Santosh Kumar Kalwar
Lappeenranta University of Technology
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Featured researches published by Santosh Kumar Kalwar.
international conference on human computer interaction | 2009
Santosh Kumar Kalwar; Kari Heikkinen
In this paper a conceptualization of human anxiety on the Internet is introduced; it is built on the understanding of human behavior with regard to technology. The objective of this paper is to conceptualize the human anxiety. An integral part of understanding is an inter-disciplinary (psychology science, cognitive science, behavioral science and communication technology) literature review, of which and overall summary is presented. The understanding is conceptualized by designing, implementing and evaluating through a developed user study model. In this paper the preliminary result of utilizing the developed user study found seven particular anxiety areas which need further studies.
international conference on human-computer interaction | 2013
Santosh Kumar Kalwar; Kari Heikkinen; Jari Porras
The purpose of this paper is to determine if Internet anxiety is a myth or reality using literature, questionnaires, and analysis of the collected data. Results showed that the Internet anxiety phenomenon is mostly reality. By placing strong emphasis on the existent Internet anxiety phenomenon, the HCI community could constructively build effective tools and techniques to mitigate users’ anxiety.
international conference on human computer interaction | 2011
Santosh Kumar Kalwar; Kari Heikkinen; Jari Porras
This chapter introduces a relationship between Internet anxiety and human behavior. The Internet has become an avenue for service provision, third-party applications, connectivity and social media. Thus, a clear understanding and comprehensive description of the relationship between Internet anxiety and human behavior becomes essential. The objective of this paper is to provide an assessment of the behavior and anxiety patterns of different age groups on the Internet. The study contributes to knowledge on human behavior and Internet anxiety. The preliminary investigation was realized with a small number of participants using qualitative research methodologies, including a structured themed interview. The result indicates that participants felt more anxiousness on Internet time delay anxiety, Experience anxiety, and Net Search anxiety.
international conference on online communities and social computing | 2013
Santosh Kumar Kalwar; Kari Heikkinen; Jari Porras
Understanding human behavior on the Internet is a complex problem. One important part of the problem is measuring cultural attributes and their effect on human behavior. A clear understanding and comprehensive description of the link between human behavior and cultural attributes is essential for quantifying behavioral change. The objective of this paper is to introduce the result of a survey in which (n = 152) university participants participated in quantifying cultural attributes. The study results suggest that human behavior on the Internet can be linked to various cultural attributes. Notably the qualitative feedback and quantitative statistical results found following the cultural attributes to be important: safety, privacy, self, intuition and networking.
computer systems and technologies | 2012
Santosh Kumar Kalwar; Kari Heikkinen; Jari Porras
In this paper, we describe a paper-based survey for measuring seven Internet anxiety types. A paper-based survey was distributed among seventy university participants and forty-nine responded with a valid response. The evaluation and analysis of seven types of Internet anxiety revealed internal consistency and acceptable reliability. The findings also suggested for omitting non-significant Internet anxiety types. The results showed that a user feeling while browsing is independent on level of familiarity with the Internet contents.
Information Sciences | 2011
Santosh Kumar Kalwar; Kari Heikkinen; Jari Porras
The Internet has recently emerged with new kind of services, applications and countless contents. User reaction plays essential role in interacting with the Internet. The theoretical concepts on feelings are extracted from psychology, phenomenology and computer science. It is understood that feelings are subjective experience of users aroused from different emotions. As feelings changes based on time, circumstance, people and environment, it is extremely difficult to assess feelings objectively. Users interaction on the Internet is based on contents (text, audio and video materials) and context (past experience, surroundings, circumstances, environment, background, or settings). Thus, the potential of understanding feelings and its measure is very important. In this paper, a systematic measure of feelcalc module is introduced to measure users reaction in order to reduce human anxiety on the Internet.
international conference on human-computer interaction | 2013
Santosh Kumar Kalwar; Kari Heikkinen; Jari Porras
The Internet is a dynamic, democratic, and multicultural platform where a wide range of users access sites daily. We cannot presume users on the Internet will understand every single word/term used on any given site. This paper presents a concept for assessing users’ anxiety regarding commonly used words on the Internet, particularly words related to technology and computer science. The concept is highlighted by an application, called SWord, which enables users to collaborate, share, play, and mitigate with difficult words on the web.
Proceedings of International Conference on Making Sense of Converging Media | 2013
Santosh Kumar Kalwar; Kari Heikkinen; Jari Porras
The Internet experience has drastically changed as social networking sites have proliferated and become a major part of Internet usage. This change in the Internet landscape and Internet usage poses an interesting challenge for scales addressing Internet behavior. In this work, we describe further development of an Internet anxiety scale for assessment of Internet behavior, presenting underlying concepts, and analysis and evaluation of human anxiety on the Internet. A study was conducted with initially twenty-five participants, and later a survey with (n=385) university participants was carried out to determine MIAS factors. Based on analysis of the results of the surveys and using a modified Internet anxiety scale (MIAS), user data can be leveraged to measure Internet anxiety. The results of the study illustrate an ongoing progression in addressing issues faced by anxious users and indicate future directions of measuring Internet anxiety.
IEEE Potentials | 2010
Santosh Kumar Kalwar
Procedia - Social and Behavioral Sciences | 2012
Santosh Kumar Kalwar; Kari Heikkinen; Jari Porras