AMARA: An affective agent to enhance users' enjoyment and engagement with online art collections

MacDonald, Craig M.; Park, S. Joon; Chae, Gunho

doi:10.1002/meet.14504901303

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…To date hundreds of millions of tourists around the world have been intrinsically motivated to use and become highly dependent on mobile technology (Tien 2010). Developments in the areas of tourists' motivation and dependency have resulted in the related literature placing great interest on perceived enjoyment and e-engagement (e.g., Chen et al 2006;MacDonald et al 2012). While perceived enjoyment is defined based on the motivation theory as the extent to which the activity of using MTSS is perceived to be enjoyable in its own right, aside from any performance outcomes resulting from such system use (Elwalda et al 2016), e-engagement is defined based on the dependency theory as a cognitive commitment to an active relationship with MTSS as personified by the website (Mollen and Wilson 2010).…”

Section: Introductionmentioning

confidence: 99%

Modeling continuance intention towards Mobile Travel Service System (MTSS): a theoretical perspective of motivation and dependency

et al. 2017

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This work sets up a research model that elaborates upon the development of continuance intention towards Mobile Travel Service System (MTSS) based on the motivational theory and the dependency theory. In the model, continuance intention is indirectly affected by personal innovativeness and e-interaction quality through the full mediation of e-engagement and perceived enjoyment. At the same time, the relationships between e-engagement and continuance intention and between perceived enjoyment and continuance intention are hypothetically moderated by e-interaction quality. The hypotheses of this work were empirically tested using data from working professionals in a technology industry regarding their use of MTSS for travel information sharing as well as booking for accommodation, airline, cars, etc. This study conducted a two-wave survey to empirically test its theoretical rationales. The findings of this work complement the previous literature by verifying the full mediating mechanism of e-engagement and perceived enjoyment and the moderating mechanism of e-interaction quality. Lastly, managerial implications for e-marketers based on this study's findings are provided.

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Section: Introductionmentioning

confidence: 99%

Modeling continuance intention towards Mobile Travel Service System (MTSS): a theoretical perspective of motivation and dependency

et al. 2017

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“…Perhaps, information retrieval systems can improve searchers' moods before they start interacting with the system. Some websites already attempt to affectively engage searchers by using creative graphics (e.g., the changing designs of the Google logo on the main search engine's page known as “Google Doodles”), designing visually pleasing and not overly complex sites, or introducing virtual assistants (MacDonald, Park, & Chae, ).…”

Section: Resultsmentioning

confidence: 99%

Toward a model of emotions and mood in the online information search process

Lopatovska

2014

Asso for Info Science & Tech

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This article reports the results of a study that examined relationships between primary emotions, secondary emotions, and mood in the online information search context. During the experiment, participants were asked to search Google to obtain information on the two given search tasks. Participants' primary emotions were inferred from analysis of their facial expressions, data on secondary emotions were obtained through participant interviews, and mood was measured using the Positive Affect Negative Affect Scale (PANAS; Watson, Clark, & Tellegen, 1988) prior, during, and after the search. The search process was represented by the collection of search actions, search performance, and search outcome quality variables. The findings suggest existence of direct relationships between primary emotions and search actions, which in turn imply the possibility of inferring emotions from search actions and vice versa. The link between secondary emotions and searchers' evaluative judgments, and lack of evidence of any relationships between secondary emotions and other search process variables, point to the strengths and weaknesses of self-reported emotion measures in understanding searchers' affective experiences. Our study did not find strong relationships between mood and search process and outcomes, indicating that while mood can have a limited effect on search activities, it is a relatively stable and long-lasting state that cannot be easily altered by the search experience and, in turn, cannot significantly affect the search. The article proposes a model of relationships between emotions, mood, and several facets of the search process. Directions for future work are also discussed.

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“…She suggests that search engines like Google will attempt to engage searchers through colorful and interactive features such as the “Google Doodles” initiative, in which the Google logo changes based on an event of the day or contest submissions. Other studies have also spoken to designing systems to positively impact users' moods in order to support more positive experiences online (e.g., Desmet, 2015; MacDonald, Park, & Chae, 2012; Norman, 2004).…”

Section: Literature Reviewmentioning

confidence: 99%

“Dear Amy”: Seeking support on YouTube

Salib

Gorichanaz

Agosto

2020

Proc Assoc Inf Sci Technol

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Among many other video genres, YouTube is a hub for “how‐to” videos, including advice on how to work through difficult life circumstances. For this pilot study, we investigated a sample of comments in response to two Amy Poehler's Smart Girls' “Ask Me Anything” videos. Geared toward adolescents and emerging adults, “Ask Me Anything” videos respond to viewer questions on social, personal, and professional topics, such as coping with embarrassment, worries about school exams, relationship power dynamics, and general life stress. In our analysis, we identify emerging trends in the language of viewers' response comments and investigate (a) how viewers are responding to the videos, and (b) what such responses could mean for the design of social computing systems and their use for social and emotional support. We find indications of users' emotional support seeking, evidence of adult audience members' seeking to answer younger responders' questions posted in response to the videos, and the use of epistolary forms to express perceived emotional connections with the video host. In future work, we will seek to understand what elements of the videos are invoking such personal connections and explore designs of social computing systems to better support personal connection and intergenerational support online.

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AMARA: An affective agent to enhance users' enjoyment and engagement with online art collections

Cited by 4 publications

References 8 publications

Modeling continuance intention towards Mobile Travel Service System (MTSS): a theoretical perspective of motivation and dependency

Modeling continuance intention towards Mobile Travel Service System (MTSS): a theoretical perspective of motivation and dependency

Toward a model of emotions and mood in the online information search process

“Dear Amy”: Seeking support on YouTube

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