Interactive Intelligent Systems (TIIS)


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ACM Transactions on Interactive Intelligent Systems (TiiS), Volume 7 Issue 3, October 2017

Interacting with Recommenders—Overview and Research Directions
Michael Jugovac, Dietmar Jannach
Article No.: 10
DOI: 10.1145/3001837

Automated recommendations have become a ubiquitous part of today’s online user experience. These systems point us to additional items to purchase in online shops, they make suggestions to us on movies to watch, or recommend us people to...

Empathy in Virtual Agents and Robots: A Survey
Ana Paiva, Iolanda Leite, Hana Boukricha, Ipke Wachsmuth
Article No.: 11
DOI: 10.1145/2912150

This article surveys the area of computational empathy, analysing different ways by which artificial agents can simulate and trigger empathy in their interactions with humans. Empathic agents can be seen as agents that have the capacity to place...

Detecting Users’ Cognitive Load by Galvanic Skin Response with Affective Interference
Nargess Nourbakhsh, Fang Chen, Yang Wang, Rafael A. Calvo
Article No.: 12
DOI: 10.1145/2960413

Experiencing high cognitive load during complex and demanding tasks results in performance reduction, stress, and errors. However, these could be prevented by a system capable of constantly monitoring users’ cognitive load fluctuations and...

Effects of Speed, Cyclicity, and Dimensionality on Distancing, Time, and Preference in Human-Aerial Vehicle Interactions
Brittany A. Duncan, Robin R. Murphy
Article No.: 13
DOI: 10.1145/2983927

This article will present a simulation-based approach to testing multiple variables in the behavior of a small Unmanned Aerial Vehicle (sUAV), inspired by insect and animal motions, to understand how these variables impact time of interaction,...

Active Learning and Visual Analytics for Stance Classification with ALVA
Kostiantyn Kucher, Carita Paradis, Magnus Sahlgren, Andreas Kerren
Article No.: 14
DOI: 10.1145/3132169

The automatic detection and classification of stance (e.g., certainty or agreement) in text data using natural language processing and machine-learning methods creates an opportunity to gain insight into the speakers’ attitudes toward...