Affectemes and allaffects: A novel approach to coding user emotional expression during interactive experiences

Axelrod, Lesley; Hone, Kate

doi:10.1080/01449290500331164

Cited by 14 publications

(8 citation statements)

References 19 publications

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“…A business that uses SNS to communicate with its customers, partners, and suppliers should look into features that would promote user happiness, especially those that create positive emotions, which lead to an increase in loyalty. For this, some researchers have suggested the use of appealing visuals (Deng and Poole, 2010;Klein et al, 2002), affective mechanisms such as emoticons (Axelrod and Hone, 2006), and forums that allow users to publicly vent frustrations (Klein et al, 2002).…”

Section: Implications For Practicementioning

confidence: 99%

Is being satisfied enough? Well-being and IT post-adoption behavior

Ong

Lin

2016

Information Development

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Well-being has rarely been used to discuss the post-adoption behavior of information technology users. Currently, satisfaction is the primary predictor of user behavior in IT post-adoption research. We live in an age when social media, mobile devices, the Internet, and other information technologies have virtually fused with our lifestyles. In discussing post-adoption behavior, focusing only on satisfaction might no longer be satisfactory. We should consider other constructs that might capture additional post-adoption factors, such as the concept of affect. In this study, we examined the influence of well-being on continuance intention and on loyalty. We compared well-being’s impact with that of satisfaction. A survey of 297 college students supplied the data that was entered into a structural equation model on social network site usage. The results showed strong support for satisfaction and well-being as influential factors for continuance intention and loyalty. Moreover, relative to satisfaction, we found well-being to have a greater impact on continuance intention and loyalty.

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Section: Implications For Practicementioning

confidence: 99%

Is being satisfied enough? Well-being and IT post-adoption behavior

Ong

Lin

2016

Information Development

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“…An alternative statistic, called Krippendorff 's alpha (α), has been proposed by Hayes and Krippendorff (2007) as a useful standard measure of reliability. It measures the observed agreement and the agreement that is expected by chance (Axelrod & Hone, 2006;Lombard, Snyder-Duch, & Bracken, 2002), and can be calculated for different levels of measurement (nominal, ordinal, interval, ratio) and for any number of observers (Hayes & Krippendorff). As there is no agreement amongst researchers regarding the most appropriate statistical approach to use in reliability studies (Hayes & Krippendorff;Portney & Watkins, 2009;Rankin & Stokes, 1998), and the general consensus is that no single estimate of reliability is sufficient, it is preferable that more than one type of analysis is applied (Bruton, Conway, & Holgate, 2000;.…”

Section: Data Collectionmentioning

confidence: 99%

“…Paired T-test, ICCs, and Krippendorff's Alpha (a) of a α is a more conservative statistic and, like the ICC, it does not account for point differences in values (Axelrod & Hone, 2006;Lombard et al, 2002). Also, the model ICC (1,1) was used so that comparison of our reliability results with other studies was possible.…”

Section: Tablementioning

confidence: 99%

Test-Retest Reliability of the GAPP Functional Capacity Evaluation in Healthy Adults

Gibson¹,

Dang²,

Strong³

et al. 2010

Can J Occup Ther

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“…For example, a computer may respond to a comment made by a frustrated user when trying to print a document (e.g., "sorry to hear you are experiencing difficulties") . These findings suggest that users' negative moods can be managed through the implementation of strategies, such as active listening, that have been proven successful in social contexts (Axelrod and Hone, 2006;Picard, 2000;Scheirer et al, 2002). …”

Section: Research Questionmentioning

confidence: 99%

“…Thus, affect can be managed by facilitating conditions that make the positive mood more dominant, such as promoting situations that reduce negative mood (Isen and Baron, 1991). Literature provides evidence that it is possible to reduce users' negative moods, caused by interacting with a system, when the system provides users with strategies that meet their emotional needs (Axelrod and Hone, 2006;Picard, 2000). For example, a software agent that recognizes users' frustration can reduce the users' negative moods through active listening techniques that give the users "room to vent" Picard, 2000).…”

Section: Research Questionmentioning

confidence: 99%

Moods and Their Relevance to Systems Usage Models within Organizations: An Extended Framework

Loiacono¹,

Djamasbi²

2010

THCI

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Dennis Galletta was the accepting Senior Editor. This article was submitted on 8/24/2009 and accepted on 6/15/2010. It was with the authors 19 weeks for 3 revisions.Loiacono, E. and S. Djamasbi (2010) Traditionally, information systems (IS) usage models have examined user behavior within a cognitive framework, that is, these models suggest that a user's cognition influences his/her IS usage behavior. Research over the past three decades has shown that mood, one's global feeling state at a given time, can significantly impact a person's cognitive processes. Mood effects on cognition are particularly relevant to organizational settings. Because moods are pervasive, they provide a stable context for cognitive processes that influence behavior at work; therefore, the inclusion of mood in individual IS usage models that support organizational tasks is both relevant and necessary. Because positive mood can enhance performance under certain circumstances, mood management is also relevant to IS usage models. Thus, we highlight how moods can be managed via IS and propose a model that takes into account users' moods at the time they work with a system. This model provides an extended framework for incorporating relevant mood literature into current IS usage behavioral models. With this model, researchers can examine certain aspects of the model (such as how IS design can influence user feeling states or how users' moods can impact their behavior), or conduct more comprehensive research using the entire model. This model can contribute to theory by providing a more complete picture of user behavior, and contribute to practice by helping mangers plan for desired outcomes.

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Affectemes and allaffects: A novel approach to coding user emotional expression during interactive experiences

Cited by 14 publications

References 19 publications

Is being satisfied enough? Well-being and IT post-adoption behavior

Is being satisfied enough? Well-being and IT post-adoption behavior

Test-Retest Reliability of the GAPP Functional Capacity Evaluation in Healthy Adults

Moods and Their Relevance to Systems Usage Models within Organizations: An Extended Framework

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