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ACM Transactions on Internet Technology (TOIT) - Special Issue on Affect and Interaction in Agent-based Systems and Social Media and Regular Paper, Volume 17 Issue 1, March 2017

Section: Special Issue on Affect and Interaction in Agent-based Systems and Social Media

Affect and Interaction in Agent-Based Systems and Social Media: Guest Editors’ Introduction
Chloé Clavel, Rossana Damiano, Viviana Patti, Paolo Rosso
Article No.: 1
DOI: 10.1145/3018980

Brains or Beauty: How to Engender Trust in User-Agent Interactions
Beste F. Yuksel, Penny Collisson, Mary Czerwinski
Article No.: 2
DOI: 10.1145/2998572

Software-based agents are becoming increasingly ubiquitous and automated. However, current technology and algorithms are still fallible, which considerably affects users’ trust and interaction with such agents. In this article, we...

Implementing and Evaluating a Laughing Virtual Character
Maurizio Mancini, Beatrice Biancardi, Florian Pecune, Giovanna Varni, Yu Ding, Catherine Pelachaud, Gualtiero Volpe, Antonio Camurri
Article No.: 3
DOI: 10.1145/2998571

Laughter is a social signal capable of facilitating interaction in groups of people: it communicates interest, helps to improve creativity, and facilitates sociability. This article focuses on: endowing virtual characters with computational models...

Other-Condemning Moral Emotions: Anger, Contempt and Disgust
Mehdi Dastani, Alexander Pankov
Article No.: 4
DOI: 10.1145/2998570

This article studies and analyzes three other-condemning moral emotions: anger, contempt, and disgust. We utilize existing psychological theories—appraisal theories of emotion and the CAD triad hypothesis—and incorporate them into a...

Toward Formal Modeling of Affective Agents in a BDI Architecture
Bexy Alfonso, Emilio Vivancos, Vicente Botti
Article No.: 5
DOI: 10.1145/3001584

Affective characteristics are crucial factors that influence human behavior, and often, the prevalence of either emotions or reason varies on each individual. We aim to facilitate the development of agents’ reasoning considering their...

Show Me You Care: Trait Empathy, Linguistic Style, and Mimicry on Facebook
Jahna Otterbacher, Chee Siang Ang, Marina Litvak, David Atkins
Article No.: 6
DOI: 10.1145/2996188

Linguistic mimicry, the adoption of another’s language patterns, is a subconscious behavior with pro-social benefits. However, some professions advocate its conscious use in empathic communication. This involves mutual mimicry; effective...

Processing Affect in Social Media: A Comparison of Methods to Distinguish Emotions in Tweets
Rosa Meo, Emilio Sulis
Article No.: 7
DOI: 10.1145/2996187

Emotion analysis in social media is challenging. While most studies focus on positive and negative sentiments, the differentiation between emotions is more difficult. We investigate the problem as a collection of binary classification tasks on the...

Using Centrality Measures to Predict Helpfulness-Based Reputation in Trust Networks
Pasquale De Meo, Katarzyna Musial-Gabrys, Domenico Rosaci, Giuseppe M. L. Sarnè, Lora Aroyo
Article No.: 8
DOI: 10.1145/2981545

In collaborative Web-based platforms, user reputation scores are generally computed according to two orthogonal perspectives: (a) helpfulness-based reputation (HBR) scores and (b) centrality-based reputation (CBR) scores. In HBR...

Improving the Efficiency of an Online Marketplace by Incorporating Forgiveness Mechanism
Ruchdee Binmad, Mingchu Li
Article No.: 9
DOI: 10.1145/2996189

Reputation plays a key role in online marketplace communities improving trust among community members. Reputation works as a decision-making tool for understanding the behavior of the business partners. Success of any online business depends on...

Section: Special Issue on Affect and Interaction in Agent-based Systems and Social Media

Privacy-Enhanced Television Audience Measurements
George Drosatos, Aimilia Tasidou, Pavlos S. Efraimidis
Article No.: 10
DOI: 10.1145/3009969

Internet-enabled television systems (SmartTVs) are a development that introduces these devices into the interconnected environment of the Internet of Things. We propose a privacy-preserving application for computing Television Audience Measurement...