Pub Date : 2024-01-08DOI: 10.1016/j.teler.2024.100117
Phillip Ozimek , Julia Brailovskaia , Hans-Werner Bierhoff , Elke Rohmann
Materialism describes the constant striving to increase and present one's possessions in the form of both material and immaterial goods. Social media, such as Instagram or Twitter, offer materialists new opportunities to pursue and satisfy their materialistic needs and goals. Preliminary work has already shown that materialists use social media to compare their possessions with those of other users and to accumulate digital possessions (in the form of friendships or followers). However, materialistic use of social media does not only bring benefits but could also negatively impact satisfaction with life (as a marker of subjective well-being) under certain conditions. In an online study (N = 1230), we examined the extent to which materialism on social media is associated with lower satisfaction with life. Evaluation of a sequential mediation model revealed that highly materialistic participants exhibited higher social comparison orientation, stronger associations with passive social media use as well as social media addiction, and thus reported higher stress experience resulting in lower satisfaction with life. Further results as well as limitations of the study and an outlook are discussed.
{"title":"Materialism in social media–More social media addiction and stress symptoms, less satisfaction with life","authors":"Phillip Ozimek , Julia Brailovskaia , Hans-Werner Bierhoff , Elke Rohmann","doi":"10.1016/j.teler.2024.100117","DOIUrl":"https://doi.org/10.1016/j.teler.2024.100117","url":null,"abstract":"<div><p>Materialism describes the constant striving to increase and present one's possessions in the form of both material and immaterial goods. Social media, such as Instagram or Twitter, offer materialists new opportunities to pursue and satisfy their materialistic needs and goals. Preliminary work has already shown that materialists use social media to compare their possessions with those of other users and to accumulate digital possessions (in the form of friendships or followers). However, materialistic use of social media does not only bring benefits but could also negatively impact satisfaction with life (as a marker of subjective well-being) under certain conditions. In an online study (<em>N</em> = 1230), we examined the extent to which materialism on social media is associated with lower satisfaction with life. Evaluation of a sequential mediation model revealed that highly materialistic participants exhibited higher social comparison orientation, stronger associations with passive social media use as well as social media addiction, and thus reported higher stress experience resulting in lower satisfaction with life. Further results as well as limitations of the study and an outlook are discussed.</p></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"13 ","pages":"Article 100117"},"PeriodicalIF":0.0,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772503024000033/pdfft?md5=9a551afba43046ab99cb5afad3e9ca3e&pid=1-s2.0-S2772503024000033-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139434070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-08DOI: 10.1016/j.teler.2024.100116
Sukhpal Singh Gill , Huaming Wu , Panos Patros , Carlo Ottaviani , Priyansh Arora , Victor Casamayor Pujol , David Haunschild , Ajith Kumar Parlikad , Oktay Cetinkaya , Hanan Lutfiyya , Vlado Stankovski , Ruidong Li , Yuemin Ding , Junaid Qadir , Ajith Abraham , Soumya K. Ghosh , Houbing Herbert Song , Rizos Sakellariou , Omer Rana , Joel J.P.C. Rodrigues , Rajkumar Buyya
Over the past six decades, the computing systems field has experienced significant transformations, profoundly impacting society with transformational developments, such as the Internet and the commodification of computing. Underpinned by technological advancements, computer systems, far from being static, have been continuously evolving and adapting to cover multifaceted societal niches. This has led to new paradigms such as cloud, fog, edge computing, and the Internet of Things (IoT), which offer fresh economic and creative opportunities. Nevertheless, this rapid change poses complex research challenges, especially in maximizing potential and enhancing functionality. As such, to maintain an economical level of performance that meets ever-tighter requirements, one must understand the drivers of new model emergence and expansion, and how contemporary challenges differ from past ones. To that end, this article investigates and assesses the factors influencing the evolution of computing systems, covering established systems and architectures as well as newer developments, such as serverless computing, quantum computing, and on-device AI on edge devices. Trends emerge when one traces technological trajectory, which includes the rapid obsolescence of frameworks due to business and technical constraints, a move towards specialized systems and models, and varying approaches to centralized and decentralized control. This comprehensive review of modern computing systems looks ahead to the future of research in the field, highlighting key challenges and emerging trends, and underscoring their importance in cost-effectively driving technological progress.
