The Measurement of Eye Contact in Human Interactions: A Scoping Review

Eye contact is a fundamental aspect of nonverbal communication and therefore important for understanding human interaction. Eye contact has been the subject of research in many disciplines, including communication sciences, social psychology, and psychiatry, and a variety of techniques have been used to measure it. The choice of measurement method has consequences for research outcomes and their interpretation. To ensure that research findings align with study aims and populations, it is essential that methodological choices are well substantiated. Therefore, to enhance the effective examination of eye contact, we performed a literature review of the methods used to study eye contact. We searched Medline, PsycINFO and Web of Science for empirical peer-reviewed articles published in English that described quantitative studies on human eye contact and included a methodological description. The identified studies (N = 109) used two approaches to assess eye contact: direct, i.e., assessing eye contact while it is occurring, and indirect, i.e., assessing eye contact retrospectively (e.g., from video recordings). Within these categories, eight specific techniques were distinguished. Variation was found regarding the reciprocity of eye contact between two individuals, the involvement of an assessor and the behavior of participants while being studied. Measures not involving the interactors in assessment of eye contact and have a higher spatial and temporal resolution, such as eye tracking, have gained popularity. Our results show wide methodological diversity regarding the measurement of eye contact. Although studies often define eye contact as gaze towards an exact location, this may not do justice to the subjective character of eye contact. The various methodologies have hardly ever been compared, limiting the ability to compare findings between studies. Future studies should take notice of the controversy surrounding eye contact measures.

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Introduction

Eye contact is a fundamental aspect of nonverbal communication and social interaction from birth throughout adulthood (Kleinke 1986). Eye contact is an important indicator for healthy bonding between mother and child at early ages and for the diagnosis of psychiatric disorders later in life (Auyeung et al. 2015; Farroni et al. 2002). Furthermore, it is a fundamental factor in interpersonal relationship building (MacDonald 2009). Not surprisingly, eye contact has been the focus of research in various disciplines, such as communication sciences, social psychology, and psychiatry, and various approaches have been used to asses it.

Health communication research has, for example, focused on eye contact between patient and physician and on turn-taking in conversations. The focus of such research has been on the impact of eye contact on patients’ levels of trust, anxiety, and satisfaction (Farber et al. 2015; Hillen et al. 2015; Pieterse et al. 2007). Within this line of research, researchers have used video cameras to observe the gaze behavior of patients and physicians (Farber et al. 2015; Pieterse et al. 2007). Clinical consultations were filmed and, subsequently, physicians’ and patients’ gaze behaviors were coded by researchers using software for behavioral coding (Farber et al. 2015; Pieterse et al. 2007). As regards turn-taking, studies have observed people involved in a conversation and have, for example, related their amount of gaze to their proportion of speaking time to gain insight into the ‘smoothness’ of encounters (Kalma 1992; Kendon and Cook 1969). These studies have identified patterns of gaze in interactions indicating that someone is speaking, listening or inviting another interactor to take over.

In the field of social psychology, eye contact has, for example, been studied as a way for different individuals or groups to approach or deceive each other (Kleinke 1986). To understand how eye contact enables approaching behavior, eye contact is usually experimentally enhanced or obstructed during social encounters. Afterwards, effects are assessed on outcomes such as distance and affiliation (Argyle and Dean 1965; Knight et al. 1973). Studies focusing on deception and manipulation have compared the amount of eye contact between participants instructed to lie with a control group of truth-tellers (Jundi et al. 2013; Mann et al. 2013).

