The Best Technology for Studying Dreams

It’s hard to beat the simple practice of keeping a dream journal.

Many exciting new tools are being developed to help us understand the nature and functions of our dreams. For example, researchers are developing technologies for generating a video “read-out” of a person’s dreams based on neural signals from the brain. They are devising methods to stimulate a sleeping person’s brain to instigate lucidity or consciousness during a dream, or even to prompt certain kinds of dream content.

However, none of these new technologies are as valuable for the study of dreams as one of the simplest tools available: the dream journal. A record of an individual’s dreams over time offers the most powerful tool we currently have for the study of dreams. Even compared to the most high-tech devices used by neuroscientists, the dream journal has big advantages in effectiveness, accessibility, and privacy.

Effectiveness

The new dream technologies mentioned above have very short track records. We still don’t know many details about their impact on brain functioning during sleep, nor do we know how the impact varies according to individual differences among people from across the demographic spectrum. And, all these tools rely on measurements of neural activity that have to be interpreted by the researchers and translated into meaningful mental content. That’s not an easy or purely objective process.

However, dream journals as a tool of studying and exploring dreams has a very long track record, going back many centuries (The Sacred Tales of Aelius Aristides in the 2nd century may be the oldest surviving example). We know from extensive psychological research that recording one’s dreams over time yields rich personal insights and self-knowledge. Psychologists have used dream journals starting with Freud’s own dreams in The Interpretation of Dreams, and continuing through Allan Hobson’s use of the “Engine Man’s” dreams in The Dreaming Brain, and now to the works of G. William Domhoff, Michael Schredl, and others who find that dream journals provide legitimate scientific insights into recurrent patterns of content. Only by tracking an individual’s dreams over time can these patterns be identified. Both for psychologists doing research and individuals seeking personal growth, the dream journal remains the most effective technology available.

Accessibility

The new dream technologies are generally used in hospitals or research laboratories. Some devices have been developed for home use, but they tend to be expensive and complicated to operate. Extensive training and preparation are required for the use of these tools, along with a sophisticated computer system and a reliable internet/electrical system. All of these factors have limited the accessibility of new dream technologies to a very small number of people.

The dream journal, by contrast, is available to virtually everyone. To keep a dream journal, you need no training or special preparation, and you don’t have to go to a laboratory or hospital. All that is required is a method of recording your dreams (e.g., by pen and paper, computer, voice-to-text), and a safe place to preserve them over time. This makes the dream journal by far the most accessible tool for studying dreams.

Privacy

Almost every type of new dream technology has connections to the internet that feed data from individual dreamer to the researchers and back again. Even if the researchers preserve the confidentiality of the individual’s data, which of course they should, the sheer presence of an outside observer peering into one’s dreaming experiences and reflections naturally heightens people’s concerns about personal privacy. Some of the new technologies, for example the dream-visualization tools and the dream-altering tools, clearly raise enormous ethical issues around protecting the privacy and integrity of one’s inner thoughts.

A dream journal has the advantage here of being a type of personal diary. Just as a diary provides a safe and private space for honest self-reflection, a dream journal offers the same kind of private space for exploring one’s dreams. A dream journal “works” as a tool without anyone else’s input. All you need is you, paying attention to your own dreams consistently over time. You can keep the results to yourself, and no one else needs to know anything about what you are doing.

None of this is to dismiss the exciting potentials of many new technologies to improve our understanding of dreams and perhaps even enhance our experience of dreaming in a meaningful way. But the enduring power and simplicity of the dream journal, and its advantages in effectiveness, accessibility, and privacy, suggests that a good strategy for new technologies is to build on the dream journal, amplifying what it can already do. Any new dream technology will be stronger if it is grafted onto a solid dream journal system as its roots.

 

Note: this post first appeared in Psychology Today on May 3, 2021.

What Are the Ethics of Dreaming?

When people think about ethics, they usually focus on the evaluation of good or bad behaviors in the waking state. But what about the ethical status of the one-third of our lives that we spend in sleep? Do we have any ethical duties or obligations relating to sleep? Do dreamers have any basic rights or responsibilities?