{"title":"Modern computing: Vision and challenges","authors":"Sukhpal Singh Gill , Huaming Wu , Panos Patros , Carlo Ottaviani , Priyansh Arora , Victor Casamayor Pujol , David Haunschild , Ajith Kumar Parlikad , Oktay Cetinkaya , Hanan Lutfiyya , Vlado Stankovski , Ruidong Li , Yuemin Ding , Junaid Qadir , Ajith Abraham , Soumya K. Ghosh , Houbing Herbert Song , Rizos Sakellariou , Omer Rana , Joel J.P.C. Rodrigues , Rajkumar Buyya","doi":"10.1016/j.teler.2024.100116","DOIUrl":"10.1016/j.teler.2024.100116","url":null,"abstract":"<div><p>Over the past six decades, the computing systems field has experienced significant transformations, profoundly impacting society with transformational developments, such as the Internet and the commodification of computing. Underpinned by technological advancements, computer systems, far from being static, have been continuously evolving and adapting to cover multifaceted societal niches. This has led to new paradigms such as cloud, fog, edge computing, and the Internet of Things (IoT), which offer fresh economic and creative opportunities. Nevertheless, this rapid change poses complex research challenges, especially in maximizing potential and enhancing functionality. As such, to maintain an economical level of performance that meets ever-tighter requirements, one must understand the drivers of new model emergence and expansion, and how contemporary challenges differ from past ones. To that end, this article investigates and assesses the factors influencing the evolution of computing systems, covering established systems and architectures as well as newer developments, such as serverless computing, quantum computing, and on-device AI on edge devices. Trends emerge when one traces technological trajectory, which includes the rapid obsolescence of frameworks due to business and technical constraints, a move towards specialized systems and models, and varying approaches to centralized and decentralized control. This comprehensive review of modern computing systems looks ahead to the future of research in the field, highlighting key challenges and emerging trends, and underscoring their importance in cost-effectively driving technological progress.</p></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"13 ","pages":"Article 100116"},"PeriodicalIF":0.0,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772503024000021/pdfft?md5=dc0c925edf40c8ebcb1ee23b7c4ea071&pid=1-s2.0-S2772503024000021-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139458028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-27DOI: 10.1016/j.teler.2023.100112
Christian Montag , Preslav Nakov , Raian Ali
Artificial intelligence (AI) is built into many products and has the potential to dramatically impact societies around the world.
This short theoretical paper aims to provide a simple framework that might help us understand how the introduction and/or use of products with AI might influence the well-being of humans.
It is proposed that considering the dynamic Interplay between variables stemming from Modality, Person, Area, Culture and Transparency categories will help to understand the influence of AI on well-being. The Modality category encompasses areas such as the degree of AI being interactive, informational versus actualizing, or autonomous. The Person variable contains variables such as age, gender, personality, technological self-efficacy, and perceived competence when interacting with AI, whereas the Area variable can comprise a certain product where AI is in-built or a certain domain where AI is used to make a difference (such as the health sector, military sector, education sector, etc.). The Culture variable is of importance to understand because cultural settings might shape attitudes towards AI. Finally, this might also be true for transparent AI (or understandable/explainable AI), with high degrees of transparency likely to elicit trust.
The proposed model suggests that there is no easy answer when one seeks to understand the impact of AI on the world and humans. Only by considering a myriad number of variables in a model, summed up in the acronym IMPACT (Interaction/Interplay of Modality-Person-Area-Culture-Transparency), we might get closer to an understanding of how AI impacts individuals’ well-being.