Research on eye contact within psychiatry often focuses on disturbed eye contact patterns as a potential indicator of psychiatric pathologies (Guillon et al. 2014; Papagiannopoulou et al. 2014; Schulze et al. 2013). Such studies have, for instance, found that individuals diagnosed with autism spectrum disorder tend to gaze less at the eye area compared to healthy individuals (Guillon et al. 2014; Papagiannopoulou et al. 2014; van der Geest et al. 2002). These studies generally use the amount of eye-directed gaze as a proxy for eye contact. For example, in a recent study, individuals diagnosed with autism spectrum disorder were instructed to look at the eye-region of faces in pictures. This allowed the researchers to examine the neurological effects of their gaze behavior in the subcortical system using fMRI (Hadjikhani et al. 2017). As illustrated, eye contact is central to research in various disciplines focused on understanding human interaction, using a variety of measurement strategies. As eye contact is such a crucial indicator of interpersonal relationships, clarity is needed about how it is defined. Moreover, valid and reliable methods should be chosen to assess it, appropriate for the specific research aim and population. If we want to aggregate and advance research on interpersonal eye contact, we need a clear overview of the different methodologies and their interpretations.

Several previous reviews have grouped the literature on eye contact. For example, the importance of eye contact in patient-physician communication was reviewed by MacDonald (2009). Furthermore, Senju and Johnson (2009a) reviewed the effect of (perceived) eye contact on cognitive processing. More recently, Grossmann (2017) reviewed eye contact from an ontogenetic, phylogenetic, neurological, and neuro-hormonal perspective. These reviews have proposed multiple interpretations and models for understanding eye contact. However, they did not take into account the methodological variations in empirical studies on eye contact. A methodological review may provide insight into the implicit assumptions made by researchers about what eye contact is.

Although many researchers state they aim to investigate “eye contact”, variation in the methodologies to measure it complicates aggregation or comparison of study findings. Therefore, our aim was to provide an overview of the methods used to study eye contact across research disciplines. More specifically, we investigated how eye contact is defined and assessed in the empirical literature to uncover the specific techniques that have been used in eye contact research. To that end, we analyzed for individual studies general characteristics (study design, cohort, and field of study), operationalization of eye contact, and participant behavior under investigation. More generally, we analyzed the evolvement of eye contact measures over time, and the covariances between the operationalizations, age group of participants, field of study, and research question.

Method

Search Strategy

We conducted a bibliographic search in Medline, PsycINFO, and Web of Science, using the following terms: (eye contact) OR ((direct OR mutual OR dyadic OR eye) AND (gaze OR gazing)). For the exact search strings per database see “Appendix 1”. The search terms were refined beforehand based on the scope of our research question, literature, an initial exploratory search, and consultation with expert librarians. The search was limited to journal articles written in the English language. The last search date was February 8, 2018. The review was registered in the PROSPERO database, registration number: CRD42018094107. One study not identified in the initial search was added based on expert opinion of one of the reviewers.

Article Selection

Once the search was completed, two authors (CJ, MH) independently screened and discussed 100 articles based on their title and abstract to refine the inclusion criteria. Using these criteria, the same two authors independently screened 500 titles and abstracts to assess congruence and to refine exclusion and inclusion criteria. All further articles were screened by one author (CJ). We included only empirical journal articles. Since our main focus was on the measurement of eye contact in human–human interaction, we used the following inclusion criteria:

• Authors described “eye contact” or mutual gaze behavior to be a part of the primary aim or research question of the study.
• The study was focused on interaction between two real humans (i.e., no studies involving interaction between humans and animals or pictures).
• Human eye contact was assessed using quantitative measures.
• Methods to assess eye contact were specifically described in either the introduction, method, or results section.

We included studies on related concepts such as ‘interpersonal looking’ or ‘visual regard’ only if the authors additionally explicitly mentioned to focus on our focus of interest, i.e., ‘eye contact’. Therefore, if authors were clearly focusing on ‘eye contact’, but did not mention these exact words but related terminology such as ‘mutual gaze behavior between humans’ a study was included.

After the initial screening of titles and abstracts, final eligibility of the articles was determined based on the full-text. Two authors screened the full texts independently (CJ, RH). Any discordances were resolved through discussion. For all included articles, data were subsequently extracted according to a predefined extraction form. The extracted data included study aim, study design, field of study, participant age group and health status, and study methodology—i.e., the definition and the operationalization of eye contact, and measures and techniques. See “Appendix 2” for the complete extraction form.