Many people treat dreaming as a kind of ethical “free-fire zone,” where moral boundaries don’t apply and anything goes. The ancient Greek philosopher Plato said that when we sleep the “rational, gentle, and dominant” part of the mind retires, unleashing the “beastly and savage” parts, leading to the outrageous immorality of dreaming: “there is nothing it will not venture to undertake as being released from all sense of shame and all reason.” (The Republic, book IX) More recently, some enthusiasts of lucid dreaming have encouraged using conscious dream control as a tool to enjoy consequence-free fantasies of sex and power. Dreaming in this view is reduced to the ethical status of a video game, where nothing is “real” and the players can behave however they wish.

In both of these cases, dreaming is cast outside the sphere of normal ethics. Sleep and dreaming are treated as sub-human realms where ordinary moral rules do not apply.

Several problems follow from this view, to be explored in future posts. Here, we’ll consider one particularly urgent problem. Think of it like this: In regular waking life, if someone tricked you into do something you didn’t want to do, we would call that other person’s action unethical. But does that judgment change if it happens in your dreams? If the person tricks you into having a dream of something you otherwise would not dream about, can we still call their action unethical? It seems not, according to the prior view that nothing that happens in dreaming really matters. Where’s the harm? Where’s the negative impact? They might have forced you to have a dream, but all dreams are unreal, so what exactly did they force you to do? When we start with the assumption that dreaming is a moral wasteland and ontological void, it becomes more difficult to draw appropriate ethical lines around waking behaviors that have effects on people’s capacity for dreaming.

This is not a theoretical concern. Thanks to new technologies in data science and brain imaging, researchers are now able to identify meaningful patterns in dream content with unprecedented speed and accuracy. That’s not a problem—new knowledge is a good thing! The problem comes with the unethical use of that knowledge to manipulate other people’s dreams without their awareness or full understanding. The increasing availability of these technologies makes it easier to attempt such manipulations for political, commercial, or criminal purposes.

It may seem paradoxical, but support for a higher ethical status for dreaming comes from current scientific research on dreams. Findings in neuroscience and cognitive psychology show that the brain processes our experiences in dreams very much like it processes our experiences in waking life. The vivid realism of dreaming is deeply rooted in the regular workings of the neural networks of our brains, with potentially strong and long-lasting effects on the waking mind in the form of “big dreams,” which have been reported throughout history and across all cultures. Modern dream researchers are helping us understand more clearly than ever before that 1) the dreaming mind is closer to the waking mind than Plato’s “wild beast” model suggests, and 2) dream experiences are more neurologically real and personally impactful than the “video game” model suggests.

Of course, Buddhists have long taught that karmic traces can accumulate in sleep, so you shouldn’t think you can break the precepts while dreaming and get away with it. Christian theologians like Augustine and Aquinas have argued that if people consent to immoral behavior in their dreams, their souls are indeed responsible for those sins. Modern researchers are simply adding empirical evidence and a neuro-cognitive framework to confirm this perennial insight about the ethics of dreaming.

 

Note: this post first appeared in Psychology Today, February 3, 2021.

 

A Database for Dreamers

The Sleep and Dream Database (SDDb) is a digital archive designed to promote an empirical, hands-on approach to dream research.  The SDDb enables users to apply basic tools of data analysis to identify meaningful dimensions of dreaming experience.  The goal of the SDDb is not to replace other modes of dream interpretation, but rather to complement and enrich them with new insights into the recurrent patterns of dream content.  Anyone who studies dreams, from whatever perspective and for whatever purpose, can benefit from knowing more about these basic patterns.

The SDDb is not the only online resource for this kind of approach to the study of dreams.  The Dreambank.net website run by G. William Domhoff and Adam Schneider also has a large online collection of dream reports gathered by various researchers that can be searched and analyzed in many ways.  The future will likely witness the development of many other online databases with valuable collections of dream material.  The focus here is on the SDDb, but the following discussion highlights important methodological principles that apply to all forms of digitally enhanced dream research.

The SDDb currently contains more than 30,000 dream reports of various types from a wide range of people.  Some of the reports come from individuals who have kept a dream journal for many years.  Some of the reports come from participants in surveys and questionnaires.  Some come from the studies of other researchers who have generously shared their data with me.  The SDDb also includes dream reports from anthropological studies, historical texts, literary sources, and media interviews.  (The database does not, however, contain dream reports that users have entered directly through an online portal. That feature awaits future development.)

