scholarly journals Adapting a Virtual Advisor’s Verbal Conversation Based on Predicted User Preferences: A Study of Neutral, Empathic and Tailored Dialogue

2020 ◽  
Vol 4 (3) ◽  
pp. 55
Author(s):  
Hedieh Ranjbartabar ◽  
Deborah Richards ◽  
Ayse Aysin Bilgin ◽  
Cat Kutay ◽  
Samuel Mascarenhas
Keyword(s):  
Deep Understanding ◽  
User Model ◽  
User Preferences ◽  
Psychological State ◽  
Virtual Agents ◽  
Agent Architecture ◽  
Neutral Group ◽  
Gender Culture ◽  
Current State ◽  
And Behavior

Virtual agents that improve the lives of humans need to be more than user-aware and adaptive to the user’s current state and behavior. Additionally, they need to apply expertise gained from experience that drives their adaptive behavior based on deep understanding of the user’s features (such as gender, culture, personality, and psychological state). Our work has involved extension of FAtiMA (Fearnot AffecTive Mind Architecture) with the addition of an Adaptive Engine to the FAtiMA cognitive agent architecture. We use machine learning to acquire the agent’s expertise by capturing a collection of user profiles into a user model and development of agent expertise based on the user model. In this paper, we describe a study to evaluate the Adaptive Engine, which compares the benefit (i.e., reduced stress, increased rapport) of tailoring dialogue to the specific user (Adaptive group) with dialogues that are either empathic (Empathic group) or neutral (Neutral group). Results showed a significant reduction in stress in the empathic and neutral groups, but not the adaptive group. Analyses of rule accuracy, participants’ dialogue preferences, and individual differences reveal that the three groups had different needs for empathic dialogue and highlight the importance and challenges of getting the tailoring right.

Personalization Approaches for Ranking

2017 ◽  
Vol 7 (1) ◽  
pp. 1-16
Author(s):  
Madhuri A. Potey ◽  
Pradeep K. Sinha
Keyword(s):  
User Satisfaction ◽  
State Of The Art ◽  
User Model ◽  
Research Trends ◽  
User Preferences ◽  
Machine Learning Algorithms ◽  
User Preference ◽  
Information Need ◽  
And Behavior ◽  
Available Information

Search engine technologies are evolving to satisfy the user's ever increasing information need; but are yet to achieve perfection especially in ranking. With the exponential growth in the available information on the internet; ranking has become vital for satisfactory search experience. User satisfaction can be ensured to some extent by personalizing the search results based on user preferences which can be explicitly stated or learned from user's search behavior. Machine learning algorithms which predict user preference from the available information related to the user are extensively experimented for personalization. Among several studies undertaken for re-ranking the documents, many focus on the user. Such approaches create user model to capture the search context and behavior. This study attempts to analyze the research trends in user model based personalization and discuss experimental results in personalized information retrieval area. The authors experimented to extend the state of the art in the specific areas of personalization.

scholarly journals Stage excitement as individual psychological state of the vocalist

2020 ◽  
pp. 131-134
Author(s):  
N. K. Korneev ◽  
Keyword(s):  
Individual Characteristics ◽  
Great Emphasis ◽  
The State ◽  
Psychological State ◽  
Public Performance ◽  
Emotional Component ◽  
The Individual ◽  
And Behavior

The state and behavior of a singer on the stage has not been fully explored and studied. This article is an attempt to understand the causes of such a phenomenon as the excitement of a vocalist who goes on stage and performs in front of an audience. The unusual psychological state that an artist develops on the stage during a public performance brings many unexpected «discoveries» to the performer and requires detailed study. Unlike ordinary excitement, the author designated it as «stage excitement» and pointed out the factors that lead to the occurrence of such a state. The ways of neutralizing the negative sides of the artist’s state on the stage are analyzed. A great emphasis in the work is placed on the study of the psychological portrait of the performer and the psycho-emotional component of his personality as well as the characteristic moments associated with the individual characteristics of the vocalist.