Results

Study Selection

The results of the search are summarized in Fig. 1 in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). The search yielded a total of 5583 unique articles. After initial screening, 224 articles were assessed based on the full-text and 109 studies met the inclusion criteria.

Characteristics of the Included Studies

Study characteristics (N = 109) are summarized in Table 1. The studies were published between 1965 and 2017. Studies were performed mostly in the United States (n = 60) and European countries (n = 33). There were 80 experimental studies, one of which was a randomized controlled trial, and 29 were observational studies, of which 8 had a longitudinal design.

Over time, technical advances have resulted in eye contact measures that have become increasingly precise and accurate. Higher resolution has enabled more temporal and spatial precision. For instance, when estimating the total duration of eye contact based on observer judgment, one may estimate in minutes or perhaps seconds. Eye-tracking techniques enable estimates of eye contact duration in milliseconds (Hessels et al. 2017; Hurley and Marsh 1986). The same accounts for spatial resolution. A coding sheet may capture whether someone gazes towards the general face region, whereas eye tracking enables researchers to distinguish between gaze towards the right vs. the left eye (Hessels et al. 2017; Phillips et al. 1992).

Studies also differed regarding the involvement of the assessor in the actual eye contact. In 15 studies, the assessor was directly involved in establishing eye contact. For example, in multiple studies, the assessor served as interviewer and pressed a button on an event recorder whenever the interviewee looked them in the eyes. In the remaining 94 studies, assessors were not involved in the eye contact. For example, in multiple studies, independent assessors retrospectively scored the occurrence of eye contact based on video recordings of an interaction.

Figure 3 shows that the involvement of assessors in assessing eye contact has decreased over the years.

Covariance Between Operationalization and Study Characteristics

A frequency analysis of co-occurrences between participant age groups (adolescents; adults; children; elderly; infant; mixed) and operationalizations (study design; technique; moment of assessment; reciprocity; gaze location; involvement of the assessor) was performed (see “Appendix 3”). Few distinct patterns of co-occurrence were found, except for one: most observational studies were done with infants and children (18 out of 30) and most experimental studies were done with adults (56 out of 78). Next, a frequency analysis on co-occurrence of study field (approach-proximity; conversation; development; developmental psychiatry; group dynamics; psychiatry) with operationalizations was performed. Results again yielded few patterns, except that almost half of the observational studies (14 out of 30) were focused on (child) development whereas most experimental studies (39 out of 78) were focused on conversations.

It was not possible to quantitatively examine co-occurrence of research questions with methodology of the included studies, because of their high diversity.

Discussion

To create an overview of the various ways in which eye contact has been measured across disciplines we explored the assessment of eye contact in empirical studies. We identified 109 studies measuring eye-contact starting from 1965. We distinguished two categories of assessment, i.e., direct and indirect, and eight specific assessment techniques used within six different research disciplines. The identified techniques varied in spatial and temporal specificity, and in their reliance on human judgment.

Our results demonstrate a wide variety of methods to assess eye contact. Specifically, the eight identified techniques produce different outcomes. Estimation by a participant or observer yields a single indicator of eye contact occurrence. A coding sheet gives an assessor’s estimation of the level of eye contact on a predefined scale. A timer provides a (cumulative) amount of duration, and an event recorder both frequency and duration of the level of eye contact. Video camera(s) yield any of the aforementioned outcomes and can additionally be used for retrospective assessment. A camera on glasses can additionally provide a mobile perspective. Head-mounted and desk-mounted eye-tracking techniques assess (mobile) time and frequency of fixations within a certain area of interest. These different techniques have evolved over time, increasing in temporal and spatial resolution. Eye-tracking yields more precise measurements than estimation or coding sheet techniques. Eye-tracking techniques also enable researchers to operationalize eye contact with more refined criteria, thereby facilitating replication studies.