{"title":"Considering the IMPACT framework to understand the AI-well-being-complex from an interdisciplinary perspective","authors":"Christian Montag , Preslav Nakov , Raian Ali","doi":"10.1016/j.teler.2023.100112","DOIUrl":"https://doi.org/10.1016/j.teler.2023.100112","url":null,"abstract":"<div><p>Artificial intelligence (AI) is built into many products and has the potential to dramatically impact societies around the world.</p><p>This short theoretical paper aims to provide a simple framework that might help us understand how the introduction and/or use of products with AI might influence the well-being of humans.</p><p>It is proposed that considering the dynamic <em>I</em>nterplay between variables stemming from <em>M</em>odality, <em>P</em>erson, <em>A</em>rea, <em>C</em>ulture and <em>T</em>ransparency categories will help to understand the influence of AI on well-being. The Modality category encompasses areas such as the degree of AI being interactive, informational versus actualizing, or autonomous. The Person variable contains variables such as age, gender, personality, technological self-efficacy, and perceived competence when interacting with AI, whereas the Area variable can comprise a certain product where AI is in-built or a certain domain where AI is used to make a difference (such as the health sector, military sector, education sector, etc.). The Culture variable is of importance to understand because cultural settings might shape attitudes towards AI. Finally, this might also be true for transparent AI (or understandable/explainable AI), with high degrees of transparency likely to elicit trust.</p><p>The proposed model suggests that there is no easy answer when one seeks to understand the impact of AI on the world and humans. Only by considering a myriad number of variables in a model, summed up in the acronym IMPACT (Interaction/Interplay of Modality-Person-Area-Culture-Transparency), we might get closer to an understanding of how AI impacts individuals’ well-being.</p></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"13 ","pages":"Article 100112"},"PeriodicalIF":0.0,"publicationDate":"2023-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772503023000725/pdfft?md5=23c1cfd7d126b034eafe27267218fdd3&pid=1-s2.0-S2772503023000725-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139436141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-23DOI: 10.1016/j.teler.2023.100111
Maximilian Haug, Julia Reiter, Heiko Gewald
Social media has become an integral part of society. However, with its increased usage, a dark side can emerge: social media as a stressor. In this study, we investigate the stress experienced by content creators on Instagram when providing posts and the strategies they use to cope. Our qualitative analysis of 19 German Instagram users reveals a strong focus on likes. When posting content, the main objective is to reach a particular threshold of likes, while receiving comments is considered an additional benefit. If the threshold of likes is not met, stress is induced. Furthermore, being linked to social media can also endanger offline relationships. The resulting stress leaks from social media into offline relationships and harms them. Finally, our analysis has identified emotion-focused and problem-focused coping strategies that social media content creators use to manage stress resulting from interactions.
{"title":"Content creators on Instagram—How users cope with stress on social media","authors":"Maximilian Haug, Julia Reiter, Heiko Gewald","doi":"10.1016/j.teler.2023.100111","DOIUrl":"https://doi.org/10.1016/j.teler.2023.100111","url":null,"abstract":"<div><p>Social media has become an integral part of society. However, with its increased usage, a dark side can emerge: social media as a stressor. In this study, we investigate the stress experienced by content creators on Instagram when providing posts and the strategies they use to cope. Our qualitative analysis of 19 German Instagram users reveals a strong focus on likes. When posting content, the main objective is to reach a particular threshold of likes, while receiving comments is considered an additional benefit. If the threshold of likes is not met, stress is induced. Furthermore, being linked to social media can also endanger offline relationships. The resulting stress leaks from social media into offline relationships and harms them. Finally, our analysis has identified emotion-focused and problem-focused coping strategies that social media content creators use to manage stress resulting from interactions.</p></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"13 ","pages":"Article 100111"},"PeriodicalIF":0.0,"publicationDate":"2023-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772503023000713/pdfft?md5=d16323d5c44a01baad193d0b8b5cf6f5&pid=1-s2.0-S2772503023000713-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139100176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article presents a study comparing the responses of two AI chatbots, ChatGPT and ChatSonic, regarding inquiries about epilepsy. Overall, ChatGPT and ChatSonic are very similar in terms of their capabilities and limitations and they are the most widely used AI software. However, there are some key differences, such as their training data, supported languages, and pricing model. The study aims to assess the potential application of AI in patient counseling and decision-making regarding epilepsy treatment.
Methods
The study categorized the inquiries of patients about epilepsy into two groups: patient counseling and judgment. Ten questions were formulated within these categories. Two specialized doctors evaluated the reliability and accuracy of the chatbot replies using the Global Quality Scale (GQS) and a modified version of the DISCERN score.
Results
The median value for GQS of 4.5 was given by Evaluator JC, and a median value for GQS of 4.0 was given by Evaluator VV. Furthermore, a median for RS of 5.0 was given by Evaluator JC, and a median for RS of 4.0 was given by Evaluator VV. The GQS data from Evaluators JC and VV have a Spearman correlation coefficient of -0.531, indicating an inversely proportional association, and a p-value of 0.016, indicating a statistically significant relationship between the variables. However, the correlation coefficient of RS between data by Evaluator JC and Evaluator VV is 0.368 which indicates the correlation is a directly proportional relationship, with a p-value of 0.110 which is not statistically significant, does not establish a relation between the variables. Weighted Kappa was used to study the agreement between the data. With a weighted kappa value of -0.318 and a 95 %CI of -0.570, -0.065 was obtained for GQS. This can help reject the null hypothesis indicating that the values by the Evaluator JC and Evaluator VV are statistically significant and has a negative agreement. However, a weighted kappa value of 0.1327 with a 95 %CI of -0.093, 0.359 obtained for RS, fails to reject the null hypothesis indicating that the values by the Evaluator JC and Evaluator VV are not significant and no agreement exists between the Evaluators. The results of this study suggest that both ChatGPT and ChatSonic have the potential to be valuable tools for epilepsy patients and their healthcare providers. However, it is important to note that the two evaluators had better agreement on the GQS scores than on the RS scores, suggesting that the GQS may be a more reliable measure of the quality of chatbot responses.