scholarly journals New Methods for Assessing Rapid Changes in Suicide Risk

2021 ◽  
Vol 12 ◽  
Author(s):  
Elizabeth D. Ballard ◽  
Jessica R. Gilbert ◽  
Christina Wusinich ◽  
Carlos A. Zarate
Keyword(s):  
Suicide Risk ◽  
Suicidal Thoughts ◽  
New Techniques ◽  
Current State ◽  
Digital Phenotyping ◽  
Rapid Changes ◽  
And Behavior ◽  
Ecological Momentary ◽  
Assessment Strategies ◽  
Suicidal Thoughts And Behaviors

Rapid-acting interventions for the suicide crisis have the potential to transform treatment. In addition, recent innovations in suicide research methods may similarly expand our understanding of the psychological and neurobiological correlates of suicidal thoughts and behaviors. This review discusses the limitations and challenges associated with current methods of suicide risk assessment and presents new techniques currently being developed to measure rapid changes in suicidal thoughts and behavior. These novel assessment strategies include ecological momentary assessment, digital phenotyping, cognitive and implicit bias metrics, and neuroimaging paradigms and analysis methodologies to identify neural circuits associated with suicide risk. This review is intended to both describe the current state of our ability to assess rapid changes in suicide risk as well as to explore future directions for clinical, neurobiological, and computational markers research in suicide-focused clinical trials.

Social Epigenetics of Human Behavior

2018 ◽  
Author(s):  
Daniel E. Adkins ◽  
Kelli M. Rasmussen ◽  
Anna R. Docherty
Keyword(s):  
Social Dynamics ◽  
Black Box ◽  
Mediating Role ◽  
Current State ◽  
Genome Wide ◽  
Social Adversity ◽  
Underlying Mechanisms ◽  
And Behavior ◽  
Negative Health Outcomes ◽  
Downstream Gene Expression

It is well established that extreme social adversity can lead to negative health outcomes decades after the resolution of the precipitating environmental insult. Although the underlying mechanisms through which such adversity gets “under the skin” to become biologically embedded have long been considered a black box, recent research has indicated an important mediating role for epigenetic mechanisms—molecular modifications that regulate gene activity without changing the DNA sequence. With technical and scientific developments now enabling genome-wide epigenetic studies in humans, behavioral researchers have an unprecedented opportunity to empirically map the ways in which social dynamics become epigenetically embedded, influencing downstream gene expression, health, and behavior. This chapter examines the current state of social epigenetics research and discusses the opportunities and challenges facing this emerging field.

A Survey on Recent Recommendation Systems for the Tourism Industry

2020 ◽  
pp. 205-237
Author(s):  
S. Ranjith ◽  
P. Victer Paul
Keyword(s):  
User Satisfaction ◽  
Recommendation System ◽  
Recommendation Systems ◽  
Tourism Industry ◽  
User Preferences ◽  
Reference List ◽  
Current State ◽  
Recent Recommendation ◽  
Important Field ◽  
Preference Criteria

Data mining is an important field that derives insights from the data and recommendation systems. Recommendation systems have become common in recent years in the field of tourism. These are widely used as a tool that can input various selection criteria and user preferences and yields travel recommendations to tourists. User's style and preferences should be constructed accurately so as to supply most relevant suggestions. Researchers proposed various types of tourism recommendation systems (TRS) in order to improve the accuracy and user satisfaction. In this chapter, the authors studied the current state of tourism recommendation system models and discussed their preference criteria. As a part of that, the authors studied various important preference factors in TRS and categorized them based on their likeness. This chapter reports TRS model future directions and compiles a comprehensive reference list to assist researchers.

Evolutionary Approaches to Health Issues and Behaviors Across the Life Course

2019 ◽  
pp. 273-302
Author(s):  
Daniel J. Kruger ◽  
Jessica S. Kruger
Keyword(s):  
Evolutionary Theory ◽  
Life History Theory ◽  
Future Research ◽  
Health Issues ◽  
Current State ◽  
Health Related Research ◽  
Health Related ◽  
State Of Research ◽  
The Life Course ◽  
And Behavior

Health-related research is broad, diverse, and fragmented theoretically, methodologically, and across disciplines. The understanding and improvement of human health would be accelerated by establishing a universal and deep framework integrating varied undertakings. This framework is evolutionary theory, the most powerful explanatory system in the life sciences and the only framework that can unify knowledge in otherwise disparate fields of human research. Darwinian medicine has already made considerable progress in the practical understanding of human physiology and other areas informing medical care. Within evolutionary theory, life history theory in particular holds the promise of promoting understanding of variation in behavioral patterns related to health and why they vary consistent with environmental conditions. This chapter describes the current state of research exemplifying an evolutionary approach to health-related psychology and behavior and outlines directions for future research and intervention efforts.