Yet, the more novel techniques may not necessarily be the preferred techniques—they are often more expensive, require a different set of skills and have so far been time-intensive, limiting sample sizes (Franchak et al. 2017; Honma 2013). Yet, due to fast technological advances, eye tracking analysis is now becoming less time intensive, enabling larger sample sizes. Additionally, not every research question requires the precision that eye-tracking enables. In Table 3, we provide an overview of the possibilities offered by the various techniques, to provide some guidance in choosing the right technology for different types of research questions. Our recommendations are not definite. Researchers should choose what best suits their research question, population, and task. In their decisions, they can take into account factors such as obtrusiveness, interest in subjective experience or gaze location, and the required temporal and spatial resolution. For example, if the aim is to understand the gaze behavior of individuals diagnosed with autism spectrum and/or social anxiety disorders, researchers might want to take into account both frequency and duration of gaze towards the eye region, as these people may differ from healthy controls in dwell times and frequency of looking at the eyes (Auyeung et al. 2015; Hessels et al. 2018a). In people with social anxiety disorder, one might additionally want to assess their estimation of the level of eye contact in comparison to healthy controls, since their interpretation of eye contact might differ (Honma 2013). If the aim is to understand gaze behavior of healthy neonates, observation with video cameras or coding sheets may be appropriate, as these are the least intrusive (Harel et al. 2011).

Table 3 Available methodological options for the measurement of various eye contact related questions

Our results show that the use of measures in which the assessor of the eye contact is involved as an interactor in the eye contact, which therefore cannot be verified afterwards, has decreased over time. Although their relative subjectivity may make these measures less reliable, they do justice to the definition of eye contact as a subjective perception of perceiving another person’s gaze (Gamer and Hecht 2007).

People’s experience of eye contact can be influenced by many factors, such as the presence of a third person, the distance from the other persons’ face, or the perceiver’s visual acuity (Gamer and Hecht 2007). We found that researchers often operationalize eye contact as being tied to a specific gaze location. Yet, this may not do justice to the personal experience of eye contact. It is known that humans are not always capable of judging when they are being looked at in the eyes. Particularly downward directions (i.e., towards the mouth) often still elicit the experience of eye contact (see Gamer and Hecht 2007). However, in specific cases, it could be relevant to focus on specific gaze locations such as the eye region, for example, when using the amount of eye contact as a diagnostic criterion for pathologies such as autism spectrum disorder. Whereas humans are usually unable to assess whether gaze is directed towards specific facial regions, novel measurement techniques like eye tracking are capable of doing so (Auyeung et al. 2015; Gamer and Hecht 2007).

If possible, future studies should combine measures that rely on personal experience of eye contact with techniques without the assessor’s involvement in the eye contact registration, to determine (dis)congruence between their results. Such studies could, for example, investigate to what extent gaze location reflects people’s subjective experience of eye contact.

When investigating eye contact, researchers should choose their methods based on what best fits their research aim and population. For example, the subjective experiences of neonates are obviously impossible to assess, whereas in psychiatric populations it may be very insightful to measure people’s personal experience of eye contact. This aligns with our finding that studies involving infants and children were almost always observational, whereas the experimental studies more often included adult populations.

Our results demonstrate that studies assessing eye contact are heterogeneous, not only in measurement methods, but also regarding study populations and the behaviors that were studied. Such behaviors ranged from naturally occurring conduct, through being interviewed, to assigned tasks such as conversation, games, or trainings. The most coherent group of behavioral tasks studied was identified in developmental psychology and involved observational, naturally occurring behavior of infants. Overall, however, the wide heterogeneity in tasks, outcomes and operationalizations prevents researchers from comparing findings regarding eye contact across studies.

