Towards a Psychological Construct of Being Moved

Winfried Menninghaus, Valentin Wagner, Julian Hanich, Eugen Wassiliwizky, Milena Kuehnast, Thomas Jacobsen•View original

OverviewBalancedalloy voice

What does it mean to be moved? Not just "I liked it," not just "I cried," but that strange, full-body feeling people point to at weddings and funerals, in reunions and goodbyes, in films and ceremonies, when something seems to reach in and rearrange your insides. Philosophers and poets have chased it for centuries. Psychologists, oddly less so. The Oxford Companion to the Affective Sciences once called it ill-understood. Yet across languages, people name it constantly. A team led by Winfried Menninghaus tried to pin it down without squeezing the life out of it. They started simple: maybe "being moved," "being touched," and "being stirred" are really one family. Maybe that family shows up across real life, media coverage of real events, and fiction and art. And maybe the emotional recipe is a blend we already suspect from experience: sadness and joy together, with an odd signature of feeling intense but not amped up. That hunch goes back a long way. Schiller, in the eighteenth century, talked about a mixed sentiment of suffering and the pleasure taken in it. More recently, Jan Frijda and colleagues described appraisals of importance, certainty, and a readiness to approach and attend. Tears, as Klaus Scherer’s group emphasized, show up a lot. So do chills, or piloerection, as Benedek and Kaernbach pointed out. And in Tokaji’s survey, most people endorsed joy as an ingredient, and a large minority endorsed sadness—roughly three quarters for joy and two fifths for sadness. The ingredients were in the bowl. What Menninghaus and colleagues brought was a program to measure the recipe. Study 1 is the backbone. They used a Geneva Appraisal Questionnaire approach to map episodes people themselves called moving, touched, or stirred. First, they checked that those labels behaved like a pack, and for this study they collapsed them into one "being moved" category. Then they asked people to recall a moving episode and coded what kind of event it was and how it felt. The coding was reliable—raters agreed to a substantial degree at the broad level and moderately at the detailed level. The events you’d guess dominated did, across all three domains: relationship milestones and critical life events. Deaths and funerals. Births and weddings. Separations and reunions. In media-reported real events, political scenes were more common. In fiction, art scenes rose. That diversity matters. It says the state isn’t tied to one genre of life. Now, zoom in on the feelings themselves. Across the whole sample, sadness led the pack, and joy was the strong runner-up. When people recalled moving moments in fiction, sadness was even more prevalent. In their own lives, joy took a larger share. Statistically, these distributions weren’t random quirks; the profile of ingredients differed reliably by domain. If you’ve ever cried at a fictional tragedy yet felt uplifted at your child’s graduation, you’re right on the map drawn here. But the real fingerprint of "being moved" wasn’t just which emotions show up. It was how people appraised what was happening. Over and over, participants rated these episodes as deeply aligned with moral and self-ideals—ethically acceptable, resonant with their values. And they put themselves in the back seat for agency. They didn’t intend these events. They didn’t cause them. They didn’t feel they could change the outcome. Those agency ratings hovered low across their own lives, media, and fiction. A lot of people even treated coping potential as not applicable at all, underscoring the sense of being an observer to something larger—an oath sworn, a life ending, a reconciliation finally spoken. What about the now familiar paradox—how can you feel intensely without being jittery? Their ratings make that paradox precise. When an episode was labeled joyfully moving, positive feelings clearly outweighed negative ones. When it was sadly moving, the negative side took over in real and media events, while fiction came closer to balance. To capture the blend, the team defined a mixed-affect score as the smaller of the two ratings—how much positive if negative dominates, or how much negative if positive does. On that yardstick, fiction showed the most coactivation, higher than own-life and higher than media-reported reality. That’s exactly where we often practice the art of ambivalence—crying in safety. Intensity is the twist. People rated moving episodes as strong—near the ceiling of a short scale. And they tended to rate sadness-colored episodes as more intense than the joyful ones. That pattern lines up with a wider finding in psychology: bad packs a punch. The point here, though, is not that moving moments are gloomy. It’s that they’re full. Big feelings, held with a kind of gentle arousal, as if the body is lit up but not revved. If Study 1 mapped the terrain, Study 2 asked: do the words themselves cluster the way the feelings seem to? The team turned to a brute-force, charmingly low-tech method: free listing. They asked one thousand six hundred eighty-three students to jot down whatever words they associate with eight terms—moving, stirred, touched, deeply moving, gripping, exciting, shattering, and elevating. Then they looked for overlap. Not in a hand-wavy way, but by computing, for every pair of subsamples, how much the two sets of associations share. Imagine lining up the probabilities of each word in one group and in the other, and for each word taking the smaller of the two. Sum those, and you get an overlap score between zero and one—the share of common ground. On that metric, the core terms—moving, touched, deeply moving, stirring—behaved like siblings. Their overlaps with each other were all high. Gripping sat right next to them. By contrast, shattering and elevating kept their distance. They overlapped much less and, tellingly, with different neighbors. Even exciting, which you might think is close by, landed slightly farther out. They didn’t stop at overlaps. Using multidimensional scaling—think of it as plotting the terms in a space where distances best reflect dissimilarities—and a standard clustering method, they saw the same structure: a tight five-term cluster with stirring a little on the edge, and the