Cognitive Enhancement in Bipolar Disorder

2017 ◽  
Author(s):  
Katie Mahon ◽  
Manuela Russo ◽  
M. Mercedes Perez-Rodriguez
Keyword(s):  
Bipolar Disorder ◽  
Randomized Clinical Trials ◽  
Cognitive Enhancement ◽  
Deep Understanding ◽  
Adjunctive Treatment ◽  
Neurocognitive Deficits ◽  
Pharmacological Agents ◽  
Level Of Functioning ◽  
Current State ◽  
Dopaminergic Agents

Neurocognitive deficits are acknowledged as integral features of bipolar disorder (BD) and are known to contribute to the compromised level of functioning in individuals with BD. This chapter provides an overview of the current state of cognitive enhancement in BD. Few pharmacological agents have been investigated with regard to their potential for pro-cognitive effects in BD. Dopaminergic agents (pramipexole) and stimulants (modafinil, armodafinil, and amphetamine) as adjunctive treatment in BD appear to be promising cognitive enhancers, and there are few ongoing randomized clinical trials targeting both cognitive dysfunctions and clinical symptomatology in BD. Glutamatergic agents (d-cycloserine) may hold promise as potential cognitive enhancing agents in BD; however, as for dopaminergic agents and stimulants, no conclusive data exist. Larger samples and longer follow-up are needed to obtain a deep understanding of the efficacy and safety of these compounds and their role in the neurobiological mechanisms underpinning cognition in BD.

INTERACTION-ORIENTED SOFTWARE DEVELOPMENT

2001 ◽  
Vol 11 (03) ◽  
pp. 259-279 ◽  
Author(s):  
MICHAEL N. HUHNS
Keyword(s):  
Software Engineering ◽  
Software Development ◽  
Software Components ◽  
New Approach ◽  
Reusable Software ◽  
Current State ◽  
Computational Paradigm ◽  
And Behavior

This paper describes a new approach to the production of robust software. We first motivate the approach by explaining why the two major goals of software engineering — correct software and reusable software — are not being addressed by the current state of software practice. We then describe a methodology based on active, cooperative, and persistent software components, i.e., agents, and show how the methodology produces robust and reusable software. We derive requirements for the structure and behavior of the agents, and report on preliminary experiments on applications based on the methodology. We conclude with a roadmap for development of the methodology and ruminations about uses for the new computational paradigm.

scholarly journals Kilka uwag o narracji biograficznej czeskich strażaków (projekt Społeczeństwo czeskie w okresie tzw. normalizacji i transformacji w świetle oral history)

2013 ◽  
Vol 3 ◽  
pp. 175-185
Author(s):  
Hana V. Bortlová
Keyword(s):  
Oral History ◽  
Current Knowledge ◽  
Historical Analysis ◽  
Historical Research ◽  
Current State ◽  
Before And After ◽  
Methodological Problems ◽  
State Of Research ◽  
And Behavior ◽  
Attitudes And Behavior

Through historical analysis and interpretation of memories of Czech/Czechoslovak firefighters who have been professionally active since 1960s until 1990s (and/or beyond), his paper aims to analyze the ways in which his socio-professional group has been behaving during the last 40–50 years. Given that only very little historical research has been done on members of this group, the paper represents a first pioneer attempt. The research is a continuation of previous research projects conducted by Czech oral historians focused on working class members and on changes of their opinions, attitudes and behavior before and after 1989. The author’s ambition is to contribute to the current knowledge of the nature and specifics of the mentioned „normalization” regime (1969–1989) as well as the „transformation-to-democracy” era (1990s) in Czechoslovakia. In the present paper the author outlines the current state of research (20 conducted interviews with 10 firefighters as to the end of 2012), comments on some methodological problems associated with oral-historical research of this group and offers her interpretations of selected topics.

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