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1 – 10 of over 8000Abdelouahab Zaatri and Billel Bouchemal
This paper presents the design and the implementation of a multimodal operator interface dedicated for planar cable-based robots. Three interactive robot control modes which have…
Abstract
This paper presents the design and the implementation of a multimodal operator interface dedicated for planar cable-based robots. Three interactive robot control modes which have been implemented are namely point and click based control, gesture-based control and voice based control. Point and click based control enables robot control by simply clicking on features appearing on images of the robot workspace. Gestural-based control enables robot control by means of human operator gestures. Voice based control enables robot control by means of natural speech. Successful experiments have been tested on a homemade planar cable-driven robot. The availability and the combination of these three modes improve greatly the capability of the global system.
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The purpose of this paper is to provide details of recent developments in human‐robot interfacing technologies.
Abstract
Purpose
The purpose of this paper is to provide details of recent developments in human‐robot interfacing technologies.
Design/methodology/approach
This paper considers recently developed or emerging technologies which allow humans to interact with robots in novel ways. It first considers inexpensive robots which are simple to programme and which can work alongside humans in a manufacturing environment. It then discusses assistive robots, which aim to help the aged or infirm and finally, the latest progress in controlling robots with the human brain is reported.
Findings
This shows that new and improved human‐robot interfacing technologies are the topic of a major development effort. Low‐cost robots that can readily be commissioned and operated in close proximity to humans are starting to impact the market. Assistive robot technology is progressing due to novel man‐machine interfacing techniques and the first instances of quadriplegic patients using their mind to control robots to manipulate object in three‐dimensional space is discussed.
Originality/value
This paper provides details of significant, recent developments in human‐robot interfacing.
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Very low click-through rates (CTR) raise serious questions about the effectiveness of banner advertisements. However, we believe that the effect of a banner ad is not limited by…
Abstract
Very low click-through rates (CTR) raise serious questions about the effectiveness of banner advertisements. However, we believe that the effect of a banner ad is not limited by clicks. Banner ad information itself can be processed by the audience.
We propose that the exposure effect of a banner ad exists even when the banner is not clicked. The results of our experiments strongly support this effect. Analyses also revealed that a non-clicked banner ad can create as strong of an exposure effect as clicked banner ads. Also, audiences that are able to recall the existence of the banner ad on a web page develop stronger implicit memory than those who cannot. Researchers are invited to re-test these interesting findings in various cultures with differing levels of Internet penetration and experience.
Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some…
Abstract
Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.
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Robert Kozielski, Grzegorz Mazurek, Anna Miotk and Artur Maciorowski
It seems that the Internet boom, which started at the end of the 1990s and finished with the spectacular collapse of the so-called dotcoms, is probably over. We are currently…
Abstract
It seems that the Internet boom, which started at the end of the 1990s and finished with the spectacular collapse of the so-called dotcoms, is probably over. We are currently enjoying a period of fast and stable growth. This is manifested by the growing number of both Internet users and companies which – to an ever-increasing extent – use the Internet as a form of communication (both internal and external), promotion, sales etc. Expenditures on Internet advertising are growing continuously and now constitute more than 25% of all advertising expenditure. A natural consequence of this development is the need for the standardisation and organisation of the world of the Internet. These activities will result in a greater awareness of the benefits which this medium provides, increasing the possibilities of its use, and – most importantly – the opportunity to evaluate the return on investments made on the Internet. Nowadays, it is clear that many companies are striving to increase the quality of their activities on the Internet or to improve the effectiveness of such activities. As a consequence, the number of companies that look for indices which would enable the making of more precise and effective decisions in the scope of online operations is growing.
This chapter is dedicated to the phenomenon of the increasing role of the Internet in business, including the scale of its use by Polish and international companies. We present the most commonly used measures of marketing activities on the Internet and in social media. This group includes the indices which make it possible to determine whether a company actually needs a website. Other measures allow for the improvement in the effectiveness of the activity on the Internet, whereas others specify the costs of activities on the Internet and often serve as the basis for settlements between a company and advertising agencies or companies specialising in website design. It is worth emphasising that the Paid, Earned, Shared, Owned (PESO) model, worked out by Don Bartholomew,1 is the basis for creation and description of indices concerning social media. This model has gained certain popularity in the social media industry. It does not, however, specify how individual indices should be named and calculated. It maps already existing indices and adapts them to specific levels of marketing communication measurement. All the measures indicated by the author of the model have been grouped into five major areas: exposure, engagement, brand awareness, action and recommendations. This model– similarly to all models of performance measurement – inspired by the sales funnel concept, adjusts certain standard indices and proposals of measurements for specific levels. Additionally, the measures are divided into four types, depending on who the owner of the content is: Paid (P) – refers to all forms of paid content; Owned (O) – all websites and web properties controlled by a company or brand; Earned (E) – the contents about a given brand created spontaneously by Internet users; and Shared (S) – the contents shared by Internet users.