Conclusion
The findings underscore the importance of collaboration among policymakers, healthcare professionals, and AI designers to ensure appropriate and safe utilization of AI chatbots in the healthcare domain. While AI chatbots can provide valuable information, it is crucial to acknowledge their limitations, inclu
{"title":"A cross-sectional study to assess response generated by ChatGPT and ChatSonic to patient queries about Epilepsy","authors":"Aditya Kumar Gudimella Tirumala , Shubham Mishra , Nritya Trivedi , Divya Shivakumar , Aradhya Singh , Sanobar Shariff","doi":"10.1016/j.teler.2023.100110","DOIUrl":"https://doi.org/10.1016/j.teler.2023.100110","url":null,"abstract":"<div><h3>Objective</h3><p>This article presents a study comparing the responses of two AI chatbots, ChatGPT and ChatSonic, regarding inquiries about epilepsy. Overall, ChatGPT and ChatSonic are very similar in terms of their capabilities and limitations and they are the most widely used AI software. However, there are some key differences, such as their training data, supported languages, and pricing model. The study aims to assess the potential application of AI in patient counseling and decision-making regarding epilepsy treatment.</p></div><div><h3>Methods</h3><p>The study categorized the inquiries of patients about epilepsy into two groups: patient counseling and judgment. Ten questions were formulated within these categories. Two specialized doctors evaluated the reliability and accuracy of the chatbot replies using the Global Quality Scale (GQS) and a modified version of the DISCERN score.</p></div><div><h3>Results</h3><p>The median value for GQS of 4.5 was given by Evaluator JC, and a median value for GQS of 4.0 was given by Evaluator VV. Furthermore, a median for RS of 5.0 was given by Evaluator JC, and a median for RS of 4.0 was given by Evaluator VV. The GQS data from Evaluators JC and VV have a Spearman correlation coefficient of -0.531, indicating an inversely proportional association, and a p-value of 0.016, indicating a statistically significant relationship between the variables. However, the correlation coefficient of RS between data by Evaluator JC and Evaluator VV is 0.368 which indicates the correlation is a directly proportional relationship, with a p-value of 0.110 which is not statistically significant, does not establish a relation between the variables. Weighted Kappa was used to study the agreement between the data. With a weighted kappa value of -0.318 and a 95 %CI of -0.570, -0.065 was obtained for GQS. This can help reject the null hypothesis indicating that the values by the Evaluator JC and Evaluator VV are statistically significant and has a negative agreement. However, a weighted kappa value of 0.1327 with a 95 %CI of -0.093, 0.359 obtained for RS, fails to reject the null hypothesis indicating that the values by the Evaluator JC and Evaluator VV are not significant and no agreement exists between the Evaluators. The results of this study suggest that both ChatGPT and ChatSonic have the potential to be valuable tools for epilepsy patients and their healthcare providers. However, it is important to note that the two evaluators had better agreement on the GQS scores than on the RS scores, suggesting that the GQS may be a more reliable measure of the quality of chatbot responses.</p></div><div><h3>Conclusion</h3><p>The findings underscore the importance of collaboration among policymakers, healthcare professionals, and AI designers to ensure appropriate and safe utilization of AI chatbots in the healthcare domain. While AI chatbots can provide valuable information, it is crucial to acknowledge their limitations, inclu","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"13 ","pages":"Article 100110"},"PeriodicalIF":0.0,"publicationDate":"2023-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772503023000701/pdfft?md5=312d1d7c1a900e46f2283b1a8508325f&pid=1-s2.0-S2772503023000701-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138770132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-18DOI: 10.1016/j.teler.2023.100109
Marlena R. Fraune , Danielle Langlois , Harrison Preusse , Jennifer Rheman , Katrina Ling , Katherine M. Tsui
Social group cohesion and social support are critical for positive mental health. People may use technology to maintain existing, or even create new, social groups – particularly when in-person contact is limited. During the global COVID-19 pandemic, countries mandated various stay-at-home orders; for many people worldwide, this was their first experience of extended periods of social isolation. To better understand the relationship of affinity for technology, group cohesion, and mental health depending on change in social isolation, we surveyed people based on country. We studied Italy because of its relatively large increase in social isolation, and we studied Japan because of its relatively small increase in social isolation. We surveyed participants about existing and new social groups in a country that strongly socially isolated (Study 1: Italy, n = 426) and one with few changes from normal (Study 2: Japan, n = 280). We collected data in June 2020, several months after the onset of the COVID-19 pandemic. Affinity for technology related to increased group cohesion and mental health depending on country and on whether groups were new or existing. Dimensions of group cohesion had varied effects on mental health. We synthesize results from this work and a prior study in the United States (U.S., n = 276), which had a very mixed approach to dealing with COVID-19 that differed from approaches in Italy and Japan. Finally, we discuss overall patterns across all three countries.
