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Communication within online platforms supported by chatbots requires algorithms, language processing methods, and an effective visual representation. These are crucial elements for increasing user engagement and making communication more akin to natural conversation. Chatbots compete with other graphic elements within websites or applications, and thus attracting a user's attention is a challenge even before the actual conversation begins. A chatbot may remain unnoticed even with sophisticated techniques at play. Drawing attention to the chatbot area localized within the periphery area can be carried out with the use of various visual characteristics. The presented study analyzed the impact of changes in a chatbot's emotional expressions on user reaction. The aim of this study was to observe, based on user reaction times, whether changes in a chatbot's emotional expressions make it more noticeable. The results showed that users are more sensitive to positive emotions within chatbots, as positive facial expressions were noticed more quickly than negative ones. [ABSTRACT FROM AUTHOR]

Copyright of World & Word / Świat & Słowo is the property of University of Bielsko-Biala and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Featured Application: The proposed e-commerce customer preference monitoring (ECPM) tool can be utilized for any website, but especially e-commerce websites, for collecting a stream of user-activity data, which could be used to adapt an interface to fit user needs in real time. Besides personalizing a website interface, observing user activity can provide information about their preferences, which can be used to dynamically individualize different type of content presented to user, e.g., recommendations of products. Observing user interactions with computer interfaces can lead to better understanding of user needs and, thus, build an intelligent recommender system which will understand and guide each user through the cognitive process of discovering products that would meet individual preferences. Recommender systems play a vital role in e-commerce by increasing the likelihood of transactions and improving sales thanks to presenting personal recommendations. Due to the marketing habituation effect, users are less and less responsive to this type of content. Visual recommendation presentation, in particular the recommendation zone layout can influence the effectiveness of a recommendation. This study examines human–computer interactions for vertical, horizonal, and mixed layouts of recommending interfaces of four major e-commerce stores, and is based on our document object model events-based behavior analysis tool. Results from this implicit feedback study are presented and analyzed, showing that vertical recommendation zones attracted more attention than horizontal ones. [ABSTRACT FROM AUTHOR]

This paper presents the concept of customer relationship management in e-commerce, in particular B2C. The general structure of CRM systems and modules responsible for relationship management have been discussed. E-CRM systems whose main elements are personalization and recommender solutions allow effective use of customer knowledge. The article is a review of literature on the topic. [ABSTRACT FROM AUTHOR]

This article aims to review selected aspects of data mining and knowledge discovery with regard to their role in the information society. Approaches of various researchers to basic notions in the field have been analyzed. Interpretations of KDD stages proposed by chosen experts have been confronted, as well as the CRISP-DM methodology, rule knowledge representation and data mining tasks have been addressed. The article is a review of literature on the topic. [ABSTRACT FROM AUTHOR]

The aim of this paper is to present the idea of using music therapy to support treatment methods utilizing knowledge management. Basing on literature analysis and a review of ways of characterizing music it is proposed to build a knowledge base of sounds and music for the purpose of realizing therapeutic and paratherapeutic processes. This knowledge base underpins an application which is going to support physiotherapeutists, and medical personnel in general, in using music to enhance treatment. [ABSTRACT FROM AUTHOR]

In this paper the problem of computer-aided body posture assessment is discussed with regard to faulty posture prophylaxis. The motivation behind the study was little popularity of this kind of assessment in the work of physiotherapists and other health professionals in Poland, in particular in screening studies. Research results confirmed high quality of computer methods andprovided justification for their wider use. Directions of development for software and its potential uses were also proposed. [ABSTRACT FROM AUTHOR]

Copyright of Colloquia Germanica Stetinensia is the property of Wydawnictwo Naukowe Uniwersytetu Szczecinskiego / University of Szczecin Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper aims to present full results of an e-comerce customer preferences identification study using classification trees. The study led to building classification models based on indicators obtained using implicit feedback. The paper constitutes a starting point for further research in the field of recommender systems. [ABSTRACT FROM AUTHOR]

Copyright of Colloquia Germanica Stetinensia is the property of Wydawnictwo Naukowe Uniwersytetu Szczecinskiego / University of Szczecin Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Handel Wewnêtrzny is the property of Institute for Market, Consumption & Business Cycles Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)