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Koraljka Golub, Marianne Lykke and Douglas Tudhope
The purpose of this paper is to explore the potential of applying the Dewey Decimal Classification (DDC) as an established knowledge organization system (KOS) for enhancing social…
Abstract
Purpose
The purpose of this paper is to explore the potential of applying the Dewey Decimal Classification (DDC) as an established knowledge organization system (KOS) for enhancing social tagging, with the ultimate purpose of improving subject indexing and information retrieval.
Design/methodology/approach
Over 11,000 Intute metadata records in politics were used. Totally, 28 politics students were each given four tasks, in which a total of 60 resources were tagged in two different configurations, one with uncontrolled social tags only and another with uncontrolled social tags as well as suggestions from a controlled vocabulary. The controlled vocabulary was DDC comprising also mappings from the Library of Congress Subject Headings.
Findings
The results demonstrate the importance of controlled vocabulary suggestions for indexing and retrieval: to help produce ideas of which tags to use, to make it easier to find focus for the tagging, to ensure consistency and to increase the number of access points in retrieval. The value and usefulness of the suggestions proved to be dependent on the quality of the suggestions, both as to conceptual relevance to the user and as to appropriateness of the terminology.
Originality/value
No research has investigated the enhancement of social tagging with suggestions from the DDC, an established KOS, in a user trial, comparing social tagging only and social tagging enhanced with the suggestions. This paper is a final reflection on all aspects of the study.
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Di Wang, Deborah Richards, Ayse Aysin Bilgin and Chuanfu Chen
Xinjian Li, Yu Zhang, Juan Wang and Xiaoling Li
In online exchange platforms' sponsored search advertising, the array of product quality signals within a keyword search results list plays a crucial role in shaping buyers'…
Abstract
Purpose
In online exchange platforms' sponsored search advertising, the array of product quality signals within a keyword search results list plays a crucial role in shaping buyers' purchasing decisions. This research seeks to explore the impact of various quality signals – namely, ranking position, seller reputation and product price – on ad clicks. Additionally, it examines the role of keyword attributes, such as specificity and popularity, in modulating the effects of these quality signals on advertising clicks.
Design/methodology/approach
A total of 5,763 effective data points were collected from a leading B2B electronic platform company, and we employed negative binomial regression with Heckman correction methods to test the hypotheses.
Findings
The results indicate that in online exchange platforms, search ad clicks are significantly and positively affected by displayed signals such as ranking position, seller reputation and product price information. Notably, a U-shaped relationship emerges between product price and ad clicks. Furthermore, keyword specificity and popularity distinctly moderate the impact of these displayed signals on ad clicks within online exchange platforms.
Originality/value
This paper addresses the gap in existing research on search advertising by methodically analyzing the impact of various signals displayed in search results and how keyword attributes moderate ad clicks, all through a signaling theory lens.
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Javier De Andrés, Beatriz Pariente, Martin Gonzalez-Rodriguez and Daniel Fernandez Lanvin
The purpose of this paper is to identify demographic differences based on how users interact with web applications. The research is needed to develop future systems able to adapt…
Abstract
Purpose
The purpose of this paper is to identify demographic differences based on how users interact with web applications. The research is needed to develop future systems able to adapt the representation of online information to the user’s specific needs and preferences improving its usability. The following question guides this quest: is there a direct relationship between age and/or gender and interaction?
Design/methodology/approach
GOMS (goals, operators, methods, and selection rules) analysis was used to reduce complex interaction tasks into basic operators like pointing, dragging, typing, etc. An experiment was designed to analyse the user performance in the use of these operators through five complex tasks: point-and-click, drag-and-drop, text selection, text edition and menu selection. The sample comprises 592 individuals which took part in the experiment. The performance was analysed using multivariate regression analysis. User laterality and the the user experience were used as control variables.
Findings
The factors studied are significant enough to support user classification. The analysis evidenced that men performed significantly better than women when executing interaction pointing and dragging GOMS’s operators, but no significant differences arose with regard to the performance in the typing operators. Older users performed worse in all the interaction tasks. No significant performance differences were detected between left and right-handed users.
Research limitations/implications
The study pretends to lay the ground for developing artificial intelligence-based classification systems (e.g. neural networks, decision trees, etc.) able to detect significant differences in user performance, classifying users according to their age, gender and laterality.
Practical implications
This user profiling would drive the organisation, selection and representation of the online information according to the specific preferences and needs of each user. This would allow the design of new personalisation algorithms able to perform dynamic adaptation of user interfaces in order to improve the usability of online information systems.
Originality/value
This work extends previous research on user performance under a new approach and improved accuracy. First, it relies on the combined and simultaneous analysis of ageing and gender and the use of user laterality and experience as control variables. Second, the use of the GOMS analysis allowed the design of tests that closely resemble the user interaction in online information systems. Third, the size of the sample used in this analysis is much bigger than those used in previous works, allowing a more thorough data analysis which includes the estimation of an advanced model which is quantile regression.
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