{"title":"Affinity for technology and group cohesion link to mental health during social isolation in Italy and Japan","authors":"Marlena R. Fraune , Danielle Langlois , Harrison Preusse , Jennifer Rheman , Katrina Ling , Katherine M. Tsui","doi":"10.1016/j.teler.2023.100109","DOIUrl":"https://doi.org/10.1016/j.teler.2023.100109","url":null,"abstract":"<div><p>Social group cohesion and social support are critical for positive mental health. People may use technology to maintain existing, or even create new, social groups – particularly when in-person contact is limited. During the global COVID-19 pandemic, countries mandated various stay-at-home orders; for many people worldwide, this was their first experience of extended periods of social isolation. To better understand the relationship of affinity for technology, group cohesion, and mental health depending on change in social isolation, we surveyed people based on country. We studied Italy because of its relatively large increase in social isolation, and we studied Japan because of its relatively small increase in social isolation. We surveyed participants about <em>existing</em> and <em>new</em> social groups in a country that strongly socially isolated (Study 1: Italy, <em>n</em> = 426) and one with few changes from normal (Study 2: Japan, <em>n</em> = 280). We collected data in June 2020, several months after the onset of the COVID-19 pandemic. Affinity for technology related to increased group cohesion and mental health depending on country and on whether groups were new or existing. Dimensions of group cohesion had varied effects on mental health. We synthesize results from this work and a prior study in the United States (U.S., <em>n</em> = 276), which had a very mixed approach to dealing with COVID-19 that differed from approaches in Italy and Japan. Finally, we discuss overall patterns across all three countries.</p></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"12 ","pages":"Article 100109"},"PeriodicalIF":0.0,"publicationDate":"2023-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772503023000695/pdfft?md5=c6ee278037690a65e8029e4a39d31b73&pid=1-s2.0-S2772503023000695-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138412818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-07DOI: 10.1016/j.teler.2023.100108
Ainzara Favini , Maria Gerbino , Concetta Pastorelli , Antonio Zuffianò , Carolina Lunetti , Chiara Remondi , Flavia Cirimele , Maryluz Gomez Plata , Anna Maria Giannini
Bullying and cyberbullying represent pervasive issues in adolescence because they are very common situations with significant implications for concurrent and later adjustment. It is crucial to investigate the extent to which youths’ personality characteristics may represent a vulnerability to becoming (cyber)bullies or (cyber)victims. However, research mostly has focused on associations with single personality dimensions rather than overall functioning patterns, studies on personality profiles in relation to bullying are limited and under-examined, and no evidence for cyberbullying is available. Within Latent Profile Analysis (i.e., LPA), the present study aimed to identify personality profiles in a sample of 426 Italian early adolescents (Mage = 12; 51 % female), according to the Big Five Model (i.e., Extraversion-E, Agreeableness-A, Conscientiousness-C, Emotional Stability-ES, Openness-O), in connection with traditional bullying and cyberbullying roles (i.e., uninvolved, victims, bullies, bullies/victims). Three profiles emerged with specific associations with (cyber)bullying roles: (1) Resilient (with high scores in all traits) which tended to be uninvolved; (2) Undercontrolled (with low C, average-to-high E, and average-to-low ES, and O), which was more likely to be both bullies and victims, both offline and online; and (3) Overcontrolled (with very low E, average C, and average-to-low ES and O), which was more likely to be associated with traditional (but not online) victimization. The results fill a research gap, demonstrating that specific youths’ personality configurations may be associated with different roles in traditional and online bullying.