The SDDb also includes, in addition to dream reports, the answers given by survey participants to a variety of questions about their sleep and dreaming, for example how often they remember their dreams, how often they experience insomnia, have they ever had a dream of flying or lucid dreaming, etc.  The data also include people’s responses to various demographic questions about their gender, age, race/ethnicity, education, religious practices, political beliefs, etc.

This combination of a large number of narrative dream reports plus a large amount of quantitative survey data makes the SDDb an especially deep and varied resource for the study of dreaming.

The SDDb offers two basic functions for exploring this material.  One, “Survey Analysis,” enables you to compare answers to questions posed on a survey or questionnaire.  For example, you can create a statistical table to compare the dream recall frequencies of people from different age groups, or the insomnia frequencies of people with different political views, or the occurrence of lucid dreams among men and women.

The other function, “Word Searching,” enables you to sift through large numbers of dreams for particular words and phrases.  You can search the dreams by choosing your own word strings, or you can also use the built-in word search templates to search for typical categories of dream content.  This function allows you, for example, to search a set of dreams for all the references to water, or colors, or fear, or the names of famous people or places.

Background and Methodology

The development of the SDDb began in the early 2000’s in consultation with G. William Domhoff and Adam Schneider, who helped me understand how to use their Dreambank.net website.  With their encouragement I started designing a new, complementary database that would 1) include both dream reports and survey data, 2) allow for the use of built-in word search templates, and 3) have the flexibility to enable a wide range of searches and analyses.  In 2009 I worked with Kurt Bollacker, a software designer and engineer from San Francisco with expertise in digital archiving practices, to build the first version of the database.  In 2014 I began working with Graybox, a web technology company in Portland, to expand the scope of the SDDb and improve its user interface.  A major upgrade of the database was completed by Graybox in the spring of 2020.

The word search approach has many advantages as a mode of dream research include its speed, transparency, replicability, flexibility, and power to analyze very large quantities of material.  The process is fairly easy to learn, and sites like the SDDb and Dreambank.net provide free and open access for users to engage in their own study projects aided by these new digital tools.

This approach has several disadvantages, too.  They include deemphasizing the qualitative aspects of dreaming, overemphasizing the measurability of dream content, and leaving open the key question of how to connect the numerical frequencies of word usage with the waking life concerns of the dreamer.

These disadvantages can be diminished by using quantitative analysis as one method among others in a multidisciplinary approach to dreams.  There is no reason in principle why word search methods cannot work in coordination with other methods using qualitative insights and evaluations.  Indeed, I would argue the future prosperity of dream research depends on developing better interdisciplinary models for integrating the results of multiple methods of study.  The users of the SDDb can help to make progress in creating those models.

To address the challenge of how to connect the word usage frequencies with relevant aspects of the dreamer’s life, two principles should be kept in mind.  These principles suggest paths for exploring the potentially meaningful connections between the dream and the individual’s waking situation.

One principle is the continuity hypothesis: the relative frequency with which something appears in a person’s dream can be a reflection of its importance as a meaningful concern in the person’s waking life.  In other words, the more often something (a character, setting, activity) shows up in dreams, the more emotionally important it’s likely to be in waking life. To be clear, the continuity does not need to be literal or physical; it’s more what people care and think about in their waking lives.

As an example, one of the dream series in the SDDb comes from “Bea,” a young woman whose anxious, sad dreams were continuous not with her actual life, which was quite safe at the time, but with her worries about possible bad things that might happen to her family or to the students in her care as dormitory resident assistant.

The other principle is the discontinuity hypothesis: infrequent and anomalous elements of dream content can be spontaneous expressions of playful imagination, occurring at any point in life but especially in times of crisis, change, or transition.  Something that appears very rarely and is dramatically discontinuous with typical patterns of dream content can reflect the mind’s concerted effort to go beyond what is to imagine what might be.

As an example, the “Nan” series in the SDDb comes from a woman who had suffered a horrible car crash, followed by several months in the hospital. Most of the dreams in her series have negative, nightmarish quality (as would be expected from the continuity hypothesis), but one dream is unusual in having multiple colors, a good fortune, and a reference to beauty. Nan singled this dream out as having an especially important impact on her during her recovery from the accident, giving her a sense of hope that one day she would regain her health and creative spirits (which she eventually did).