trio of exciting, elevating, and shattering farther away. To anchor this map in affect, they pulled valence and arousal norms from the Berlin Affective Word List for the associated words people had produced. When they fit valence to their spatial map, the fit was almost perfect; arousal fit more weakly. Translation: we can read the positive-negative axis cleanly in this semantic space, but arousal is fuzzier. And where did the being-moved cluster sit? Between sadness and joy, nudged toward the positive side, with low-to-moderate arousal. With one caveat from lived experience: chills can spike arousal in individual moments. Study 3 is the semantic microscope. Here the team asked nine hundred one participants to rate emotion terms on forty adjective pairs—the classic Osgood semantic differential, extended and adapted in German and English. This pulled the associations out of the free-listing stage and into a structured profile for each term, including being moved, stirred, touched, deeply moved, plus neighbors like joy, sadness, anger, nostalgia, admiration, pity, and more. When they extracted the latent dimensions, five factors captured the landscape. The first was evaluation—valence—with items like joyful versus cheerless, happy versus sad, and sunny versus cloudy loading heavily. The second was activation—arousal—capturing arousing versus soothing, in motion versus still. The third was especially interesting for our purposes: emotional responsiveness. That’s where the being-moved terms loaded strongly, a dimension that looks like empathic, perspective-taking engagement. The fourth factor tracked dominance or potency, and a fifth, weaker one contrasted playful with serious, childlike with grown-up. Now the triangulation. When they took just the eight terms from Study 2 and ran the same multidimensional scaling and clustering, the configuration matched beautifully—so much so that a Procrustes alignment, a way of quantifying similarity between two spatial maps, came out very high, and a Mantel test comparing the underlying distance matrices also showed strong correspondence. The core cluster—moved, touched, stirred, deeply moved—held together again, with gripped nearby and excited, elevated, and shattering pushed out. Place that full set of terms into the classic valence by arousal plane and you see the logic of the construct. Sadness and pity anchor the low-valence side. Joy pulls the high-valence corner. Anger and excited tilt toward higher arousal. And being moved lives between sadness and joy, slightly to the positive, and low to mid on arousal. The statistics back the intuition. Profiles for moved, touched, stirred, and deeply moved did not differ in any reliable way on the forty adjective pairs. But compare that composite profile to joy, and the difference is pronounced; do the same comparison to sadness, and it’s pronounced again. Stack up nostalgia, admiration, or surprise, and you see significant separations there too. You can feel the family resemblance—nostalgia has its own bittersweetness; admiration carries uplift—but the contour of being moved is distinct: mixed valence, moderate arousal, and a heavy load on that emotional-responsiveness factor, all in a stance of witnessing rather than doing. Put the three studies together and a picture settles in. Episodes we call moving tend to be intense but not hyperaroused. They happen on the spectator side of life—agency low, control limited, coping often not even a sensible question. They align with social norms and self-ideals; they feel morally fitting. And they come with a physiological envelope you already know: tears often, chills sometimes. Across real life, media, and fiction, the same structure shows up. The core vocabulary terms move as a pack, the associations cluster where you’d expect, and the mapping from words to feelings replicates across methods and samples. One more beat on numbers, because replication is the quiet hero here. The spatial layout from the free-listing and the one from the semantic differential lined up closely. The cross-method correspondence on the distance structures was strong. Within the core family, multivariate profiles were indistinguishable. And across domains, the ingredients of sadness and joy flexed in sensible ways: more sadness in fictional tragedies, more joy in your own milestones, with the richest mix in the safely distant terrain of fiction. There are limits. These are self-reports about remembered episodes, not heart-rate traces during a funeral or neural signals in the middle of a graduation speech. The cultural lens here is largely German with English anchors, and the measures lean heavily on language. Chills and tears are discussed more than they’re measured. Menninghaus and colleagues are clear about that. The work is a scaffold—carefully built, statistically sound, but still a scaffold. Still, the payoff is real. We now have a cumulative, testable construct for a feeling that stretches from private life to public ritual to art. It blends sadness and joy. It runs hot on intensity and cool to warm on arousal. It leans toward empathy and away from agency. It makes moral sense to us when it arrives. And the words we reach for—moved, touched, stirred, deeply moved—aren’t just poetry. They’re a measurable cluster in our semantic and affective maps. Why does this matter? Because it helps explain an everyday paradox. We seek out scenes that will hurt us a little, on purpose. We go to funerals and feel affirmed. We watch a film that shatters us and feel stitched together. As Schiller hinted long ago and as the data here make concrete, being moved lets us rehearse loss and love in a way that intensifies meaning without demanding action. It’s how art and ritual can carry us, safely, into the deep end. What comes next is straightforward to imagine and hard to do. Capture the time course—when do chills spike, when do tears fall, and how does the blend of sadness and joy evolve minute by minute? Pair the appraisal profile with physiology, not just words. Extend the language work beyond German and English, because the world has more ways to name this feeling than we’ve charted here. But those are the next studies. For now, when you feel your chest tighten at a vow or your eyes sting at a reunion, you can name the shape of it. You’re being moved, in the very specific, now well-charted sense of the phrase.