{"title":"Bullying and cyberbullying: Do personality profiles matter in adolescence?","authors":"Ainzara Favini , Maria Gerbino , Concetta Pastorelli , Antonio Zuffianò , Carolina Lunetti , Chiara Remondi , Flavia Cirimele , Maryluz Gomez Plata , Anna Maria Giannini","doi":"10.1016/j.teler.2023.100108","DOIUrl":"https://doi.org/10.1016/j.teler.2023.100108","url":null,"abstract":"<div><p>Bullying and cyberbullying represent pervasive issues in adolescence because they are very common situations with significant implications for concurrent and later adjustment. It is crucial to investigate the extent to which youths’ personality characteristics may represent a vulnerability to becoming (cyber)bullies or (cyber)victims. However, research mostly has focused on associations with single personality dimensions rather than overall functioning patterns, studies on personality profiles in relation to bullying are limited and under-examined, and no evidence for cyberbullying is available. Within Latent Profile Analysis (i.e., LPA), the present study aimed to identify personality profiles in a sample of 426 Italian early adolescents (<em>M<sub>age</sub></em> = 12; 51 % female), according to the Big Five Model (i.e., Extraversion-E, Agreeableness-A, Conscientiousness-C, Emotional Stability-ES, Openness-O), in connection with traditional bullying and cyberbullying roles (i.e., uninvolved, victims, bullies, bullies/victims). Three profiles emerged with specific associations with (cyber)bullying roles: (1) Resilient (with high scores in all traits) which tended to be uninvolved; (2) Undercontrolled (with low C, average-to-high E, and average-to-low ES, and O), which was more likely to be both bullies and victims, both offline and online; and (3) Overcontrolled (with very low E, average C, and average-to-low ES and O), which was more likely to be associated with traditional (but not online) victimization. The results fill a research gap, demonstrating that specific youths’ personality configurations may be associated with different roles in traditional and online bullying.</p></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"12 ","pages":"Article 100108"},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772503023000683/pdfft?md5=710d65dff2ac7dee1b4141b4699141a9&pid=1-s2.0-S2772503023000683-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92136085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-31DOI: 10.1016/j.teler.2023.100105
Guanhua Hou , JingyuChen
Many studies about creativity revealed that design inspiration played an important role in generating innovative ideas, but ignored the influence of stimulation timing on design creativity. To advance such a state, this study used 3(design inspiration: near, middle, and distant domain inspiration)*2(stimulus timing: before idea generation and when idea generation stalls) between group experimental design to investigate the effect of design inspiration and stimulus timing on design creativity. Forty-eight participants were recruited, and divided into six groups to solve a design problem. Design creativity were measured by subjective scales and objective outcomes. The results showed that : (1)near domain inspiration helps designers generate the solution quickly; (2)middle domain inspiration helps designers generate practical solutions; (3)distant domain inspiration helps designers generate the solution with high novelty. The findings of this study provided insights for designers to enhance their design creativity.
{"title":"The impact of design creativity: Inspirations and timing of stimulation","authors":"Guanhua Hou , JingyuChen","doi":"10.1016/j.teler.2023.100105","DOIUrl":"https://doi.org/10.1016/j.teler.2023.100105","url":null,"abstract":"<div><p>Many studies about creativity revealed that design inspiration played an important role in generating innovative ideas, but ignored the influence of stimulation timing on design creativity. To advance such a state, this study used 3(design inspiration: near, middle, and distant domain inspiration)*2(stimulus timing: before idea generation and when idea generation stalls) between group experimental design to investigate the effect of design inspiration and stimulus timing on design creativity. Forty-eight participants were recruited, and divided into six groups to solve a design problem. Design creativity were measured by subjective scales and objective outcomes. The results showed that : (1)near domain inspiration helps designers generate the solution quickly; (2)middle domain inspiration helps designers generate practical solutions; (3)distant domain inspiration helps designers generate the solution with high novelty. The findings of this study provided insights for designers to enhance their design creativity.</p></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"12 ","pages":"Article 100105"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772503023000658/pdfft?md5=a896d98eb47d1ce3ee7fc4913740de01&pid=1-s2.0-S2772503023000658-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"92122455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-31DOI: 10.1016/j.teler.2023.100106
Ran Feng, Alex Ivanov
Based on the latest data from the Chinese General Social Survey (N = 2252), this study examines the association between media dependency, online shopping attitudes, and generational cohorts in China. We found that young generations are more dependent on new media than elder generations in terms of intensity and referent dependency. Gen Y consumers have a more favorable attitude toward online shopping than the elder groups. Unexpectedly, Gen Z, Gen X, and the elders do not significantly differ in preference for online shopping. Referent dependency on new media is significantly and positively associated with online shopping attitudes. This research addresses the question concerning studying Chinese online consumers from the theoretical perspective of media system dependency. Practical implications and future direction of Chinese online shopping behaviors research are discussed.
