Social Learning and Adoption of New Behavior in a Virtual Agent Society

Nye, Benjamin D.; Silverman, Barry G.

doi:10.1162/pres_a_00144

Cited by 3 publications

(4 citation statements)

References 59 publications

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“…Learning components promote the implementation of more dynamic environments. Social and cognitive theories of motivation are also to be considered, especially for attitudinal responses likely to be manifested by users (Pallud, 2017;Nye & Silverman, 2013;Mayer & Alexander, 2011).…”

Section: Context and Backgroundmentioning

confidence: 99%

Evaluating Learnability in a 3D Heritage Tour

Zamora-Musa

Velez

Paez-Logreira

2017

Presence: Teleoperators and Virtual Environments

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The implementation of 3D virtual reality (VR) environments to represent human culture and heritage has been growing during the last two decades as a result of information and communication technologies (ICT) development. Precisely, regarding virtual heritage development, some weaknesses have been detected such as ''lifeless'' environments lacking interaction, and research still under development on learning assessment. In this article, a VR environment is presented, through users taking a virtual tour visiting some elements of cultural heritage of the island of San Andrés, Colombia. In the tour, users participate in a 3D VR environment, answering questions and learning about the cultural heritage of the island. Also, the usability of the VR environment is assessed through SUMI (Software Usability Measurement Inventory) standard ISO9241-11 evaluating aspects such as usefulness and learnability. The results demonstrate that with the implementation of a VR environment about heritage, the users achieved optimum performance with an 80% average of correct answers and a high correlation between learning and the usability of the 3D VR environment.

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Section: Context and Backgroundmentioning

confidence: 99%

Evaluating Learnability in a 3D Heritage Tour

Zamora-Musa

Velez

Paez-Logreira

2017

Presence: Teleoperators and Virtual Environments

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“…In addressing complex situations with flexibility, the model was utilized to show the simulation results of those situations based on the four modules. Johns (2007) and Nye and Silverman (2013) also performed simulations based on the PMFserv model and quantified users' emotional responses by relating user concerns to probabilistic affordances.…”

Section: Human Behavior Modelsmentioning

confidence: 99%

“…In addition, it is not clear how such variables can reflect real situations, and its validation issues are sometimes raised (Bharathy & Silverman, 2013). Though the PMFserv model has been utilized in many simulation fields such as the military, robots, and evacuations (Meador & Hill, 2011;Nye & Silverman, 2013;Silverman et al, 2012), it has not been properly applied to the analyses of the interaction between users and products in daily lives and the human behaviors in stages. Also, the variables the model considers did not include users' emotional responses in behavior executions.…”

Section: Human Behavior Modelsmentioning

confidence: 99%

“…As the first step, users refer to and extract task trees from their memories and experiences, according to task goals in a given situation. Here, a task tree can be described as a hierarchical structure with possible task units or elements in accomplishing an upmost goal (Nye & Silverman, 2013;Silverman, 2004). According to Campion and Lord's (1982) model, the goals and the decision mechanism of users are influenced by external surroundings, through the comparison processes for possible options and alternatives.…”

Section: Comprehension and Formation Of Interaction Components Betweementioning

confidence: 99%

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User Behavior Model Based on Affordances and Emotions: A New Approach for an Optimal Use Method in Product–User Interactions

Lee

2014

International Journal of Human-Computer Interaction

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This study proposes a new approach to developing a user behavior model to explain how a user finds the optimal use. This is achieved by considering user concerns, task significances, affordances, and emotional responses as the interaction components and by exploring behavior sequences for a goal in using a product the first time. The tasks in the same group at each level in the user concern structure are therefore in a competing relationship in going up to a higher task. The task tree with the significances and the affordance probabilities can be analyzed. The order of a user's exploring behavior sequences can be determined through comparisons of the expected significances, which can be obtained by the modified subjective expected utility theory. A user's emotional responses for the tasks that a behavior sequence is composed of can be calculated by the modified decision affect theory. Here, the emotional response refers to a user's internal reactions for the degree to which a product's affordance features can meet his or her mental model in use. The average emotional response for a behavior sequence can be a user's decisional factor for the optimal use method in using a product with a goal. Also, the design problems of a product can be checked from users' point of view, and the emotional losses/changes by usage failures can be discussed. For an illustrative purpose, the proposed model is applied to a numerical example with some assumptions.

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Social noise: the influence of observers on social media information behavior

Zimmerman

2022

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PurposeThe purpose of this paper is to introduce the concept of social noise. Under the influence of social noise, a social media user may adjust information behavior based on external cues, attempting to present themselves in a more desirable way to increase their social capital.Design/methodology/approachA qualitative study informed by an ethnographic approach was used to examine social media information behavior. Participants were observed using Facebook, followed by semi-structured interviews. Data analysis was theoretically grounded in thematic analysis but also adaptive to observations in the data.FindingsFour constructs of social noise were identified in the data. Identity curation emerged as the overarching consideration for individuals. The constructs cultural commitments and relationship management both had a strong presence within the data as well. The fourth construct, conflict management, was identified as social media users decided how to respond to individuals or information with which they did not agree.Originality/valueThis study reveals that social media users' awareness of observation by others does impact their information behavior. Efforts to craft a personal reputation, build or maintain relationships, pursue important commitments and manage conflict all influence the observable information behavior of social media users. As a result, observable social media information behavior may not be an accurate reflection of an individual's true thoughts and beliefs.

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Social Learning and Adoption of New Behavior in a Virtual Agent Society

Cited by 3 publications

References 59 publications

Evaluating Learnability in a 3D Heritage Tour

Evaluating Learnability in a 3D Heritage Tour

User Behavior Model Based on Affordances and Emotions: A New Approach for an Optimal Use Method in Product–User Interactions

Social noise: the influence of observers on social media information behavior

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