Psychologists, oddly less so. The Oxford Companion to the Affective Sciences once called it ill-understood. Yet across languages, people name it constantly.

A team led by Winfried Menninghaus tried to pin it down without squeezing the life out of it. They started simple: maybe "being moved," "being touched," and "being stirred" are really one family. Maybe that family shows up across real life, media coverage of real events, and fiction and art.

And maybe the emotional recipe is a blend we already suspect from experience: sadness and joy together, with an odd signature of feeling intense but not amped up. That hunch goes back a long way. Schiller, in the eighteenth century, talked about a mixed sentiment of suffering and the pleasure taken in it.

More recently, Jan Frijda and colleagues described appraisals of importance, certainty, and a readiness to approach and attend. Tears, as Klaus Scherer’s group emphasized, show up a lot. So do chills, or piloerection, as Benedek and Kaernbach pointed out.

And in Tokaji’s survey, most people endorsed joy as an ingredient, and a large minority endorsed sadness—roughly three quarters for joy and two fifths for sadness. The ingredients were in the bowl. What Menninghaus and colleagues brought was a program to measure the recipe.

Study 1 is the backbone. They used a Geneva Appraisal Questionnaire approach to map episodes people themselves called moving, touched, or stirred. First, they checked that those labels behaved like a pack, and for this study they collapsed them into one "being moved" category.

Then they asked people to recall a moving episode and coded what kind of event it was and how it felt. The coding was reliable—raters agreed to a substantial degree at the broad level and moderately at the detailed level. The events you’d guess dominated did, across all three domains: relationship milestones and critical life events.

Deaths and funerals. Births and weddings. Separations and reunions.

In media-reported real events, political scenes were more common. In fiction, art scenes rose. That diversity matters. It says the state isn’t tied to one genre of life.