A New Feature: The SDDb Baselines

The recent upgrade of the SDDb included the addition of a new feature that allows users to compare the results of word searches with a large set of more-or-less “average” dreams. This feature helps to determine the significance of the word search results. For example, I said above that most of Nan’s dreams have a “negative, nightmarish” quality. How can I support that claim? By using the baselines feature.

The baselines are two curated sets of “most recent dreams” from 2,094 males and 3,227 females, gathered by several researchers from a variety of populations between the 1950’s and the present (including the Hall and Van de Castle “norm” dreams). They are aggregated here to represent typical densities of the appearance of key words or phrases in ordinary dreaming.

In Nan’s case, her dreams indicate she definitely did feel strong concerns at this time, in a mostly negative direction.  Of her 26 dreams, 8 of them (31%) have at least one reference to fear.  The corresponding figure for the female baselines is 25%. She has references to death in 19% of her dreams, versus 9% for the female baselines; references to physical aggression in 23%, versus 15% for the female baselines; and zero references to happiness, versus 8% in the baselines.

These frequencies accurately reflect the frightened and vulnerable quality of Nan’s feelings in waking life. Even if we knew nothing about Nan’s personal life, we could use these variations of her dreams from the baselines to make the prediction that she is suffering through a difficult and frightening situation.

This is the foundation for the “blind analysis” method I have been using in several papers and IASD conference presentations (see below). Now the tools I use to make those analyses are available to everyone.

 

Further reading:

  1. The Meaningful Continuities Between Dreaming and Waking: Results of a Blind Analysis of a Woman’s Thirty-Year Dream Journal. Dreaming 28: 337-350.
  2. Using the LIWC Program to Study Dreams. Dreaming 28: 43-58. (Co-authored with Mark Graves)
  3. The Digital Revolution in Dream Research. In Dream Research: Contributions to Clinical Practice (edited by Milton Kramer and Myron Glucksman) (Routledge).
  4. Dreaming in Adolescence: A “Blind” Word Search of a Teenage Girl’s Dream Series. Dreaming 22: 240-252.

 

The New Dream Studies and the Wall Street Journal

Dream researchers are creatively deploying a variety of big data technologies to open a new era of oneiric discovery.

An article appeared earlier today by Robert Lee Hotz, science reporter for the Wall Street Journal, titled “New Insights into Dreams and What They Say About Us.” It’s a great article, well-written and thoroughly researched, and quite fair-minded towards the scientific study of dreams. (The article can be found here, if you have WSJ access.)

Here is my favorite line:

“While still highly experimental, the new dream studies underscore the power of data mining to assemble unexpected insights by sifting through large data sets of seemingly unrelated information.”

That is very well put. Exciting possibilities beckon on the horizon, and yet much more work needs to be done in mapping the multidisciplinary terrain between here and there. Hopefully others who read the article will recognize these potentials and contribute their insights to this dynamic, though still “highly experimental” realm of inquiry.

I always want to get people more enthused about the study of dreams—but not too enthused. To my great relief, Hotz concludes the WSJ article with some cautionary words (my own included) about the need for greater ethical evaluation and awareness of the possibly harmful abuses of these technologies.

Two follow-up notes from the article.

First, the survey of dreams in relation to the Black Lives Matter movement and recent protests against racial injustice involved 4,947 American adults, completing an online questionnaire designed by me and administered by YouGov on June 15-19, 2020. I am currently working with Michael Schredl on an article analyzing the responses to this survey. An early preview of the results appeared in a post I wrote for Psychology Today on June 25, 2020. The data from this survey are not yet available in the Sleep and Dream Database, but they will be soon.

Second, to the question of “How many dream reports from how many people are in the SDDb?” I gave the estimate of more than 26,000 dreams from more than 11,000 people. I obtained those figures by using the SDDb’s advanced word search tool and defining the data set as all reports with a minimum word count of 5, which yields a result of 26,498 dreams from 11,346 participants. There are surely many additional dreams in the database of less than five words, but many of those reports include “non-dream” answers (such as “no,” “don’t remember any”), which are important to preserve but shouldn’t be counted in overall tallies of the actual dreams. There are also some non-dreams of more than 5 words, but not enough to alter the basic estimate of 26,000 dream reports currently in the database.

