Boredom, engagement and anxiety as indicators for adaptation to difficulty in games

Chanel, Guillaume; Rebetez, Cyril; Bétrancourt, Mireille; Pun, Thierry

doi:10.1145/1457199.1457203

Cited by 157 publications

(126 citation statements)

References 9 publications

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“…In the broadest sense, audience response can be considered as feedback to a stimulus coming from several users, participants, or players (Mandryk, 2004;Chanel et al, 2008;Lunn and Harper, 2010). Different applications define audience response depending on the requirements of the application.…”

Section: Audience Response In Performing Artsmentioning

confidence: 99%

How Are We Connected? - Measuring Audience Galvanic Skin Response of Connected Performances

Wang¹,

Zhu²,

Geelhoed

et al. 2016

Proceedings of the 3rd International Conference on Physiological Computing Systems

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Abstract:Accurately measuring the audience response during a performance is a difficult task. This is particularly the case for connected performances. In this paper, we staged a connected performance in which a remote audience enjoyed the performance in real-time. Both objective (galvanic skin response and behaviours) and subjective (interviews) responses from the live and remote audience members were recorded. To capture galvanic skin response, a group of self-built sensors was used to record the electrical conductance of the skin. The results of the measurements showed that both the live and the remote audience members had a similar response to the connected performance even though more vivid artistic artefacts had a stronger effect on the live audience. Some technical issues also influenced the experience of the remote audience. In conclusion we found that the remoteness had little influence on the connected performance.

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Section: Audience Response In Performing Artsmentioning

confidence: 99%

How Are We Connected? - Measuring Audience Galvanic Skin Response of Connected Performances

Wang¹,

Zhu²,

Geelhoed

et al. 2016

Proceedings of the 3rd International Conference on Physiological Computing Systems

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“…The CalmPrix video game was meant to teach a relaxation technique, using an extremely primitive racing car game (even for the time). CalmPrix would have been pitted against games such as the highly successful Mario Brothers (1983) 11 , Return of the Jedi and Elite (1984) 12 . Commercially, it didn't stand a chance.…”

Section: Technologies For Ag a Generations Of Console Platformsmentioning

confidence: 99%

Technological Advancements in Affective Gaming: A Historical Survey

Christy¹,

Kuncheva²

2014

GSTF J Comput

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Abstract-Affective gaming (AG) is a cross-disciplinary area drawing upon psychology, physiology, electronic engineering and computer science, among others. This paper presents a historical overview of affective gaming, bringing together psychophysiological system developments, a time-line of video game graphical advancements and industry trends, thereby offering an entry point into affective gaming research. It is proposed that video games may soon reach a peak in perceivable graphical improvements. This opens up the door for innovative game enhancement strategies, such as emotiondriven interactions between the player and the gaming environment.

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“…[14] Categorial models are typically used in studies where the objective is to recognise one of a set of emotions for some purpose, or to test the efficiency of some analysis algorithm. However, most projects or studies which apply models of human emotion or affective state to some task or interaction in general use variants of dimensional models, and sometimes define a model specifically suited for application to information access [7,5]. Mood in this context can be thought to be an underlying moderator of human action and a representation of background information used as a basis for assessment and judgment even without conscious attribution of an emotion towards a target notion.…”

Section: Texts Utterances Clauses and Fragmentsmentioning

confidence: 99%

Usefulness of Sentiment Analysis

Karlgren

Sahlgren

Olsson

et al. 2012

Lecture Notes in Computer Science

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Abstract.What can text sentiment analysis technology be used for, and does a more usage-informed view on sentiment analysis pose new requirements on technology development?1 Human emotion, attitude, mood, affect, sentiment, opinion, and appealAnalysis of sentiment in text is a new and rapidly growing field of study and application. This paper outlines some application areas for sentiment analysis technology, and discusses what requirements a technology for sentiment analysis of text should be able to answer to. The human sensations of emotion, attitude, mood, affect, sentiment, opinion, and appeal all contribute to the basic categories of sentiment analysis of text, but they have been studied in their own right for a long time. Traditionally, this has been done in the behavioural sciences; [9] but today also by information technologists, especially with respect to interaction design . "Emotion" , "attitude" , "mood" "affect", "sentiment" , and "appeal" are everyday words. No consensus beyond the general vernacular usage of the most common terms can currently be assumed, but mostly the usage tends to hold that affect or affective state is the more general term, emotion a momentary, mostly conscious sensation, and mood an affective frame over a longer time span, not necessarily consciously acknowledged by its holder. These affective aspects of human behaviour and information processing are studied in various ways with variously differing perspectives, but the assumptions of most researchers is that people are in continuously changing affective states of some sort; and that activities people engage in have emotional impact and that their decision making, behaviour, and performance are informed by the affective state of the user. This appears to be true even for very mundane tasks such as workplace tasks or accessing information items, but most importantly for the purposes of this paper, in producing and understanding information items, and, it is assumed, even to the extent that mood, with respect to some topic or facet of life, will colour and influence the understanding, generation, or processing of information on another quite different topic.Sentiment analysis of text typically assumes that lexical items found in the text carry attitudinal loading. Previous work on the loading of individual features and the affective reaction of human subjects to linguistic items on the level of words and terms [16] or still images [15] quite often take "emotion labels" to be

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Boredom, engagement and anxiety as indicators for adaptation to difficulty in games

Cited by 157 publications

References 9 publications

How Are We Connected? - Measuring Audience Galvanic Skin Response of Connected Performances

How Are We Connected? - Measuring Audience Galvanic Skin Response of Connected Performances

Technological Advancements in Affective Gaming: A Historical Survey

Usefulness of Sentiment Analysis

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