Partial Perception and Approximate Understanding

What is discussed in the present paper is the assumption concerning a human narrowed sense of perception of external world and, resulting from this, a basically approximate nature of concepts that are to portray it. Apart from the perceptual vagueness, other types of vagueness are also discussed, involving both the nature of things, indeterminacy of linguistic expressions and psycho-sociological conditioning of discourse actions in one language and in translational contexts. The second part of the paper discusses the concept of conceptual and linguistic resemblance (similarity, equivalence) and discourse approximating strategies and proposes a Resemblance Matrix, presenting ways used to narrow the approximation gap between the interacting parties in monolingual and translational discourses

Comparative Advertising in the Global Marketplace: The Effects of Cultural Orientation on Communication

This research examined the efficacy of one type of communication strategy, comparative advertising, in communicating product superiority to consumers across different cultures. In individualist cultures such as the United States, comparative advertising that highlights the superiority of the target brand is seen as more effective. However, in collectivist cultures such as Thailand, comparative advertising that highlights the similarity between brands is more likely to be effective. In addition, comparative advertising was more believable for unfamiliar brands in individualist cultures whereas comparison for familiar brands was more believable in collectivist cultures.http://deepblue.lib.umich.edu/bitstream/2027.42/39712/3/wp328.pd

'I think you understand me' : studying the associations between actual, assumed, and perceived understanding within couples

The current study examined the associations between actual, assumed, and perceived understanding and partners' levels of dyadic adjustment. One hundred fifty-two couples provided questionnaire data (assumed and perceived understanding), participated in a videotaped conflict interaction, and in a video-review task to assess actual understanding (empathic accuracy). The data were analyzed by means of the Actor-Partner Interdependence Model. The results suggest that (a) some aspects of how well someone assumes that (s)he has understood the partner during a preceding conflict interaction were positively associated with his/her own objective level of understanding (actor effect), (b) that someone's perception of how understood (s)he feels was not associated with the partner's objective level of understanding (partner effect), and (c) perceived understanding, but not actual understanding, was positively associated with dyadic adjustment

Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media

With the rise of social media, millions of people are routinely expressing their moods, feelings, and daily struggles with mental health issues on social media platforms like Twitter. Unlike traditional observational cohort studies conducted through questionnaires and self-reported surveys, we explore the reliable detection of clinical depression from tweets obtained unobtrusively. Based on the analysis of tweets crawled from users with self-reported depressive symptoms in their Twitter profiles, we demonstrate the potential for detecting clinical depression symptoms which emulate the PHQ-9 questionnaire clinicians use today. Our study uses a semi-supervised statistical model to evaluate how the duration of these symptoms and their expression on Twitter (in terms of word usage patterns and topical preferences) align with the medical findings reported via the PHQ-9. Our proactive and automatic screening tool is able to identify clinical depressive symptoms with an accuracy of 68% and precision of 72%.Comment: 8 pages, Advances in Social Networks Analysis and Mining (ASONAM), 2017 IEEE/ACM International Conferenc

An Embodied question answering system for use in the treatment of eating disorders

This paper presents work in progress on implementing an embodied question answering system, Dr. Cecilia, in the form of a virtual caregiver, for use in the treatment of eating disorders. The rationale for the system is grounded in one of the few effective treatments for anorexia and bulimia nervosa. The questions and answers database is encoded using natural language, and is easily updatable by human caregivers without any technical expertise. Matching of users' questions with database entries is performed using a weighted and normalized n-gram similarity function. In this paper we give a comprehensive background to and an overview of the system, with a focus on aspects pertaining to natural language processing and user interaction. The system is currently only implemented for Swedish

Empathic accuracy, meta-perspective, and satisfaction in the coach-athlete relationship

This study investigated the empathic accuracy of sixty coach-athlete dyads, its antecedents (meta-perceptions of relationship) and consequences (perceptions of satisfaction). An adaptation of Ickes's (2001) unstructured dyadic interaction paradigm was used to assess empathic accuracy whereby coach-athlete dyads were filmed during training. A selection of video clips containing the dyads' interactions during a typical training session were shown to them. The dyad members were asked to report their recollected thoughts and/or feelings while making inferences about what their partners' thought and felt at specific points of interaction. Empathic accuracy was estimated by comparing the dyads' self-reports and inferences. The results of a structural equation model analysis indicated an association between members' meta-perceptions or judgments that their partner is positive about the athletic relationship and increased empathic accuracy. Increased empathic accuracy was in turn associated with higher levels of satisfaction. These results are discussed based on issues they raise for theory and measurement

Implicit Measures of Lostness and Success in Web Navigation

In two studies, we investigated the ability of a variety of structural and temporal measures computed from a web navigation path to predict lostness and task success. The user’s task was to find requested target information on specified websites. The web navigation measures were based on counts of visits to web pages and other statistical properties of the web usage graph (such as compactness, stratum, and similarity to the optimal path). Subjective lostness was best predicted by similarity to the optimal path and time on task. The best overall predictor of success on individual tasks was similarity to the optimal path, but other predictors were sometimes superior depending on the particular web navigation task. These measures can be used to diagnose user navigational problems and to help identify problems in website design

A quantum geometric model of similarity

No other study has had as great an impact on the development of the similarity literature as that of Tversky (1977), which provided compelling demonstrations against all the fundamental assumptions of the popular, and extensively employed, geometric similarity models. Notably, similarity judgments were shown to violate symmetry and the triangle inequality, and also be subject to context effects, so that the same pair of items would be rated differently, depending on the presence of other items. Quantum theory provides a generalized geometric approach to similarity and can address several of Tversky’s (1997) main findings. Similarity is modeled as quantum probability, so that asymmetries emerge as order effects, and the triangle equality violations and the diagnosticity effect can be related to the context-dependent properties of quantum probability. We so demonstrate the promise of the quantum approach for similarity and discuss the implications for representation theory in general