text data of presidential news conferences, candidate debates, and State of the Union speeches given between 1945 and 2000 stored by The American Presidency Project (Hart and Carroll 2012). Howell and Pevehouse's (2005) quantitative assessment of quarterly U.S. uses of force between 1945 and 2000 is employed as a means of quantifying instances of major uses of force. Results show systematic differences among the traits expressed by presidents, with most expressions staying consistent across spontaneous speech contexts. Additionally, State of the Union speeches consistently yielded the highest scores across the expressed traits measured; supporting the theory that prepared speech is used to emotionally frame situations and setup emotional interpretations of events to present to the public. Time sensitive regression analyses indicate that expressed aggression within the context of State of the Union Addresses is the only significant predictor of major uses of force by the administration. That being said, other studies may use the comparative findings presented herein to further establish a robust model of personality that accounts for individual dispositions toward emotional expression as a means of framing the emotional interpretation of events by audiences.