Mind the Gap! Comparing Retrospective and Concurrent Ratings of Emotion in User Experience Evaluation

Bruun, Anders; Ahm, Simon

doi:10.1007/978-3-319-22701-6_17

Cited by 23 publications

(20 citation statements)

References 24 publications

(75 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A model to study hedonics is the Pleasure-Arousal-Dominance (PAD) model by Mehrabian and Russell [5] which suggest that there are three dimensions that represent the affective response of a user to a stimulus: pleasure which is the scale of the pleasantness of the affective response to a stimulus, arousal which represents an individual's degree of excitement, and dominance which is the extent individuals feel as if they are in control [5,6]. The PAD model has been applied in numerous studies in the field of HCI to measure user intention, behavior and response in various contexts like online gaming [18], online marketplaces [19] and even in UX [20]. Some other models in psychology like the 10 psychological needs by Sheldon, Elliot, Kim and Kasser [7] have also been used in UX to understand human needs that influence their experiences.…”

Section: Literature Backgroundmentioning

confidence: 99%

Designing for Positive Emotional Responses in Users of Interactive Digital Technologies: A Systematic Literature Review

Makkan¹,

Brosens²,

Kruger³

2020

Lecture Notes in Computer Science

View full text Add to dashboard Cite

In this study, 20 papers were reviewed to identify means, methods, techniques, tools or other interventions that practitioners may use to positively influence the affective state of users of digital interactive technologies. A systematic literature review was conducted in order to find such interventions. A literature background covering concepts from the fields of Human-computer interaction, as well as certain concepts from the field of psychology that is relevant to this study is provided. Search criteria were determined and used to identify research papers from various academic resources. Four categories of intervention categories were identified from the papers reviewed, which can be applied to interactive digital technologies by practitioners in order to evoke positive affect on users. These four categories were aesthetics, affective computing, need fulfilment and novel interaction techniques. The identified categories for practitioners were consolidated alongside metadata such as the types of publications of the reviewed papers, the regions the studies were conducted and the growth in the number of studies.Given the effect of positive affect and hedonic qualities on the appeal of a technology to a user, the following research question can be raised: "What practices, techniques or interventions can a practitioner implement to evoke positive affective responses from users of a digital interactive technology?". The aim of this review is to evaluate existing research in the discipline of human-computer interaction (HCI) and user experience to identify the different interventions that have been put forward by researchers specifically intended to improve the emotional responses evoked in users of digital interactive technologies. The focus of this review will not be on the functionality or usability (pragmatic quality) aspects, but instead on the pleasurable and emotional aspects (hedonic quality) of user experiences.This review firstly describes some of the background knowledge on Human-Computer Interaction, Human-Centered Design, User Experience and the Hedonic/Pragmatic model of UX. The literature background also investigates some concepts from psychology, such as the pleasure-arousal-dominance model [5,6], and the ten psychological needs [7]. The selection process of articles used for the review is described in Sect. 3 including search terms, sources, as well as the data extraction process. The extracted research was then reviewed to answer the research question.

show abstract

Section: Literature Backgroundmentioning

confidence: 99%

Designing for Positive Emotional Responses in Users of Interactive Digital Technologies: A Systematic Literature Review

Makkan¹,

Brosens²,

Kruger³

2020

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

“…To date this is the primary method for eliciting emotional reactions within HCI studies, and data is typically gathered after task completion, cf. [2,7]. Given the ephemeral nature of emotions, one should be careful in letting study participants provide such retrospective accounts of real time experiences as this leads to memory biases.…”

Section: Subjective Measuresmentioning

confidence: 99%

“…An example of such a bias is the peak-end effect, cf. [7,9,32,44]. Therefore it is critical that emotions are measured as close as possible to the point in time they occurred.…”

Section: Subjective Measuresmentioning

confidence: 99%

“…Emotional states of users have typically been elicited through subjective ratings of arousal/valence dimensions in, e.g. well validated questionnaires such as the Self-Assessment-Manikin [7]. An emerging alternative is to apply real time sensor data to measure and understand the emotional dimension of UX [24,60].…”

Section: Introductionmentioning

confidence: 99%

“…Data from physiological sensors indicate emotional states of users where e.g. Galvanic Skin Response (GSR) sensors in particular are proven reliable for measuring changes in arousal [7,23]. UX researchers have argued that physiological sensors have limited applicability for practice due to their extensive costs, see e.g.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

It's not complicated

Bruun

2018

Proceedings of the 10th Nordic Conference on Human-Computer Interaction

Self Cite

View full text Add to dashboard Cite

Emotion is a key factor in understanding user experiences (UX) of interactive systems. An emerging trend within HCI is to apply physiological sensors for uncovering emotions. Previous studies rely on various sophisticated analysis techniques and specialized knowledge to interpret sensor data. While commendable for increasing accuracy at fine grained latencies (to detect events within seconds), this can be challenging for UX practitioners without specialized knowledge. This study contributes in two ways. Firstly by understanding the level of sensor accuracy in detecting UX related events. Secondly by applying a basic analysis approach where sensor data is interpreted by 21 nonspecialist participants (no previous experience in doing this). Their performance is compared to random guessing. Findings show that sensor data analyzed by non-specialists are significantly more accurate in capturing subjectively reported UX events than random guessing. An accuracy level of 60-80% was obtained at granularities within 3.5-11 seconds of UX related events.

show abstract

Lifelogging in the Wild: Participant Experiences of Using Lifelogging as a Research Tool

Bruun

Stentoft

2019

Lecture Notes in Computer Science

Self Cite

View full text Add to dashboard Cite

Research in the wild has emerged in HCI as a way of studying participant experiences in natural environments. Also, lifelogging tools such as physiological sensors have become more feasible for gathering data continuously in the wild. This could complement traditional in-waves approaches such as observations and interviews. Given the emerging nature of sensors, few studies have employed these in the wild. We extend previous work by exploring the use of a physiological sensor and camera to examine how participants appropriate and experience wearing these. Participants were engaged in viewing the photos taken during the day and used the sensor and camera data to recall details about their daily experiences and reflect on these. However, participants also went through some efforts in making the camera blend into the environment in order not to break social norms.

show abstract

Mind the Gap! Comparing Retrospective and Concurrent Ratings of Emotion in User Experience Evaluation

Cited by 23 publications

References 24 publications

Designing for Positive Emotional Responses in Users of Interactive Digital Technologies: A Systematic Literature Review

Designing for Positive Emotional Responses in Users of Interactive Digital Technologies: A Systematic Literature Review

It's not complicated

Lifelogging in the Wild: Participant Experiences of Using Lifelogging as a Research Tool

Contact Info

Product

Resources

About