In the event of a disaster, many people post a lot of information on SNS that promotes or inhibits action we designate this information "behavioral facilitation information". Such information is likely to have various effects on user behavior. A wide ...

Background: Risk-taking is prevalent in a host of activities performed by software engineers on a daily basis, yet there is scant research on it. Aims and Method: We study if software engineers' risk-taking is affected by framing effects and by ...

Artificial Intelligence is seen as humanity’s current best bet to solve the looming crisis in healthcare. Conversational Agents, or chatbots, rely on advances in AI and are increasingly investigated in the context of digital mental health care. Given ...

In this paper, we propose an approach to predict customers’ personalities leveraging two modalities of customers’ data: (a) service usages logs of online services and (b) visual data collected in physical stores by surveillance cameras (e.g., gait and ...

The article describes a system analysis, in the scope of conducting a personality assessment based on questionnaires and comparing it with choices made in the designed interactive story. As an effect, the authors propose an appropriate IT solution ...

Gamification researchers deem adolescents a particularly interesting audience for tailored gamification. However, empirical validation of popular player typologies and personality trait models thus far has been limited to adults. As adolescents exhibit ...

Personality is an essential human attribute, and plays an important role for personalization of face-to-face services that improves sales and customer satisfaction in a variety of different business domains. Most studies addressing personality ...

To realize natural-looking virtual agents, one key technical challenge is to automatically generate nonverbal behaviors from spoken language. Since nonverbal behavior varies depending on personality, it is important to generate these nonverbal behaviors ...

We have become increasingly reliant on recommender systems to help us make decisions in our daily live. As such, it is becoming essential to explain to users how these systems reason to enable them to correct system assumptions and to trust the system. ...

This paper studies an approach for predicting an individual's perception of the advertising appeal of ad design. Although previous research has shown that people perceive an ad as more appealing when its design matches their psychological traits, the ...

Culture - an aggregation of people's location, language, tribe and economic activities might have a role to play in the security decisions of users. Culture in this context is even more relevant in most African societies as there are many ethnic groups. ...

Differences in the learners' personality have an impact on their learning outcomes and achievements. Therefore, there is a need to automatically predict and identify their personalities in an unobtrusive way, and build the learner model accordingly. In ...

Intelligent Personal Assistants (IPAs) have become a mainstream product and often show a high level of variance in terms of their interaction philosophy. For example, Google's Now has no personality at all, whereas personality plays a strong part in the ...

Research has shown that the perceived credibility of a website is critical to its success. However, little is known about how individual differences influence this important factor of web design. In this paper, we investigate how personality traits ...

An incisive understanding of user personality is not only essential to many scientific disciplines, but also has a profound business impact on practical applications such as digital marketing, personalized recommendation, mental diagnosis, and human ...

This proposed thesis work explores two research areas in the domain of Recommender Systems [RS] , algorithms and their real world applications. First is related to identification of Gray Sheep [GS] users and Influential Users [IU] in any system using ...

This paper presents an interactive visualization tool, PersonalityViz, to help people understand their personality traits derived from social media. The system uses the Linguistic Inquiry and Word Count (LIWC) text analysis tool and LIWC/Big Five ...

The user's personality in Human-Computer Interaction (HCI) plays an important role for the overall success of the interaction. The present study focuses on automatically recognizing the Big Five personality traits from 2-5 min long videos, in which the ...

The human-computer dialogue research field has been studying interaction with computers since the early stage of Artificial Intelligence, however, research has often focused on very practical tasks to be completed with the dialogues. A new trend in the ...

Personality plays an important role in the way people manage the images they convey in self-presentations and employment interviews, trying to affect the other"s first impressions and increase effectiveness. This paper addresses the automatically ...