Now, zoom in on the feelings themselves. Across the whole sample, sadness led the pack, and joy was the strong runner-up. When people recalled moving moments in fiction, sadness was even more prevalent.

In their own lives, joy took a larger share. Statistically, these distributions weren’t random quirks; the profile of ingredients differed reliably by domain. If you’ve ever cried at a fictional tragedy yet felt uplifted at your child’s graduation, you’re right on the map drawn here.

But the real fingerprint of "being moved" wasn’t just which emotions show up. It was how people appraised what was happening. Over and over, participants rated these episodes as deeply aligned with moral and self-ideals—ethically acceptable, resonant with their values.

And they put themselves in the back seat for agency. They didn’t intend these events. They didn’t cause them.

They didn’t feel they could change the outcome. Those agency ratings hovered low across their own lives, media, and fiction. A lot of people even treated coping potential as not applicable at all, underscoring the sense of being an observer to something larger—an oath sworn, a life ending, a reconciliation finally spoken.

What about the now familiar paradox—how can you feel intensely without being jittery? Their ratings make that paradox precise. When an episode was labeled joyfully moving, positive feelings clearly outweighed negative ones.

When it was sadly moving, the negative side took over in real and media events, while fiction came closer to balance. To capture the blend, the team defined a mixed-affect score as the smaller of the two ratings—how much positive if negative dominates, or how much negative if positive does. On that yardstick, fiction showed the most coactivation, higher than own-life and higher than media-reported reality. That’s exactly where we often practice the art of ambivalence—crying in safety.

Intensity is the twist. People rated moving episodes as strong—near the ceiling of a short scale. And they tended to rate sadness-colored episodes as more intense than the joyful ones.

That pattern lines up with a wider finding in psychology: bad packs a punch. The point here, though, is not that moving moments are gloomy. It’s that they’re full.

Big feelings, held with a kind of gentle arousal, as if the body is lit up but not revved.

If Study 1 mapped the terrain, Study 2 asked: do the words themselves cluster the way the feelings seem to? The team turned to a brute-force, charmingly low-tech method: free listing. They asked one thousand six hundred eighty-three students to jot down whatever words they associate with eight terms—moving, stirred, touched, deeply moving, gripping, exciting, shattering, and elevating.

Then they looked for overlap. Not in a hand-wavy way, but by computing, for every pair of subsamples, how much the two sets of associations share. Imagine lining up the probabilities of each word in one group and in the other, and for each word taking the smaller of the two.

Sum those, and you get an overlap score between zero and one—the share of common ground. On that metric, the core terms—moving, touched, deeply moving, stirring—behaved like siblings. Their overlaps with each other were all high.

Gripping sat right next to them. By contrast, shattering and elevating kept their distance. They overlapped much less and, tellingly, with different neighbors. Even exciting, which you might think is close by, landed slightly farther out.

They didn’t stop at overlaps. Using multidimensional scaling—think of it as plotting the terms in a space where distances best reflect dissimilarities—and a standard clustering method, they saw the same structure: a tight five-term cluster with stirring a little on the edge, and the trio of exciting, elevating, and shattering farther away. To anchor this map in affect, they pulled valence and arousal norms from the Berlin Affective Word List for the associated words people had produced.

When they fit valence to their spatial map, the fit was almost perfect; arousal fit more weakly. Translation: we can read the positive-negative axis cleanly in this semantic space, but arousal is fuzzier. And where did the being-moved cluster sit?

Between sadness and joy, nudged toward the positive side, with low-to-moderate arousal. With one caveat from lived experience: chills can spike arousal in individual moments.

Study 3 is the semantic microscope. Here the team asked nine hundred one participants to rate emotion terms on forty adjective pairs—the classic Osgood semantic differential, extended and adapted in German and English. This pulled the associations out of the free-listing stage and into a structured profile for each term, including being moved, stirred, touched, deeply moved, plus neighbors like joy, sadness, anger, nostalgia, admiration, pity, and more.

When they extracted the latent dimensions, five factors captured the landscape. The first was evaluation—valence—with items like joyful versus cheerless, happy versus sad, and sunny versus cloudy loading heavily. The second was activation—arousal—capturing arousing versus soothing, in motion versus still.