{"title":"Does a generational gap exist in online shopping attitudes? A comparison of Chinese consumer generations from the media system dependency perspective","authors":"Ran Feng, Alex Ivanov","doi":"10.1016/j.teler.2023.100106","DOIUrl":"https://doi.org/10.1016/j.teler.2023.100106","url":null,"abstract":"<div><p>Based on the latest data from the Chinese General Social Survey (<em>N</em> = 2252), this study examines the association between media dependency, online shopping attitudes, and generational cohorts in China. We found that young generations are more dependent on new media than elder generations in terms of intensity and referent dependency. Gen Y consumers have a more favorable attitude toward online shopping than the elder groups. Unexpectedly, Gen Z, Gen X, and the elders do not significantly differ in preference for online shopping. Referent dependency on new media is significantly and positively associated with online shopping attitudes. This research addresses the question concerning studying Chinese online consumers from the theoretical perspective of media system dependency. Practical implications and future direction of Chinese online shopping behaviors research are discussed.</p></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"12 ","pages":"Article 100106"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S277250302300066X/pdfft?md5=c3093445b07c92bc296270aecc9f43f6&pid=1-s2.0-S277250302300066X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91987002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-31DOI: 10.1016/j.teler.2023.100107
Ruoxu Wang, Jin Yang, Matthew Haught
This study examined the relationships between product type, creative strategy, music and user engagement with consumer technology video ads on YouTube using both content analysis and experiment. The content analysis study (n = 300) found smartphone, software, and IoT were positively associated with number of views whereas music was negatively associated with number of views. Smartphone was positively associated with number of likes whereas music was negatively associated with number of likes. Ego and smartphone were positively associated with number of dislikes whereas printer and sensory were negatively associated with number of dislikes. The subsequent 2 (Product Type: Smartphone vs. Software) x 2 (Music: Absence vs. Presence) x 2 (Ego: Absence vs. Presence) between subject experiment (n = 159) found smartphone ads received higher disliking intention compared with software ads. Ads use the ego strategy received higher user engagement compared with ads use the non-ego strategy. A two-way interaction effect of music and product type on liking intention was obtained. Theoretical and practical implications were discussed.
{"title":"User engagement with consumer technology video ads on YouTube: A study of content analysis and experiment","authors":"Ruoxu Wang, Jin Yang, Matthew Haught","doi":"10.1016/j.teler.2023.100107","DOIUrl":"https://doi.org/10.1016/j.teler.2023.100107","url":null,"abstract":"<div><p>This study examined the relationships between product type, creative strategy, music and user engagement with consumer technology video ads on YouTube using both content analysis and experiment. The content analysis study (<em>n</em> = 300) found smartphone, software, and IoT were positively associated with number of views whereas music was negatively associated with number of views. Smartphone was positively associated with number of likes whereas music was negatively associated with number of likes. Ego and smartphone were positively associated with number of dislikes whereas printer and sensory were negatively associated with number of dislikes. The subsequent 2 (Product Type: Smartphone vs. Software) x 2 (Music: Absence vs. Presence) x 2 (Ego: Absence vs. Presence) between subject experiment (<em>n</em> = 159) found smartphone ads received higher disliking intention compared with software ads. Ads use the ego strategy received higher user engagement compared with ads use the non-ego strategy. A two-way interaction effect of music and product type on liking intention was obtained. Theoretical and practical implications were discussed.</p></div>","PeriodicalId":101213,"journal":{"name":"Telematics and Informatics Reports","volume":"12 ","pages":"Article 100107"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772503023000671/pdfft?md5=11530640eeb725e7f1b80239f7e490c8&pid=1-s2.0-S2772503023000671-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91987001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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