To our knowledge, only two studies have compared eye-contact measures, examining the differences between observer and participant rating (Edmunds et al. 2017; Shaw et al. 1971). One of these found weaker correlations between observer and participant eye contact ratings, than between multiple observer ratings (Shaw et al. 1971). The other study found that using a standing video camera was less reliable than using camera on glasses (Edmunds et al. 2017). Other studies evaluated the reliability and validity of measuring eye contact using either observer ratings (Knight et al. 1973) or video coding (Beattie and Bogle 1982). All of those concluded that there were methodological issues with the studied techniques. For example, when using observer ratings, the distance between observer and participants was found to affect the rating reliability (Knight et al. 1973). When using video cameras, using two cameras (each focused on one of the interactors’ faces), combined in a split-screen was found to be more reliable than using one camera only or two cameras with greater distance (Beattie and Bogle 1982). More studies comparing multiple measures to assess eye contact are needed to provide researchers with guidance in choosing optimal measures for their particular study aim. Furthermore, such comparative research would provide insight into the interpretability of eye contact measures, facilitating the interpretation of both previous and future studies. In addition to choosing between measurement techniques, researchers also need to decide on their specific outcome operationalization. For example, when using eye-tracking, both frequency and duration of eye contact have been used. How precisely to interpret the associated outcomes is not clear yet. For example, a person who makes very frequent, brief eye contact may either be perceived as attentive or as restless. How frequency and duration relate to each other, remains to be determined in methodological research.

A surprising finding is that only a few studies include a detailed description of their methods for assessing eye contact. We excluded studies that did not explicitly describe their measures. Still, 31% of the included studies lacked a specific description of the target gaze region of the supposed eye contact. Moreover, in 19% of the studies, it was unclear whether eye contact was operationalized as reciprocal or not. As a consequence, we cannot assess the comparability of studies aiming to measure eye contact. The use of different measures could signify that different studies are investigating different things. For instance, a study measuring unidirectional eye contact using a scale might yield completely different results than a study measuring reciprocal eye contact with desk-mounted eye tracking.

The issue of comparability may, in reality, be even more profound than identified in our review. We included only research focused on ‘eye contact’, not on related phenomena, and excluded any research on eye contact that did not involve (at least) two human beings. In the research we excluded, even more ways to measure eye contact may have been employed. An example is research instructing individuals to make eye contact with an experimenter in an experimental condition, after which researchers make inferences about whether eye contact has taken place, albeit without formal measurement: (Ponkanen and Hietanen 2012). Other studies outside of the current review’s scope have, for example, instructed participants to look at pictures of faces, using their gaze behavior as a model system for studying human social interaction (Senju and Johnson 2009b). This even greater heterogeneity in measurement could lead to incoherent research findings and conclusions. Future studies should precisely define and operationalize eye contact to enhance interpretation and comparability across studies.

Our conclusions should be interpreted in light of some limitations. First, we did not assess the quality of the included studies, given that our primary focus was to analyze the methodology used to assess eye contact. It is thus possible that the quality of the included studies varies, especially taking into account they date back as far as 1965. However, we believe that giving a broad and historical perspective on the methodologies used to study eye contact justifies our choice. Second, we selected peer-reviewed articles in English only and therefore excluded published articles in other languages.

Conclusion

In this review, we have highlighted the methodological diversity of measures to asses eye contact between two human beings. Of particular importance for future work is how various operationalizations of eye contact—such as the personal experience of eye contact or the more precise measures assessing gaze location—can be used to better understand the phenomenon of eye contact and its consequences for human interaction. To do this, research is needed that captures both the first-person experience of eye contact and the more objective outsiders’ perspective. Researchers need to make their choices for specific definitions and operationalizations of eye contact well-founded, based on evidence or theory. Future studies would benefit from specific descriptions of which techniques were used, the direction of gaze (reciprocal or not), the area of interest of the gaze direction (eyes, face, body or person), and the participant behavior. Moreover, a more meticulous investigation of the comparability of measures is needed before conclusions can be drawn and theories formed about the workings of eye contact.

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Authors and Affiliations

1. Department of Medical Psychology, Amsterdam Public Health Research Institute, Academic Medical Center, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, 1100 DD, Amsterdam, The Netherlands Chiara Jongerius, Ellen M. A. Smets & Marij A. Hillen
2. Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, The Netherlands Roy S. Hessels
3. Developmental Psychology, Utrecht University, Utrecht, The Netherlands Roy S. Hessels
4. Department of Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands Johannes A. Romijn

1. Chiara Jongerius