Challenges for inclusive affective detection in educational scenarios

Authors:
Olga C. Santos;Alejandro Rodriguez-Ascaso;Jesus G. Boticario;Sergio Salmeron-Majadas;Pilar Quirós;Raúl Cabestrero
Affiliations:
aDeNu Research Group. Artificial Intelligence Dept. Computer Science School., UNED, Madrid, Spain;aDeNu Research Group. Artificial Intelligence Dept. Computer Science School., UNED, Madrid, Spain;aDeNu Research Group. Artificial Intelligence Dept. Computer Science School., UNED, Madrid, Spain;aDeNu Research Group. Artificial Intelligence Dept. Computer Science School., UNED, Madrid, Spain;Basic Psychology Dept. UNED., Madrid, Spain;Basic Psychology Dept. UNED., Madrid, Spain
Venue:
UAHCI'13 Proceedings of the 7th international conference on Universal Access in Human-Computer Interaction: design methods, tools, and interaction techniques for eInclusion - Volume Part I
Year:
2013

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Abstract

There exist diverse challenges for inclusive emotions detection in educational scenarios. In order to gain some insight about the difficulties and limitations of them, we have analyzed requirements, accommodations and tasks that need to be adapted for an experiment where people with different functional profiles have taken part. Adaptations took into consideration logistics, tasks involved and user interaction techniques. The main aim was to verify to what extent the same approach, measurements and technological infrastructure already used in previous experiments were adequate for inducing emotions elicited from the execution of the experiment tasks. In the paper, we discuss the experiment arrangements needed to cope with people with different functional profiles, which include adaptations on the analysis and results. Such analysis was validated in a pilot experiment with 3 visually impaired participants.