The third was especially interesting for our purposes: emotional responsiveness. That’s where the being-moved terms loaded strongly, a dimension that looks like empathic, perspective-taking engagement. The fourth factor tracked dominance or potency, and a fifth, weaker one contrasted playful with serious, childlike with grown-up.

Now the triangulation. When they took just the eight terms from Study 2 and ran the same multidimensional scaling and clustering, the configuration matched beautifully—so much so that a Procrustes alignment, a way of quantifying similarity between two spatial maps, came out very high, and a Mantel test comparing the underlying distance matrices also showed strong correspondence. The core cluster—moved, touched, stirred, deeply moved—held together again, with gripped nearby and excited, elevated, and shattering pushed out.

Place that full set of terms into the classic valence by arousal plane and you see the logic of the construct. Sadness and pity anchor the low-valence side. Joy pulls the high-valence corner.

Anger and excited tilt toward higher arousal. And being moved lives between sadness and joy, slightly to the positive, and low to mid on arousal.

The statistics back the intuition. Profiles for moved, touched, stirred, and deeply moved did not differ in any reliable way on the forty adjective pairs. But compare that composite profile to joy, and the difference is pronounced; do the same comparison to sadness, and it’s pronounced again.

Stack up nostalgia, admiration, or surprise, and you see significant separations there too. You can feel the family resemblance—nostalgia has its own bittersweetness; admiration carries uplift—but the contour of being moved is distinct: mixed valence, moderate arousal, and a heavy load on that emotional-responsiveness factor, all in a stance of witnessing rather than doing.

Put the three studies together and a picture settles in. Episodes we call moving tend to be intense but not hyperaroused. They happen on the spectator side of life—agency low, control limited, coping often not even a sensible question.

They align with social norms and self-ideals; they feel morally fitting. And they come with a physiological envelope you already know: tears often, chills sometimes. Across real life, media, and fiction, the same structure shows up.

The core vocabulary terms move as a pack, the associations cluster where you’d expect, and the mapping from words to feelings replicates across methods and samples.

One more beat on numbers, because replication is the quiet hero here. The spatial layout from the free-listing and the one from the semantic differential lined up closely. The cross-method correspondence on the distance structures was strong.

Within the core family, multivariate profiles were indistinguishable. And across domains, the ingredients of sadness and joy flexed in sensible ways: more sadness in fictional tragedies, more joy in your own milestones, with the richest mix in the safely distant terrain of fiction.

There are limits. These are self-reports about remembered episodes, not heart-rate traces during a funeral or neural signals in the middle of a graduation speech. The cultural lens here is largely German with English anchors, and the measures lean heavily on language.

Chills and tears are discussed more than they’re measured. Menninghaus and colleagues are clear about that. The work is a scaffold—carefully built, statistically sound, but still a scaffold.

Still, the payoff is real. We now have a cumulative, testable construct for a feeling that stretches from private life to public ritual to art. It blends sadness and joy.

It runs hot on intensity and cool to warm on arousal. It leans toward empathy and away from agency. It makes moral sense to us when it arrives.

And the words we reach for—moved, touched, stirred, deeply moved—aren’t just poetry. They’re a measurable cluster in our semantic and affective maps.

Why does this matter? Because it helps explain an everyday paradox. We seek out scenes that will hurt us a little, on purpose.

We go to funerals and feel affirmed. We watch a film that shatters us and feel stitched together. As Schiller hinted long ago and as the data here make concrete, being moved lets us rehearse loss and love in a way that intensifies meaning without demanding action. It’s how art and ritual can carry us, safely, into the deep end.

What comes next is straightforward to imagine and hard to do. Capture the time course—when do chills spike, when do tears fall, and how does the blend of sadness and joy evolve minute by minute? Pair the appraisal profile with physiology, not just words.

Extend the language work beyond German and English, because the world has more ways to name this feeling than we’ve charted here. But those are the next studies. For now, when you feel your chest tighten at a vow or your eyes sting at a reunion, you can name the shape of it. You’re being moved, in the very specific, now well-charted sense of the phrase.

Related lectures