Dreams of Wildfire

The West Coast has a long history of wildfires, and dreaming about wildfires. A study from the 1991 Oakland Hills Firestorm has important lessons for those of us currently being threatened and harmed by the blazes in California, Oregon, Washington, and elsewhere.

On October 20, 1991, almost exactly two years after the Loma Prieta earthquake struck the Bay Area, a brush fire in the eastern hills of Oakland, California exploded into a racing wall of flame that consumed several residential neighborhoods with shocking speed. Twenty-five people died, hundreds were injured or suffered from smoke inhalation, and more than 3,000 homes and apartments were reduced to ashes.

Two weeks after the fire was finally extinguished, Dr. Alan Siegel, a clinical psychologist from Berkeley, and his colleagues Barbara Baer and Karen Muller initiated a very timely and illuminating study. They recruited three groups of people: 28 who lost their homes, the Fire Survivors; 14 who lived in burn zone but homes were not destroyed, the Fire Evacuees; and 18 people living outside the evacuation zone, the Control Group. All the participants provided an interview, responses to several questionnaires (e.g., the Beck Depression Inventory), and a two-week dream journal. Siegel and his colleagues carefully analyzed all this information, focusing special attention on patterns in their dreams. Their work appeared as a chapter in Deirdre Barrett’s excellent edited work Trauma and Dreams (1996).

Two of Siegel’s findings stand out as potentially helpful for people currently in the West Coast wildfire danger zone.

The first came as a surprise to the researchers:

“An unexpected finding of our study is the profound and largely unacknowledged reactions of the Fire Evacuees—people who lived in the burn zone but whose homes were spared. Their unremitting survivor guilt, depression, intrusive thoughts, and nightmares were more distressing than that of the Fire Survivors.” (161)

Siegel emphasizes the therapeutic significance of this finding. In addition to those who have been directly impacted by a disaster, the “lucky survivors” can suffer terribly, too, in ways they may try to hide or minimize as part of their survivor guilt.

The second important finding is that “post-fire dreams reawakened preoccupations with grief from earlier epochs” (167). The experience of a new trauma has the potential to reactivate memories, feelings, and physiological reactions from previous traumas. This is especially important to recognize when trying to help people find their path towards recovery and healing:

“Of all the factors shaping coping and recovery, one invisible dimension of the Survivors’ and Evacuees’ experience was dominant—the lingering emotional impact of earlier losses, traumas, and deprivations… Those with more profound backgrounds of trauma were more severely affected and slower to recover. Their dreams after the fire and around the anniversary of the fire frequently used the metaphor of their earlier traumas to depict reactions to the Firestorm and its aftermath.” (174)

Siegel’s work highlights a vital insight in caregiving work in the wake of a disaster: the people most vulnerable to psychological suffering from the present event are likely to be those who are carrying unhealed wounds from the past.

There is no getting around the long-term impact of such experiences on everyone involved, and Siegel’s observation about anniversaries is worth underlining. He says “firestorm survivors suffered profound reactions to the impending first anniversary of the fire” (173). This should be kept in mind when planning public memorials and commemorations of a disaster, which different people may experience in very different ways.

Still, there is reason to hope that with time and effective caregiving, recurrent post-traumatic nightmares can gradually change and transform in more positive directions, becoming less fixated on the specific triggering event, more varied and imaginative in form, and generally dreamier in mood and feel. This was a key finding of Ernest Hartmann in his 1984 work Nightmares, to which Siegel refers in his conclusion:

“A series of dreams often shows a progression toward mastery as a trauma is resolved. Nightmares that are like graphic memories of the trauma gradually fade, giving way to dreams less focused on the trauma and more mixed with other concerns.” (176)

This important study by Siegel and his colleagues adds further evidence in support of the idea that greater familiarity with dreaming can have subtle but significant public health benefits. Dreaming is a vital part of our innate crisis-response system, hard-wired into our brains over millions of years of evolution (and presumably many, many wildfires). Promoting more knowledge about dreaming and dream-sharing offers a simple and effective way of strengthening our collective resilience whenever disaster strikes.

 

Reference:

Alan Siegel, “Dreams of Firestorm Survivors,” in Trauma and Dreams, ed. Deirdre Barrett (Harvard University Press, 1996), pp. 159-176.

Note: this post first appeared in Psychology Today, September 13, 2020.