The determinants and expression of computer-related anger

Charlton, John P.

doi:10.1016/j.chb.2009.07.001

Cited by 17 publications

(5 citation statements)

References 20 publications

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“…The anger response to frustrations with digital technology is something that has been previously explored, with researchers noting that some individual adopt a perception that computers have human like characteristics ( Nass and Moon, 2000 ). This phenomenon has been termed ethopoeia, and research has noted that anger intensity related to frustrating experiences can be influenced by the extent to which an individual believes the computer is responsible for such ( Charlton, 2009 ; Charlton et al., 2015 ).…”

Section: Discussionmentioning

confidence: 99%

“…For example, an individual frustration could be displayed in an overtly aggressive manner. Previous research has examined expressions of anger towards computers, showing verbal and physical aggression towards computer equipment to be common ( Charlton, 2009 ; Charlton et al., 2015 ). Withdrawal and regression are learned reactions associated with frustration where the individual anticipates failure or punishment in the face of barriers to their current goal ( Britt and Janus, 1940 ; Lazar et al., 2006b ).…”

Section: Introductionmentioning

confidence: 99%

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End-user frustrations and failures in digital technology: exploring the role of Fear of Missing Out, Internet addiction and personality

Hadlington

Scase

2018

Heliyon

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The present study aimed to explore the potential relationship between individual differences in responses to failures with digital technology. In total, 630 participants (50% male) aged between 18–68 years (M = 41.41, SD = 14.18) completed an online questionnaire. This included a self-report, response to failures in digital technology scale, a measure of Fear of Missing Out, Internet addiction, and the BIG-5 personality traits. Fear of Missing Out, Internet addiction, extraversion, and neuroticism all served as significant positive predictors for maladaptive responses to failures in digital technology. Agreeableness, conscientiousness, and openness acted as significant negative predictors for maladaptive responses to failures in digital technology. The responses to failures in digital technology scale presented good internal reliability, with items loading onto four key factors, these being; ‘maladaptive responses’, ‘adaptive responses’, ‘external support and venting frustrations’, and ‘anger and resignation’. The findings are discussed in the context of the end user experience, particularly where individual differences are seen to influence the level of frustration arising from a failure. The findings are also seen as a potential route for reducing the negative impact of failures in digital technology, particularly in the context of organisational productivity and responses to malicious cyberattacks.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

End-user frustrations and failures in digital technology: exploring the role of Fear of Missing Out, Internet addiction and personality

Hadlington

Scase

2018

Heliyon

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“…Emotions often bias search behavior and determine all the subsequent interactions (Bechara & Damasio, ). This could be of particular interest in the study of online foraging, given the influence of users’ emotions on human–IT interaction (Charlton, ). Anxiety, a feeling of fear and nervousness, has been considered a common feeling of users when interacting with computers (Liaw & Huang, ).…”

Section: Theorymentioning

confidence: 99%

An Integrative Perspective of Online Foraging Behavior with Search Engines

Flavián

Gurrea

Orús

2012

Psychology and Marketing

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While technology evolves rapidly, humans have to adapt to the environment. Evolutionary theories are proposed as an overarching framework to explain the information systems phenomena. However, there is a need to develop these theories in more realistic contexts, and to integrate them with nonevolutionary theories, in order to gain a better understanding of human–computer interactions. Searching entails uncertainty, and the feelings that it arouses may affect search behavior. This research aims to fill this gap by examining the impact of situational factors on online foraging with search engines, taking into account users’ behavior and their emotional responses during the process. The results stress the importance of the initial emotional state and the temporal dimension in shaping the online environment that determines the online search behavior.

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“…Besides the perceived success or failure of a search process, the related emotional outcomes such as stress, anxiety, or frustration feelings have implications on the users' actions on the Web and have been connected to online searching and performance (Charlton, 2009). For instance, perceived success in the search process, initial affective state, perceived effort exerted in the on-line search as well as user emotions experienced during the search process all have an influence on emotion outcome towards search engines (Haubln-Blanco et al, 2011).…”

Section: Emotion Towards the Search Enginementioning

confidence: 99%

Evaluation of Search Engines: A Conceptual Model and Research Issues

Palanisamy¹

2013

IJBM

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This paper examines the evaluation of search engines by developing a conceptual model based on the literature. The model identifies the key factors that influence user evaluation of search engines, effective and efficient criteria for evaluation by considering user satisfaction and usage as the search engine success variables. The model attempts to identify the attributes that determine a good search engine, why users repeatedly visit their favorite search engines, and why users switch between different search engines. The research issues are evolved out of the conceptual model; the implications for searchers and search engine providers are given.

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The determinants and expression of computer-related anger

Cited by 17 publications

References 20 publications

End-user frustrations and failures in digital technology: exploring the role of Fear of Missing Out, Internet addiction and personality

End-user frustrations and failures in digital technology: exploring the role of Fear of Missing Out, Internet addiction and personality

An Integrative Perspective of Online Foraging Behavior with Search Engines

Evaluation of Search Engines: A Conceptual Model and Research Issues

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